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Intermediate15 min readProcess Control

Inovance Function Blocks for Temperature Control

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

πŸ’»
Platform
InoProShop / AutoShop
πŸ“Š
Complexity
Intermediate
⏱️
Project Duration
2-3 weeks

Learning to implement Function Blocks for Temperature Control using Inovance's InoProShop / AutoShop is an essential skill for PLC programmers working in Process Control. This comprehensive guide walks you through the fundamentals, providing clear explanations and practical examples that you can apply immediately to real-world projects.

Inovance has established itself as High in China across textiles, packaging, lithium battery, EV manufacturing, elevators, robotics; growing in SE Asia and MEA, making it a strategic choice for Temperature Control applications. With ~2% global, top-3 in China global market share and 7 popular PLC families including the AM600 and AM610, Inovance provides the robust platform needed for intermediate complexity projects like Temperature Control.

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 discover step-by-step implementation strategies, working code examples tested on InoProShop / AutoShop, and industry best practices specific to Process Control. Whether you're programming your first Temperature Control system or transitioning from another PLC platform, this guide provides the practical knowledge you need to succeed with Inovance Function Blocks programming.

Inovance InoProShop / AutoShop for Temperature Control

Inovance ships InoProShop as its primary programming IDE for the AM600 / AM610 / H5U medium-PLC families and AutoShop for the Easy-series compact PLCs. InoProShop is built on the CODESYS 3.5 platform, which means engineers transferring from Beckhoff TwinCAT, WAGO e!Cockpit, or Schneider EcoStruxure Machine Expert will recognise the project tree, IEC 61131-3 editors, and visualisation tools immediately. AutoShop is a more traditional ladder-and-IL editor closer to compact-PLC tradition. Inovance'...

Platform Strengths for Temperature Control:

  • CODESYS-based InoProShop for IEC 61131-3 compliance

  • Tight integration with Inovance servo drives and inverters

  • Strong motion, robotics, and elevator-control product lines

  • EtherCAT support across mid-tier and high-end CPUs


Unique ${brand.software} Features:

  • InoProShop built on CODESYS 3.5 β€” full IEC 61131-3 compliance

  • Native EtherCAT motion across mid-tier and high-end CPUs

  • Tight integration with Inovance servo drives, inverters, and HMIs

  • AutoShop for compact AC800 / Easy-series CPUs (lighter IDE)


Key Capabilities:

The InoProShop / AutoShop environment excels at Temperature Control applications through its codesys-based inoproshop for iec 61131-3 compliance. This is particularly valuable when working with the 4 sensor types typically found in Temperature Control systems, including Thermocouples (K-type, J-type), RTD sensors (PT100, PT1000), Infrared temperature sensors.

Control Equipment for Temperature Control:

  • Electric resistance heaters (cartridge, band, strip)

  • Steam injection systems

  • Thermal fluid (hot oil) systems

  • Refrigeration and chiller systems


Inovance's controller families for Temperature Control include:

  • AM600: Suitable for intermediate Temperature Control applications

  • AM610: Suitable for intermediate Temperature Control applications

  • H5U: Suitable for intermediate Temperature Control applications

  • AC800: Suitable for intermediate Temperature Control applications

Hardware Selection Guidance:

Inovance CPU choice ranges from Easy320 / Easy510 (compact, AutoShop-programmed, FX-style memory model) through AC800 (mid-range compact) to AM600 / AM610 / H5U (medium PLC with EtherCAT, OPC UA, redundant networking on H5U). AM600 is the volume product for OEM machinery; H5U is the choice for higher-axis-count motion applications and lithium-battery / EV manufacturing lines where EtherCAT and tig...

Industry Recognition:

High in China across textiles, packaging, lithium battery, EV manufacturing, elevators, robotics; growing in SE Asia and MEA. High in Chinese EV manufacturing β€” Inovance is a major automation supplier to BYD, NIO, and Tier 2/3 EV-component plants. AM600 + H5U with EtherCAT motion controls battery-cell assembly, module welding, pack assembly, and end-of-line test stations. Less common in Western Tier 1 automotive but appear...

Investment Considerations:

With $$ pricing, Inovance positions itself in the mid-range segment. For Temperature Control projects requiring intermediate skill levels and 2-3 weeks development time, the total investment includes hardware, software licensing, training, and ongoing support.

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 Inovance InoProShop / AutoShop.

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 Inovance InoProShop / AutoShop 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 InoProShop / AutoShop, characterize thermal system dynamics (time constants, dead time).

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

In InoProShop / AutoShop, select appropriate sensor type and placement for representative measurement.

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

In InoProShop / AutoShop, 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 InoProShop / AutoShop, 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 InoProShop / AutoShop, add output limiting and anti-windup for safe operation.

Step 6: Program ramp/soak profiles if required

In InoProShop / AutoShop, program ramp/soak profiles if required.


Inovance Function Design:

InoProShop strongly favours function-block reuse via the Library Manager β€” Inovance ships standard libraries for motion, drives, HMI, OPC UA, and industry-specific applications (lithium-battery, EV, elevator). AutoShop reuse is open-coded via P-label subroutines. OEM machine-builders increasingly default to InoProShop / AM600 to access the FB libraries.

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:

  • Scan Time: Optimize for 4 inputs and 5 outputs

  • Memory Usage: Efficient data structures for AM600 capabilities

  • Response Time: Meeting Process Control requirements for Temperature Control

Inovance Diagnostic Tools:

InoProShop online mode with full POU monitoring and breakpoint debug,EtherCAT diagnostics page with topology and slave status,Trace tool for analogue / motion signal capture,OPC UA server diagnostics page,Modbus communication trace utility,AutoShop online mode for legacy AC800 / Easy series,Inovance HMI integrated diagnostics for HMI-PLC binding faults,Servo-drive panel diagnostics with InoProShop drive-monitor view,EtherCAT slave-firmware update tool,Project compare tool for change tracking

Inovance's InoProShop / AutoShop provides tools for performance monitoring and optimization, essential for achieving the 2-3 weeks development timeline while maintaining code quality.

Inovance Function Blocks Example for Temperature Control

Complete working example demonstrating Function Blocks implementation for Temperature Control using Inovance InoProShop / AutoShop. Follows Inovance naming conventions. Tested on AM600 hardware.

(* Inovance InoProShop / AutoShop - Temperature Control Control *)
(* Reusable Function Blocks Implementation *)
(* InoProShop strongly favours function-block reuse via the Lib *)

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;  (* Target value *)
    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;         (* InoProShop alarms are typically defined in the visualisation alarm-configuration page with severity, latching, and acknowledgement behaviour configured per alarm. The runtime maintains active and historical alarm lists. AutoShop projects fall back to M-flag banks with HMI-side alarm logging. *)

    (* 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,  (* Process Control rate *)
        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 - InoProShop on AM600 / H5U supports SD-card logging via library FBs, plus OPC UA streaming for cloud / on-premises historians. Inovance HMIs add CSV logging at HMI tier. AutoShop projects rely on HMI-tier logging exclusively. *)
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 InoProShop strongly favours function-blo - reusable across Process Control projects
  • 2.FB_SafetyMonitor provides Independent high-limit safety thermostats (redundant to PLC) including high/low limits
  • 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 detects frozen control - critical for intermediate Temperature Control reliability
  • 6.Diagnostic function block enables InoProShop on AM600 / H5U supports SD-card logging via library FBs, plus OPC UA streaming for cloud / on-premises historians. Inovance HMIs add CSV logging at HMI tier. AutoShop projects rely on HMI-tier logging exclusively. and InoProShop alarms are typically defined in the visualisation alarm-configuration page with severity, latching, and acknowledgement behaviour configured per alarm. The runtime maintains active and historical alarm lists. AutoShop projects fall back to M-flag banks with HMI-side alarm logging.

Best Practices

  • βœ“Follow Inovance naming conventions: On InoProShop projects, conventions follow CODESYS / IEC norms β€” PascalCase for
  • βœ“Inovance function design: InoProShop strongly favours function-block reuse via the Library Manager β€” Inova
  • βœ“Data organization: InoProShop uses GVLs and persistent variables for shared data. AutoShop uses D /
  • βœ“Function Blocks: Arrange blocks for clear left-to-right data flow
  • βœ“Function Blocks: Use consistent spacing and alignment for readability
  • βœ“Function Blocks: Label all inputs and outputs with meaningful names
  • βœ“Temperature Control: Sample at 1/10 of the process time constant minimum
  • βœ“Temperature Control: Use derivative on PV, not error, for temperature control
  • βœ“Temperature Control: Start with conservative tuning and tighten gradually
  • βœ“Debug with InoProShop / AutoShop: Use InoProShop's online mode to set breakpoints in POUs and step throu
  • βœ“Safety: Independent high-limit safety thermostats (redundant to PLC)
  • βœ“Use InoProShop / AutoShop simulation tools 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
  • ⚠Inovance common error: EtherCAT slave order mismatch after physical re-cabling β€” slave addressing break
  • ⚠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

πŸ†Inovance Certified Engineer
πŸ†InoProShop / AutoShop training certificates
πŸ†EV / Lithium Battery automation specialist tracks
πŸ†Advanced Inovance Programming Certification

Mastering Function Blocks for Temperature Control applications using Inovance InoProShop / AutoShop requires understanding both the platform's capabilities and the specific demands of Process Control. This guide has provided comprehensive coverage of implementation strategies, working code examples, best practices, and common pitfalls to help you succeed with intermediate Temperature Control projects.

Inovance's ~2% global, top-3 in China market share and high in china across textiles, packaging, lithium battery, ev manufacturing, elevators, robotics; growing in se asia and mea demonstrate the platform's capability for demanding applications. The platform excels in Process Control applications where Temperature Control reliability is critical.

By following the practices outlined in this guideβ€”from proper program structure and Function Blocks best practices to Inovance-specific optimizationsβ€”you can deliver reliable Temperature Control systems that meet Process Control requirements.

Next Steps for Professional Development:

1. Certification: Pursue Inovance Certified Engineer to validate your Inovance expertise
2. Advanced Training: Consider InoProShop / AutoShop training certificates for specialized Process Control applications
3. Hands-on Practice: Build Temperature Control projects using AM600 hardware
4. Stay Current: Follow InoProShop / AutoShop updates and new Function Blocks features

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...

The 2-3 weeks typical timeline for Temperature Control projects will decrease as you gain experience with these patterns and techniques. Remember: Sample at 1/10 of the process time constant minimum

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