Learn PLCs free
Intermediate15 min readProcess Control

INVT Function Blocks for Temperature Control

Learn Function Blocks programming for Temperature Control using INVT INVT Workshop / AutoStudio. Includes code examples, best practices, and step-by-step implementation guide for Process Control applications.

💻
Platform
INVT Workshop / AutoStudio
📊
Complexity
Intermediate
⏱️
Project Duration
2-3 weeks

Learning to implement Function Blocks for Temperature Control using INVT's INVT Workshop / AutoStudio is a useful skill for PLC programmers working in Process Control. This guide walks through the fundamentals with clear explanations and an illustrative example that you can adapt to a simulator or test bench.

The example uses INVT terminology and references controller families such as IVC1 and IVC2. Confirm the exact instructions, data types, firmware requirements, and licensing in the current vendor documentation before choosing hardware or deploying a project.

The Function Blocks approach is particularly well-suited for Temperature Control because process control, continuous operations, modular programming, and signal flow visualization. This combination allows you to leverage visual representation of signal flow while managing the typical challenges of Temperature Control, including pid tuning and temperature stability.

Throughout this guide, you'll find step-by-step implementation guidance, an illustrative code example, and a verification checklist specific to Process Control. Whether you're programming your first Temperature Control exercise or transitioning from another PLC platform, use the material as a starting point and validate it in your exact INVT Workshop / AutoStudio version and controller environment.

INVT INVT Workshop / AutoStudio for Temperature Control

INVT Workshop / AutoStudio is a programming environment associated with INVT controller families such as IVC1, IVC2, IVC3. This guide uses Function Blocks terminology from the supplied guide dataset, but controller capabilities and language support can change by model, firmware, software edition, and license.

Verify Before You Start:

  • The selected controller supports the required Function Blocks constructs

  • The project version matches the installed INVT Workshop / AutoStudio release

  • Required communications, motion, safety, and simulation options are licensed

  • Firmware and device-description files are compatible with the project

  • The vendor manuals used for the design match the exact hardware revision


Application Planning:

For a Temperature Control exercise, map the required inputs and outputs before writing logic. The example considers 4 sensor types, including Thermocouples (K-type, J-type), RTD sensors (PT100, PT1000), Infrared temperature sensors, and 5 actuator types.

Control Equipment for Temperature Control:

  • Electric resistance heaters (cartridge, band, strip)

  • Steam injection systems

  • Thermal fluid (hot oil) systems

  • Refrigeration and chiller systems


Controller-family references used in this guide include:

  • IVC1: Confirm CPU, I/O, memory, communications, and Function Blocks support in the current selection guide

  • IVC2: Confirm CPU, I/O, memory, communications, and Function Blocks support in the current selection guide

  • IVC3: Confirm CPU, I/O, memory, communications, and Function Blocks support in the current selection guide

  • AX series: Confirm CPU, I/O, memory, communications, and Function Blocks support in the current selection guide


Hardware Selection Checklist:

  • Count local and remote I/O, including planned expansion

  • Measure the required task and communications update rates

  • Identify memory, data-retention, diagnostics, and cybersecurity requirements

  • Treat safety functions as a separate, standards-led design activity

  • Confirm lifecycle status, regional availability, licensing, and support


Source and Validation Note:

This page does not represent a vendor certification or a hardware acceptance test. Use current INVT manuals, release notes, and safety documentation as the authority for product-specific behavior. Validate adapted logic in a simulator or isolated test setup before connecting it to equipment.

Investment Considerations:

For Temperature Control projects, compare hardware, software licensing, training, engineering, test equipment, commissioning, spares, and ongoing support. Obtain current pricing and lifecycle information directly from the vendor or an authorized regional supplier.

Understanding Function Blocks for Temperature Control

Function Block Diagram (FBD) is a graphical programming language where functions and function blocks are represented as boxes connected by signal lines. Data flows from left to right through the network.

Execution Model:

Blocks execute based on data dependencies - a block executes only when all its inputs are available. Networks execute top to bottom when dependencies allow.

Core Advantages for Temperature Control:

  • Visual representation of signal flow: Critical for Temperature Control when handling intermediate control logic

  • Good for modular programming: Critical for Temperature Control when handling intermediate control logic

  • Reusable components: Critical for Temperature Control when handling intermediate control logic

  • Excellent for process control: Critical for Temperature Control when handling intermediate control logic

  • Good for continuous operations: Critical for Temperature Control when handling intermediate control logic


Why Function Blocks Fits Temperature Control:

Temperature Control systems in Process Control typically involve:

  • Sensors: RTDs (PT100/PT1000) for high-accuracy measurements, Thermocouples (J, K, T types) for high-temperature applications, Infrared pyrometers for non-contact measurement

  • Actuators: SCR (thyristor) power controllers for electric heaters, Solid-state relays for on/off heating control, Proportional control valves for steam or thermal fluid

  • Complexity: Intermediate with challenges including Long thermal time constants making tuning difficult


Control Strategies for Temperature Control:

  • pid: Standard PID control with proportional, integral, and derivative terms tuned for the thermal process dynamics

  • cascade: Master temperature loop outputs to slave heater/cooler control loop for tighter control

  • ratio: Maintain temperature ratio between zones for gradient applications


Programming Fundamentals in Function Blocks:

StandardBlocks:
- logic: AND, OR, XOR, NOT - Boolean logic operations
- comparison: EQ, NE, LT, GT, LE, GE - Compare values
- math: ADD, SUB, MUL, DIV, MOD - Arithmetic operations

TimersCounters:
- ton: Timer On-Delay - Output turns ON after preset time
- tof: Timer Off-Delay - Output turns OFF after preset time
- tp: Pulse Timer - Output pulses for preset time

Connections:
- wires: Connect output pins to input pins to pass data
- branches: One output can connect to multiple inputs
- feedback: Outputs can feed back to inputs for state machines

Best Practices for Function Blocks:

  • Arrange blocks for clear left-to-right data flow

  • Use consistent spacing and alignment for readability

  • Label all inputs and outputs with meaningful names

  • Create custom FBs for frequently repeated logic patterns

  • Minimize wire crossings by careful block placement


Common Mistakes to Avoid:

  • Creating feedback loops without proper initialization

  • Connecting incompatible data types

  • Not considering execution order dependencies

  • Overcrowding networks making them hard to read


Typical Applications:

1. HVAC control: Directly applicable to Temperature Control
2. Temperature control: Related control patterns
3. Flow control: Related control patterns
4. Batch processing: Related control patterns

Understanding these fundamentals prepares you to implement effective Function Blocks solutions for Temperature Control using INVT INVT Workshop / AutoStudio.

Implementing Temperature Control with Function Blocks

Industrial temperature control systems use PLCs to regulate process temperatures in manufacturing, food processing, chemical processing, and other applications. These systems maintain precise temperature setpoints through heating and cooling control while ensuring product quality and energy efficiency.

This walkthrough demonstrates practical implementation using INVT INVT Workshop / AutoStudio and Function Blocks programming.

System Requirements:

A typical Temperature Control implementation includes:

Input Devices (Sensors):
1. RTDs (PT100/PT1000) for high-accuracy measurements: Critical for monitoring system state
2. Thermocouples (J, K, T types) for high-temperature applications: Critical for monitoring system state
3. Infrared pyrometers for non-contact measurement: Critical for monitoring system state
4. Thermistors for fast response applications: Critical for monitoring system state
5. Thermal imaging cameras for surface temperature monitoring: Critical for monitoring system state

Output Devices (Actuators):
1. SCR (thyristor) power controllers for electric heaters: Primary control output
2. Solid-state relays for on/off heating control: Supporting control function
3. Proportional control valves for steam or thermal fluid: Supporting control function
4. Solenoid valves for cooling water or refrigerant: Supporting control function
5. Variable frequency drives for cooling fan control: Supporting control function

Control Equipment:

  • Electric resistance heaters (cartridge, band, strip)

  • Steam injection systems

  • Thermal fluid (hot oil) systems

  • Refrigeration and chiller systems


Control Strategies for Temperature Control:

  • pid: Standard PID control with proportional, integral, and derivative terms tuned for the thermal process dynamics

  • cascade: Master temperature loop outputs to slave heater/cooler control loop for tighter control

  • ratio: Maintain temperature ratio between zones for gradient applications


Implementation Steps:

Step 1: Characterize thermal system dynamics (time constants, dead time)

In INVT Workshop / AutoStudio, characterize thermal system dynamics (time constants, dead time).

Step 2: Select appropriate sensor type and placement for representative measurement

In INVT Workshop / AutoStudio, select appropriate sensor type and placement for representative measurement.

Step 3: Size heating and cooling capacity for worst-case load conditions

In INVT Workshop / AutoStudio, size heating and cooling capacity for worst-case load conditions.

Step 4: Implement PID control with appropriate sample time (typically 10x faster than process time constant)

In INVT Workshop / AutoStudio, implement pid control with appropriate sample time (typically 10x faster than process time constant).

Step 5: Add output limiting and anti-windup for safe operation

In INVT Workshop / AutoStudio, add output limiting and anti-windup for safe operation.

Step 6: Program ramp/soak profiles if required

In INVT Workshop / AutoStudio, program ramp/soak profiles if required.


INVT Function Design:

P-label subroutines plus a small library of INVT-supplied drive-control FBs that wrap the proprietary Modbus parameter map. Reuse beyond the supplied library is open-coded.

Common Challenges and Solutions:

1. Long thermal time constants making tuning difficult

  • Solution: Function Blocks addresses this through Visual representation of signal flow.


2. Transport delay (dead time) causing instability

  • Solution: Function Blocks addresses this through Good for modular programming.


3. Non-linear response at different temperature ranges

  • Solution: Function Blocks addresses this through Reusable components.


4. Sensor placement affecting measurement accuracy

  • Solution: Function Blocks addresses this through Excellent for process control.


Safety Considerations:

  • Independent high-limit safety thermostats (redundant to PLC)

  • Watchdog timers for heater control validity

  • Safe-state definition on controller failure (heaters off)

  • Thermal fuse backup for runaway conditions

  • Proper ventilation for combustible atmospheres


Performance Metrics:

  • Task and I/O timing: Record minimum, average, and maximum values under a defined test load

  • Accuracy: Define an acceptable tolerance and compare it with calibrated reference measurements

  • Throughput: Count completed cycles over a fixed interval and record rejected or incomplete cycles

  • Fault response: Measure detection, safe-state, alarm, and recovery behavior for each test case

  • Resource use: Record memory, communications load, and diagnostic-buffer behavior

INVT Diagnostic Tools:

Workshop online monitoring with rung-state highlighting,Combined PLC + drive scope / trace tool,Soft-element watch table,Drive-parameter live-monitor view,Modbus RTU / TCP communication analyzer,Built-in offline simulator,Distributor loaner CPU/drive pairs for triage,INVT community forum (Chinese-dominant) for protocol-specific issues

Use the monitoring and diagnostic functions available in your INVT Workshop / AutoStudio version, and record the software, firmware, hardware, workload, and test procedure with every result.

INVT Function Blocks Example for Temperature Control

Illustrative Function Blocks example for Temperature Control using INVT terminology. Adapt the syntax to your INVT Workshop / AutoStudio release, compile it, and verify it in an isolated test environment before use on equipment.

(* INVT INVT Workshop / AutoStudio - Temperature Control Control *)
(* Reusable Function Blocks Implementation *)
(* P-label subroutines plus a small library of INVT-supplied dr *)

FUNCTION_BLOCK FB_TEMPERATURE_CONTROL_Controller

VAR_INPUT
    bEnable : BOOL;                  (* Enable control *)
    bReset : BOOL;                   (* Fault reset *)
    rProcessValue : REAL;            (* RTDs (PT100/PT1000) for high-accuracy measurements *)
    rSetpoint : REAL := 100.0;  (* Illustrative value; replace with a reviewed requirement *)
    bEmergencyStop : BOOL;           (* Safety input *)
END_VAR

VAR_OUTPUT
    rControlOutput : REAL;           (* SCR (thyristor) power controllers for electric heaters *)
    bRunning : BOOL;                 (* Process active *)
    bComplete : BOOL;                (* Cycle complete *)
    bFault : BOOL;                   (* Fault status *)
    nFaultCode : INT;                (* Diagnostic code *)
END_VAR

VAR
    (* Internal Function Blocks *)
    fbSafety : FB_SafetyMonitor;     (* Safety logic *)
    fbRamp : FB_RampGenerator;       (* Soft start/stop *)
    fbPID : FB_PIDController;        (* Process control *)
    fbDiag : FB_Diagnostics;         (* M-flag banks plus drive-fault flags read via Modbus parameter mapping; combined alarm rollup to HMI tag. *)

    (* Internal State *)
    eInternalState : E_ControlState;
    tonWatchdog : TON;
END_VAR

(* Safety Monitor - Independent high-limit safety thermostats (redundant to PLC) *)
fbSafety(
    Enable := bEnable,
    EmergencyStop := bEmergencyStop,
    ProcessValue := rProcessValue,
    HighLimit := rSetpoint * 1.2,
    LowLimit := rSetpoint * 0.1
);

(* Main Control Logic *)
IF fbSafety.SafeToRun THEN
    (* Ramp Generator - Prevents startup surge *)
    fbRamp(
        Enable := bEnable,
        TargetValue := rSetpoint,
        RampRate := 20.0,  (* Illustrative value; tune and verify for the process *)
        CurrentValue => rSetpoint
    );

    (* PID Controller - [object Object] *)
    fbPID(
        Enable := fbRamp.InPosition,
        ProcessValue := rProcessValue,
        Setpoint := fbRamp.CurrentValue,
        Kp := 1.0,
        Ki := 0.1,
        Kd := 0.05,
        OutputMin := 0.0,
        OutputMax := 100.0
    );

    rControlOutput := fbPID.Output;
    bRunning := TRUE;
    bFault := FALSE;
    nFaultCode := 0;

ELSE
    (* Safe State - Watchdog timers for heater control validity *)
    rControlOutput := 0.0;
    bRunning := FALSE;
    bFault := NOT bEnable;  (* Only fault if not intentional stop *)
    nFaultCode := fbSafety.FaultCode;
END_IF;

(* Diagnostics - Offloaded to HMI / SCADA via Modbus; some scope traces savable from Workshop for one-off captures. *)
fbDiag(
    ProcessRunning := bRunning,
    FaultActive := bFault,
    ProcessValue := rProcessValue,
    ControlOutput := rControlOutput
);

(* Watchdog - Detects frozen control *)
tonWatchdog(IN := bRunning AND NOT fbPID.OutputChanging, PT := T#10S);
IF tonWatchdog.Q THEN
    bFault := TRUE;
    nFaultCode := 99;  (* Watchdog fault *)
END_IF;

(* Reset Logic *)
IF bReset AND NOT bEmergencyStop THEN
    bFault := FALSE;
    nFaultCode := 0;
    fbDiag.ClearAlarms();
END_IF;

END_FUNCTION_BLOCK

Code Explanation:

  • 1.Encapsulated function block follows P-label subroutines plus a small library - reusable across Process Control projects
  • 2.FB_SafetyMonitor illustrates status checks and high/low limits; it is not a certified safety function
  • 3.FB_RampGenerator prevents startup issues common in Temperature Control systems
  • 4.FB_PIDController tuned for Process Control: Kp=1.0, Ki=0.1
  • 5.Watchdog timer illustrates one way to flag an unchanged output for diagnosis
  • 6.Diagnostic function block enables Offloaded to HMI / SCADA via Modbus; some scope traces savable from Workshop for one-off captures. and M-flag banks plus drive-fault flags read via Modbus parameter mapping; combined alarm rollup to HMI tag.

Best Practices

  • Follow INVT naming conventions: Raw FX-style addressing dominates. Symbolic naming is supported but rarely used
  • INVT function design: P-label subroutines plus a small library of INVT-supplied drive-control FBs that
  • Data organization: No structured DB; D / HD register banks with engineer-documented range conventio
  • Function Blocks: Arrange blocks for clear left-to-right data flow
  • Function Blocks: Use consistent spacing and alignment for readability
  • Function Blocks: Label all inputs and outputs with meaningful names
  • Temperature Control: Sample at 1/10 of the process time constant minimum
  • Temperature Control: Use derivative on PV, not error, for temperature control
  • Temperature Control: Start with conservative tuning and tighten gradually
  • Debug with INVT Workshop / AutoStudio: Use the combined scope to confirm whether a fault is in PLC logic or i
  • Safety: Independent high-limit safety thermostats (redundant to PLC)
  • Use a compatible simulator or isolated test rig to test Temperature Control logic before deployment

Common Pitfalls to Avoid

  • Function Blocks: Creating feedback loops without proper initialization
  • Function Blocks: Connecting incompatible data types
  • Function Blocks: Not considering execution order dependencies
  • INVT common error: Drive-parameter mapping desync after firmware update on attached VFD
  • Temperature Control: Long thermal time constants making tuning difficult
  • Temperature Control: Transport delay (dead time) causing instability
  • Neglecting to validate RTDs (PT100/PT1000) for high-accuracy measurements leads to control errors
  • Insufficient comments make Function Blocks programs unmaintainable over time

Related Certifications

🏆INVT distributor training
🏆Drive-PLC integration certificates
🏆Advanced INVT Programming Certification

Applying Function Blocks to Temperature Control using INVT INVT Workshop / AutoStudio requires understanding the platform, the process, and the project's acceptance criteria. This guide has covered implementation structure, an illustrative code example, verification practices, and common pitfalls for a intermediate Temperature Control exercise.

Use the practices outlined here to create a design that can be reviewed and tested. Define performance targets in the project requirements and confirm them with repeatable measurements.

Next Steps:

1. Check Sources: Read the current INVT Workshop / AutoStudio help, controller manual, release notes, and relevant standards
2. Practice Safely: Adapt the example in a simulator or isolated training setup
3. Review: Have the I/O map, state behavior, faults, and recovery steps reviewed
4. Test: Record normal, boundary, fault, restart, and communications test results

Function Blocks Foundation:

Function Block Diagram (FBD) is a graphical programming language where functions and function blocks are represented as boxes connected by signal line...

Project duration depends on scope, reviews, hardware availability, software and firmware versions, testing, commissioning, and site constraints. Remember: Sample at 1/10 of the process time constant minimum

For further learning, explore related topics including Temperature control, Plastic molding machines, and INVT platform-specific features for Temperature Control optimization.