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Function block diagram
Function block diagram
Function block diagram
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Simple function block diagram

The function block diagram (FBD) is a graphical language for programmable logic controller design,[1] that can describe the function between input variables and output variables. A function is described as a set of elementary blocks. Input and output variables are connected to blocks by connection lines.

Design

[edit]

Inputs and outputs of the blocks are wired together with connection lines or links. Single lines may be used to connect two logical points of the diagram:

  • An input variable and an input of a block
  • An output of a block and an input of another block
  • An output of a block and an output variable

The connection is oriented, meaning that the line carries associated data from the left end to the right end. The left and right ends of the connection line must be of the same type.

Multiple right connection, also called divergence, can be used to broadcast information from its left end to each of its right ends. All ends of the connection must be of the same type.

Language

[edit]

Function Block Diagram is one of five languages for logic or control configuration[2] supported by standard IEC 61131-3 for a control system such as a programmable logic controller (PLC) or a Distributed Control System (DCS). The other supported languages are ladder logic, sequential function chart, structured text, and instruction list.

References

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Function block diagram

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from Grokipedia
A function block diagram (FBD) is a graphical programming language standardized in for programmable logic controllers (PLCs), where functions and function blocks are represented as interconnected blocks with inputs, outputs, and signal flow lines, resembling circuit diagrams to model control logic between variables. This language emphasizes data flow and modular reusability, allowing complex systems to be broken down into reusable components like PID controllers or timers without exposing internal algorithms. Developed as part of the suite of five programming languages (including ladder diagram, , instruction list, and ), first published in 1993 with the latest edition in 2025, FBD draws from decades of industrial experience to promote vendor-independent, portable code across PLC platforms. It is particularly prevalent in process industries for tasks such as batch control, safety systems, and repetitive , where its visual structure facilitates easier reading, , and compared to textual languages. Key advantages of FBD include drag-and-drop graphical editing for rapid development, support for parallel execution of blocks based on signal propagation, and dynamic parameters that reduce code redundancy in large projects. Execution occurs in networks scanned left-to-right or top-to-bottom, with function blocks maintaining internal state for stateful operations, enhancing its suitability for real-time control applications.

Introduction

Definition

A function block diagram (FBD) is a graphical programming language that represents control logic through interconnected blocks, primarily used to describe input-output relationships in systems. It visualizes the of a by depicting how inputs are processed to generate outputs, facilitating the design and analysis of complex processes without relying on textual code. Key characteristics of FBD include its use of rectangular blocks as reusable modules, each encapsulating a specific function with defined inputs on the left, outputs on the right, and internal logic that processes . Connections between blocks are shown as lines that carry signals, with data flow conventionally directed from left to right to mimic the logical progression of operations. This modular approach allows blocks to be instantiated multiple times, promoting and in system design. The basic structure of an FBD consists of networks of these blocks linked by signal lines, forming diagrams that can execute sequentially along the flow paths or in parallel for independent branches. Unlike text-based programming languages, FBD emphasizes visual clarity, enabling engineers to grasp intricate control flows and dependencies at a glance, which reduces errors in interpreting system behavior. The execution model typically follows these data connections, processing blocks in the order of signal propagation.

History

The roots of function block diagrams trace back to the mid-20th century in and , particularly in and process control applications. In the , TRW Incorporated developed functional flow block diagrams for defense systems to visualize sequential and parallel functional flows, which adopted in the for mission planning, such as modeling spacecraft operations from launch to landing. These early graphical methods were influenced by signal flow graphs, a technique originating in the for representing dynamics and widely used in by the to depict signal paths and feedback loops. By the , similar block-based representations appeared in (DDC) systems, where table-oriented languages simplified input/output configurations for process , laying foundational concepts for modular function representation. Function block diagrams emerged as a distinct in the and alongside the rise of programmable logic controllers (PLCs), which were invented to replace cumbersome panels in industrial settings. The first PLC, the Modicon 084, was deployed in 1969 following a 1968 specification from , but initial programming relied on mimicking circuits. As PLC capabilities expanded with microprocessors in the late , function block diagrams adapted aerospace-inspired block concepts for digital logic, enabling graphical depiction of data flows, arithmetic operations, and control functions in tasks. This period saw FBDs gain popularity for their intuitive visualization of complex interconnections, bridging analog control heritage with digital implementation. The pivotal standardization of function block diagrams occurred in 1993 with the release of by the , which formalized FBD as one of five interoperable PLC programming languages to promote vendor-independent development. In the 1990s, adoption accelerated through major vendors: integrated FBD support into its STEP 7 software for S7 PLCs starting with version 5.0 in 1999, facilitating graphical programming for industrial processes. followed suit by incorporating FBD into RSLogix 5000 for ControlLogix controllers around 2000, aligning with IEC compliance to enhance . Post-2000 developments marked an evolution toward object-oriented paradigms in FBD, with function blocks reimagined as encapsulating reusable objects supporting and polymorphism in modern PLC environments. This shift, evident in updates to editions from 2013 onward, improved modularity for large-scale systems, as seen in ' TIA Portal and Rockwell's Studio 5000, where user-defined function blocks function like classes to streamline software reuse and maintenance. The 4th edition of , published on May 22, 2025, further refines these features with enhancements to syntax, semantics, and support for contemporary requirements.

Language Elements

Function Blocks

A function block in function block diagram (FBD) programming serves as a reusable module that encapsulates a specific or logic, featuring defined inputs, outputs, and internal variables to process data and maintain state. Unlike stateless functions, function blocks possess internal memory that retains values between executions, enabling them to model complex behaviors such as state-dependent operations. Function blocks are categorized into standard types provided by the programming environment and user-defined types for custom applications. Standard function blocks include basic logic elements like timers (e.g., for on-delay timing) and counters (e.g., CTU for up-counting), as well as more advanced blocks such as proportional-integral-derivative (PID) controllers for process regulation. User-defined function blocks allow programmers to create modules by combining existing blocks or implementing algorithms, promoting and reuse across programs. Key properties of function blocks include their execution behavior and support for multiple instances. They typically execute continuously during program scans or upon specific triggers like a rising edge on an enable input (EN), with an enable output (ENO) indicating successful completion. To support state retention in multi-instance scenarios, each function block instance is assigned a unique name, preserving independent internal states such as timer accumulators or counter values. Function blocks enforce strict for and outputs to ensure type-safe connections and prevent runtime errors, with common types including BOOL for binary signals, INT for integers, and REAL for floating-point values. For instance, a PID function block might feature a REAL input for the setpoint (SP), a REAL input for the process value (PV), and a REAL output for the control signal, allowing precise tuning of proportional, , and gains within the block's internal .

Connections and Execution

In function block diagrams (FBDs), connections represent the flow of signals between elements, such as function blocks, functions, variables, and literals, forming a network where propagates from outputs to inputs. These connections are depicted as lines or branches, with signals typically flowing from left to right, inputs positioned on the left side of blocks and outputs on the right. Branches allow a single output to connect to multiple inputs, enabling for distributing signals, while feedback loops—formed by connecting an output back to an input of an earlier block via VAR_IN_OUT variables—support stateful operations by retaining values across evaluations. Such loops require initialization of feedback variables to prevent , and explicit feedback paths are permitted only in FBD networks. The execution model in FBDs follows a data-driven approach within a network, where proceeds left-to-right and top-to-bottom, ensuring that a block or function executes only after all its inputs are available. Parallel execution occurs implicitly for independent branches within the same network, such as those using OR rails for concurrent signal paths, but the overall network completes only when all outputs are updated based on signal dependencies. In the context of programmable logic controllers (PLCs), FBD programs execute cyclically during the scan cycle, which consists of three phases: reading input values, executing the program logic (including FBD networks), and updating output values, typically completing in 20-50 milliseconds per cycle. No cycles are allowed in the execution path unless managed through stateful feedback with a defined order, preventing infinite loops during a single scan. Execution control in FBDs often utilizes the EN (enable input) and ENO (enable output) mechanism for functions and function blocks, where a false EN input skips execution of the block, leaving outputs undefined, and ENO asserts true upon successful completion or false to indicate errors. This enables conditional execution, such as branching logic where downstream blocks activate only if upstream ENO is true, propagating alongside . Variable assignments occur through these connections, with outputs directly influencing inputs in subsequent evaluations, adhering to rules to maintain consistency. Error handling in FBDs focuses on compilation-time detection, where undefined connections—such as unconnected inputs or outputs—or type mismatches between connected elements trigger , preventing deployment of invalid programs. Runtime issues, like uninitialized feedback variables or invalid operations (e.g., ), set ENO to false and may leave affected outputs undefined, with the system's disposition being implementation-dependent but required to report faults.

Standards

IEC 61131-3

The standard, part of the broader series for , was first published in 1993 to establish a unified framework for industrial automation programming. This initial edition introduced standardized languages, including the function block diagram (FBD), to promote portability and reusability across different (PLC) vendors. The standard underwent significant revisions, with the second edition in 2003 enhancing clarity and adding features like improved data handling, and the third edition in 2013 expanding support for complex systems through better integration of programming elements. The fourth edition was published in May 2025, incorporating updates such as string support (including new USTRING and UCHAR data types), updated function libraries, a comprehensive annex detailing changes from prior versions, and improvements to language semantics emphasizing modularity through enhanced function block and structures. IEC 61131-3 specifically defines the syntax and semantics of FBD as one of five graphical and textual programming languages for PLCs, ensuring consistent representation of control logic through interconnected blocks. It mandates a graphical notation where function blocks are depicted as rectangular elements with inputs on the left, outputs on the right, and execution flow from top to bottom or left to right, facilitating visual modeling of data flow and control sequences. The standard also specifies a core library of standard function blocks and functions, such as the MOVE block for data transfer between variables and the ADD block for arithmetic addition of numeric types, which form the building blocks for user programs. Additionally, it defines elementary and derived data types, including TIME for duration representation, STRING for text handling, BOOL for binary states, INT for 16-bit integers, and REAL for floating-point numbers, to ensure type-safe operations across programs. Compliance with requires PLC systems to support the defined syntax, semantics, and data types, enabling where programs are organized into reusable program organization units () like functions, function blocks, and programs. This modularity allows for hierarchical design, with user-defined function blocks extending the while maintaining compatibility. Systems achieving full conformance demonstrate portability of FBD programs across compliant tools and hardware, reducing in industrial applications. Post-2013 developments have focused on , with the PLCopen organization extending through XML-based formats for exchanging FBD and other language elements between tools. This , now formalized as IEC 61131-10, supports life-cycle management tasks like program migration and integration with textual languages such as within the same project. These enhancements promote seamless collaboration across multi-language environments while preserving the core graphical semantics of FBD.

Other Standards

PLCopen has developed extensions to the standard through XML-based formats that enable the interchange and portability of function block diagrams (FBDs) across different vendor tools and platforms. These XML specifications, introduced in the early and formalized as IEC 61131-10 in , represent FBD elements such as blocks, connections, and execution orders in a structured, vendor-independent manner, facilitating and migration between programming environments. The standard, focused on batch control in , incorporates FBDs within its procedural control model to implement modular recipes and equipment phases in programmable logic controllers (PLCs). This model separates procedural logic from equipment capabilities, allowing FBDs—compliant with —to define interconnected blocks for state-based operations like recipe execution and process segments, enhancing flexibility in systems. Vendor-specific adaptations extend FBD usage through integrations like OPC UA in ' TIA Portal, introduced post-2010 to support (IIoT) applications. In TIA Portal, FBD programs can interface directly with OPC UA servers for secure data exchange between PLCs and higher-level systems, enabling real-time monitoring and in distributed environments. For embedded systems, IEEE publications highlight the application of FBDs based on IEC standards for verification and testing in resource-constrained environments, such as model-based for timely execution in safety-critical controls. Emerging standards like ISO 23247, developed in the 2020s for digital twins in , provide a reference for frameworks to model observable production assets. The standard supports the creation of virtual representations for predictive , aligning with IIoT-driven process optimization.

Applications

In Programmable Logic Controllers

In programmable logic controllers (PLCs), function block diagrams (FBDs) serve as a graphical programming language standardized under :2025, enabling the representation of control logic through interconnected blocks that process inputs to produce outputs during the PLC's cyclic scanning process. Integration occurs via program organization units (POUs), which map inputs and outputs to physical I/O points, allowing FBD programs to execute sequentially within the PLC's scan cycle—typically reading inputs, logic, and updating outputs in a repetitive loop. supports multi-tasking configurations where FBDs can be assigned to specific tasks, ensuring deterministic execution aligned with the PLC's real-time . FBDs are widely applied in PLCs for discrete control tasks, such as motor start/stop sequences, where relay-like blocks handle operations to manage equipment states based on sensor triggers. In analog , they facilitate sensor scaling and signal conditioning, using function blocks like adders or multipliers to convert raw voltage inputs into engineering units. These use cases leverage standard blocks defined in , including timers and counters, to build modular sequences for industrial automation. Key benefits of FBDs in PLC environments include enhanced reusability, as predefined function blocks—such as PID controllers—can be instantiated multiple times across programs without rewriting code, promoting in large-scale systems. The graphical approach also improves program maintainability by encapsulating complex logic within blocks, reducing errors in team-based development. In PLCs, execution follows the scan cycle, which can introduce delays depending on program size in time-critical applications. For simple on/off logic, such as basic circuits, FBDs can be less efficient than alternatives like diagrams due to the overhead of graphical connections and block instantiation.

In Control Systems

In control applications, function block diagrams (FBDs) facilitate the representation of complex feedback systems, such as proportional-integral-derivative (PID) loops, by connecting predefined blocks for sensing, computation, and actuation. These diagrams model signal flows in a modular manner, enabling engineers to depict continuous es like temperature regulation in chemical plants or flow control in pipelines within distributed control systems (DCS). For instance, standard PID function blocks inputs from sensors and outputs to actuators, ensuring stable operation through visual interconnection of control elements. FBDs are extensively used in simulation and modeling tools like / to design and verify control systems prior to hardware deployment. Engineers construct graphical models resembling FBDs to simulate dynamic behaviors, generate test cases, and achieve high coverage for safety-critical logic, such as in personnel safety systems for particle accelerators. This approach allows iterative refinement of control algorithms in a , reducing risks and costs associated with physical implementation. In hybrid control architectures, FBDs integrate with supervisory control and data acquisition () systems for real-time monitoring and oversight, leveraging standards like (OPC-UA) for seamless data exchange. This enables hierarchical control where low-level FBD-based logic on distributed nodes interfaces with higher-level for visualization and alarming, as seen in open process automation systems (O-PAS) for industrial facilities. Such applications include lines and process industries. Key advantages of FBDs in these contexts include enhanced visual fault tracing, where graphical connections allow quick identification of issues in intricate feedback loops, and for hierarchical structures, supporting the addition of blocks without redesigning entire systems. These features promote reusability and in continuous control environments.

Design Considerations

Best Practices

In function block diagram (FBD) programming, modularity is essential for creating maintainable and scalable programs, achieved by employing hierarchical function blocks that encapsulate specific tasks and limit each network to 5-10 blocks to prevent overly complex "spaghetti diagrams." This approach aligns with IEC 61131-3 principles of using Program Organization Units (POUs) such as function blocks to decompose applications into smaller, reusable units with minimal interfaces. Adopting consistent enhances and reduces errors; for instance, use descriptive instance names like "Motor1_Start" for blocks and ensure data flows in a uniform left-to-right or top-to-bottom direction across diagrams. Such practices promote transparency by avoiding ambiguous or abbreviated labels, facilitating and future modifications in industrial control environments. For robust development, thorough testing is recommended, including simulation of inputs prior to deployment to verify behavior under various conditions, and leveraging enable (EN) and enable output (ENO) pins on blocks to enable fault-tolerant execution by halting propagation of errors. EN/ENO mechanisms, as defined in IEC 61131-3, allow conditional execution and status feedback, ensuring that faults in one block do not cascade uncontrollably. Optimization strategies focus on minimizing feedback loops, which can introduce timing issues and complicate debugging, by favoring feedforward structures where possible and clearly documenting assumptions about variable ranges to aid performance tuning and maintenance. This documentation should specify expected input bounds and output behaviors, reducing the risk of overflows or undefined states in real-time applications.

Tools and Software

Several commercial software platforms provide integrated environments for developing Function Block Diagram (FBD) programs, adhering to the standard. ' Totally Integrated Automation (TIA) Portal is a prominent framework that supports FBD as a graphical programming language, enabling users to create logic based on symbols with features like for testing without hardware. Similarly, Rockwell Automation's Studio 5000 Logix Designer includes a dedicated FBD editor for configuring and programming Logix controllers, allowing visual representation of control algorithms through interconnected function blocks. Open-source alternatives offer accessible options for FBD development. Beremiz is an (IDE) compliant with , supporting FBD alongside other languages through a for program creation and a backend for compilation and runtime execution on various hardware. Complementing this, MatIEC serves as an open-source compiler specifically designed to process languages, including FBD, by generating C code from graphical and textual representations for embedding in custom PLC runtimes. Key features across these tools enhance FBD program development efficiency. Drag-and-drop interfaces allow intuitive insertion and connection of function blocks, as implemented in TIA Portal and Studio 5000 Logix Designer. Cross-referencing capabilities track variable usage project-wide, aiding debugging and maintenance in environments like TIA Portal. Many platforms also integrate version control systems, such as , to manage code revisions during collaborative development. Recent trends emphasize cloud-based solutions for remote FBD development, with increased adoption following 2020 to support distributed teams and Industry 4.0 initiatives. Automation Server, a platform, facilitates centralized management of projects, including FBD, enabling remote editing, monitoring, and deployment across devices. As of 2025, emerging AI-assisted tools are integrating with environments to generate FBD code from natural language descriptions, further streamlining development.

Comparisons

With Ladder Diagram

Function block diagrams (FBD) and diagrams (LD), both graphical languages standardized in , differ fundamentally in their representational approach to PLC programming. FBD employs a network of rectangular blocks connected by lines to illustrate data flow and functional operations, where each block represents a predefined or custom function with inputs on the left and outputs on the right. In contrast, LD mimics traditional ladder schematics through horizontal rungs spanning vertical power rails, using symbols like contacts and coils to model logic sequences. These representational differences influence their suitability for various applications. FBD is particularly effective for complex mathematical computations and , such as implementing proportional-integral-derivative (PID) control loops, due to its emphasis on modular, reusable blocks that align with process-oriented designs. LD, however, is better suited to discrete, boolean-based sequencing and electrical-like control tasks, like machine interlocking or simple on/off , as its rung structure intuitively extends relay panel wiring practices. Converting LD programs to FBD presents notable challenges, primarily because the sequential, relay-emulating rungs of LD must be restructured into interconnected functional blocks, often requiring of interconnected contacts into equivalent data-flow logic. This process can introduce errors if timing dependencies in the original LD scan are not preserved. Nonetheless, interoperability is facilitated by shared variables and data types defined in , allowing elements from both languages to coexist in hybrid programs without extensive rewriting. The pros and cons of each language reflect their targeted user bases and implementation strengths. FBD tends to be more intuitive for control and engineers, offering through block reuse and reduced wiring clutter in diagrams, though it demands familiarity with data-flow paradigms. LD remains highly accessible to electricians and maintenance personnel due to its visual similarity to hardwired circuits, enabling quicker and development for basic logic, but it can lead to sprawling, hard-to-navigate programs in complex scenarios. Furthermore, FBD in certain implementations achieves scan independence by executing based on data dependencies rather than fixed rung order, potentially improving efficiency over LD's top-to-bottom sequential evaluation.

With Structured Text

Function block diagrams (FBD) utilize a graphical, dataflow-oriented , where programs are depicted as interconnected blocks representing functions and operations, facilitating a visual representation of signal flows and parallel processes. In contrast, (ST) adopts an imperative, textual reminiscent of Pascal or , employing sequential statements such as constructs, FOR and WHILE loops, and CASE selectors to define algorithmic logic. This distinction underscores FBD's emphasis on modular, block-based interconnections for , while ST prioritizes explicit and procedural execution. FBD proves particularly suitable for applications involving parallel processes and continuous control, such as PID loops or modular process , where the visual layout aids in understanding data dependencies without needing textual sequencing. ST, however, excels in handling complex algorithms, mathematical computations, and iterative operations—like data manipulation or advanced conditionals—that would require multiple custom blocks in FBD, such as implementing a through dedicated function blocks. For instance, ST's compact syntax allows efficient expression of or string handling, making it preferable for large-scale projects demanding precise, high-level programming. Both languages are integral to the standard, ensuring interoperability across compliant programmable logic controllers (PLCs) from various manufacturers, with programs in one language callable from the other to promote and mixed-language architectures. ST code, in particular, can be converted or generated into equivalent FBD representations, enabling textual algorithms to be visualized and integrated into graphical designs for enhanced modularity. This standardization facilitates hierarchical program structures where FBD handles visual interconnections and ST manages underlying computations. In terms of advantages, FBD offers to non-programmers through its intuitive visuals, supporting easier via animated data flows and reusable blocks, which reduces errors in process-oriented tasks. Conversely, ST provides efficiency for intricate logic, with fewer lines of code and powerful structures that streamline development of advanced features, though it demands programming proficiency. Drawbacks include FBD's potential clutter in expansive diagrams, complicating , while ST's text-based nature can hinder visual compared to FBD's graphical animations. Overall, FBD suits visual, parallel-oriented designs, whereas ST favors textual, algorithmic precision, with selection guided by application complexity and developer expertise.

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