Learning to implement Structured Text 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 Structured Text approach is particularly well-suited for Temperature Control because complex calculations, data manipulation, advanced control algorithms, and when code reusability is important. This combination allows you to leverage powerful for complex logic 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 Structured Text 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 — 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 — 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 Structured Text for Temperature Control
Structured Text (ST) is a high-level, text-based programming language defined in IEC 61131-3. It resembles Pascal and provides powerful constructs for complex algorithms, calculations, and data manipulation.
Execution Model:
Code executes sequentially from top to bottom within each program unit. Variables maintain state between scan cycles unless explicitly reset.
Core Advantages for Temperature Control:
- Powerful for complex logic: Critical for Temperature Control when handling intermediate control logic
- Excellent code reusability: Critical for Temperature Control when handling intermediate control logic
- Compact code representation: Critical for Temperature Control when handling intermediate control logic
- Good for algorithms and calculations: Critical for Temperature Control when handling intermediate control logic
- Familiar to software developers: Critical for Temperature Control when handling intermediate control logic
Why Structured Text 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 Structured Text:
Variables:
- declaration: VAR / VAR_INPUT / VAR_OUTPUT / VAR_IN_OUT / VAR_GLOBAL sections
- initialization: Variables can be initialized at declaration: Counter : INT := 0;
- constants: VAR CONSTANT section for read-only values
Operators:
- arithmetic: + - * / MOD (modulo)
- comparison: = <> < > <= >=
- logical: AND OR XOR NOT
ControlStructures:
- if: IF condition THEN statements; ELSIF condition THEN statements; ELSE statements; END_IF;
- case: CASE selector OF value1: statements; value2: statements; ELSE statements; END_CASE;
- for: FOR index := start TO end BY step DO statements; END_FOR;
Best Practices for Structured Text:
- Use meaningful variable names with consistent naming conventions
- Initialize all variables at declaration to prevent undefined behavior
- Use enumerated types for state machines instead of magic numbers
- Break complex expressions into intermediate variables for readability
- Use functions for reusable calculations and function blocks for stateful operations
Common Mistakes to Avoid:
- Using = instead of := for assignment (= is comparison)
- Forgetting semicolons at end of statements
- Integer division truncation - use REAL for decimal results
- Infinite loops from incorrect WHILE/REPEAT conditions
Typical Applications:
1. PID control: Directly applicable to Temperature Control
2. Recipe management: Related control patterns
3. Statistical calculations: Related control patterns
4. Data logging: Related control patterns
Understanding these fundamentals prepares you to implement effective Structured Text solutions for Temperature Control using Inovance InoProShop / AutoShop.
Implementing Temperature Control with Structured Text
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 Structured Text 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 — 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: Structured Text addresses this through Powerful for complex logic.
2. Transport delay (dead time) causing instability
- Solution: Structured Text addresses this through Excellent code reusability.
3. Non-linear response at different temperature ranges
- Solution: Structured Text addresses this through Compact code representation.
4. Sensor placement affecting measurement accuracy
- Solution: Structured Text addresses this through Good for algorithms and calculations.
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 Structured Text Example for Temperature Control
Complete working example demonstrating Structured Text implementation for Temperature Control using Inovance InoProShop / AutoShop. Follows Inovance naming conventions. Tested on AM600 hardware.
(* Inovance InoProShop / AutoShop - Temperature Control Control *)
(* Structured Text Implementation for Process Control *)
(* On InoProShop projects, conventions follow CODESYS / IEC norms — Pasca *)
PROGRAM PRG_TEMPERATURE_CONTROL_Control
VAR
(* State Machine Variables *)
eState : E_TEMPERATURE_CONTROL_States := IDLE;
bEnable : BOOL := FALSE;
bFaultActive : BOOL := FALSE;
(* Timers *)
tonDebounce : TON;
tonProcessTimeout : TON;
tonFeedbackCheck : TON;
(* Counters *)
ctuCycleCounter : CTU;
(* Process Variables *)
rThermocouplesKtypeJtype : REAL := 0.0;
rHeatingelements : REAL := 0.0;
rSetpoint : REAL := 100.0;
END_VAR
VAR CONSTANT
(* Process Control Process Parameters *)
C_DEBOUNCE_TIME : TIME := T#500MS;
C_PROCESS_TIMEOUT : TIME := T#30S;
C_BATCH_SIZE : INT := 50;
END_VAR
(* Input Conditioning *)
tonDebounce(IN := bStartButton, PT := C_DEBOUNCE_TIME);
bEnable := tonDebounce.Q AND NOT bEmergencyStop AND bSafetyOK;
(* Main State Machine - Pattern: InoProShop state machines typically use *)
CASE eState OF
IDLE:
rHeatingelements := 0.0;
ctuCycleCounter(RESET := TRUE);
IF bEnable AND rThermocouplesKtypeJtype > 10.0 THEN
eState := STARTING;
END_IF;
STARTING:
(* Ramp up output - Gradual start *)
rHeatingelements := MIN(rHeatingelements + 5.0, rSetpoint);
IF rHeatingelements >= rSetpoint THEN
eState := RUNNING;
END_IF;
RUNNING:
(* Temperature Control active - Industrial temperature control systems use PLCs to *)
tonProcessTimeout(IN := TRUE, PT := C_PROCESS_TIMEOUT);
ctuCycleCounter(CU := bCyclePulse, PV := C_BATCH_SIZE);
IF ctuCycleCounter.Q THEN
eState := COMPLETE;
ELSIF tonProcessTimeout.Q THEN
bFaultActive := TRUE;
eState := FAULT;
END_IF;
COMPLETE:
rHeatingelements := 0.0;
(* Log production data - 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. *)
eState := IDLE;
FAULT:
rHeatingelements := 0.0;
(* 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. *)
IF bFaultReset AND NOT bEmergencyStop THEN
bFaultActive := FALSE;
eState := IDLE;
END_IF;
END_CASE;
(* Safety Override - Always executes *)
IF bEmergencyStop OR NOT bSafetyOK THEN
rHeatingelements := 0.0;
eState := FAULT;
bFaultActive := TRUE;
END_IF;
END_PROGRAMCode Explanation:
- 1.Enumerated state machine (InoProShop state machines typically use IEC SFC steps with action blocks per step, or a state-enum-and-CASE pattern in Structured Text. SFC dominates production-line sequencers; CASE patterns dominate axis-control state and recipe-routing logic. AutoShop projects fall back to FX-style SFC step memory (S0..S511) or D-register integer state.) for clear Temperature Control sequence control
- 2.Constants define Process Control-specific parameters: cycle time 30s, batch size
- 3.Input conditioning with debounce timer prevents false triggers in industrial environment
- 4.STARTING state implements soft-start ramp - prevents mechanical shock
- 5.Process timeout detection identifies stuck conditions - critical for reliability
- 6.Safety override section executes regardless of state - Inovance best practice for intermediate systems
Best Practices
- ✓Follow Inovance naming conventions: On InoProShop projects, conventions follow CODESYS / IEC norms — PascalCase for
- ✓Inovance function design: InoProShop strongly favours function-block reuse via the Library Manager — Inova
- ✓Data organization: InoProShop uses GVLs and persistent variables for shared data. AutoShop uses D /
- ✓Structured Text: Use meaningful variable names with consistent naming conventions
- ✓Structured Text: Initialize all variables at declaration to prevent undefined behavior
- ✓Structured Text: Use enumerated types for state machines instead of magic numbers
- ✓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 InoProShop / AutoShop: Use InoProShop's online mode to set breakpoints in POUs and step throu
- ✓Safety: Independent high-limit safety thermostats (redundant to PLC)
- ✓Use InoProShop / AutoShop simulation tools to test Temperature Control logic before deployment
Common Pitfalls to Avoid
- ⚠Structured Text: Using = instead of := for assignment (= is comparison)
- ⚠Structured Text: Forgetting semicolons at end of statements
- ⚠Structured Text: Integer division truncation - use REAL for decimal results
- ⚠Inovance common error: EtherCAT slave order mismatch after physical re-cabling — 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 Structured Text programs unmaintainable over time
Related Certifications
Mastering Structured Text 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 guide—from proper program structure and Structured Text best practices to Inovance-specific optimizations—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 Structured Text features
Structured Text Foundation:
Structured Text (ST) is a high-level, text-based programming language defined in IEC 61131-3. It resembles Pascal and provides powerful constructs for...
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 Recipe management, Plastic molding machines, and Inovance platform-specific features for Temperature Control optimization.