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Intermediate15 min readProcess Control

Red Lion Controls Sequential Function Charts (SFC) for Temperature Control

Learn Sequential Function Charts (SFC) programming for Temperature Control using Red Lion Controls Crimson 3.2. Includes code examples, best practices, and step-by-step implementation guide for Process Control applications.

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Platform
Crimson 3.2
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Complexity
Intermediate
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Project Duration
2-3 weeks

Mastering advanced Sequential Function Charts (SFC) techniques for Temperature Control in Red Lion Controls's Crimson 3.2 unlocks capabilities beyond basic implementations. This guide explores sophisticated programming patterns, optimization strategies, and advanced features that separate expert Red Lion Controls programmers from intermediate practitioners in Process Control applications.

Red Lion Controls's Crimson 3.2 contains powerful advanced features that many programmers never fully utilize. With 1% market share and deployment in demanding applications like industrial ovens and plastic molding machines, Red Lion Controls has developed advanced capabilities specifically for intermediate projects requiring perfect for sequential processes and clear visualization of process flow.

Advanced Temperature Control implementations leverage sophisticated techniques including multi-sensor fusion algorithms, coordinated multi-actuator control, and intelligent handling of pid tuning. When implemented using Sequential Function Charts (SFC), these capabilities are achieved through batch processes patterns that exploit Red Lion Controls-specific optimizations.

This guide reveals advanced programming techniques used by expert Red Lion Controls programmers, including custom function blocks, optimized data structures, advanced Sequential Function Charts (SFC) patterns, and Crimson 3.2-specific features that deliver superior performance. You'll learn implementation strategies that go beyond standard documentation, based on years of practical experience with Temperature Control systems in production Process Control environments.

Red Lion Controls Crimson 3.2 for Temperature Control

Crimson 3.2 is Red Lion's free Windows-based IDE covering HMI design, PLC logic (where applicable), protocol conversion, data logging, and edge gateway configuration in a single environment. The FlexEdge DA series extends the traditional HMI-centric product into combined PLC + HMI + protocol-gateway devices, adding IEC 61131-3 ladder and structured text to Crimson's already-rich HMI feature set. Red Lion's historical strength is protocol conversion — Modbus, Allen-Bradley, Siemens, Omron, Mitsub...

Platform Strengths for Temperature Control:

  • Free Crimson 3.2 IDE with integrated PLC + HMI design

  • FlexEdge DA combines protocol conversion, HMI, and PLC

  • Broad protocol library (Modbus, Allen-Bradley, Siemens, Omron)

  • Rugged hardware for industrial and outdoor use


Unique ${brand.software} Features:

  • Free Crimson 3.2 IDE with HMI, PLC, and protocol gateway design

  • FlexEdge DA series combines PLC + HMI + protocol conversion

  • Built-in drivers for 300+ industrial protocols

  • Strong US panel-builder and OEM machine-builder community


Key Capabilities:

The Crimson 3.2 environment excels at Temperature Control applications through its free crimson 3.2 ide with integrated plc + hmi design. 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


Red Lion Controls's controller families for Temperature Control include:

  • FlexEdge DA10D: Suitable for intermediate Temperature Control applications

  • FlexEdge DA30D: Suitable for intermediate Temperature Control applications

  • FlexEdge DA50D: Suitable for intermediate Temperature Control applications

  • Graphite HMI: Suitable for intermediate Temperature Control applications

Hardware Selection Guidance:

Red Lion controller selection spans FlexEdge DA10D (compact form factor, entry-level combined HMI/PLC/gateway), DA30D (mid-range), DA50D (flagship with expanded I/O and networking), Graphite HMI series (pure HMI, pairs with third-party PLCs via protocol conversion), and CR3000 series (dedicated HMI with extensive protocol drivers). Selection depends on required protocol breadth, I/O count, screen ...

Industry Recognition:

Niche - Panel builders, OEM machines, remote monitoring, rail and transport. Red Lion's presence in automotive is primarily in the HMI and protocol-converter functions rather than core PLC control. Red Lion Graphite and FlexEdge panels are common in test cells, specialty tooling, and aftermarket fixtures where multi-protocol translation (Modbus, AB, Siemens, Omron) connects ...

Investment Considerations:

With $$ pricing, Red Lion Controls 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 Sequential Function Charts (SFC) for Temperature Control

Sequential Function Chart (SFC) is a graphical language for programming sequential processes. It models systems as a series of steps connected by transitions, ideal for batch processes and machine sequences.

Execution Model:

Only active steps execute their actions. Transitions define conditions for moving between steps. Multiple steps can be active simultaneously in parallel branches.

Core Advantages for Temperature Control:

  • Perfect for sequential processes: Critical for Temperature Control when handling intermediate control logic

  • Clear visualization of process flow: Critical for Temperature Control when handling intermediate control logic

  • Easy to understand process steps: Critical for Temperature Control when handling intermediate control logic

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

  • Simplifies complex sequences: Critical for Temperature Control when handling intermediate control logic


Why Sequential Function Charts (SFC) 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 Sequential Function Charts (SFC):

Steps:
- initialStep: Double-bordered box - starting point of sequence, active on program start
- normalStep: Single-bordered box - becomes active when preceding transition fires
- actions: Associated code that executes while step is active

Transitions:
- condition: Boolean expression that must be TRUE to advance
- firing: Transition fires when preceding step is active AND condition is TRUE
- priority: In selective branches, transitions are evaluated in defined order

ActionQualifiers:
- N: Non-stored - executes while step is active
- S: Set - sets output TRUE on step entry, remains TRUE
- R: Reset - sets output FALSE on step entry

Best Practices for Sequential Function Charts (SFC):

  • Start with a clear process flow diagram before implementing SFC

  • Use descriptive step names indicating what happens (e.g., Filling, Heating)

  • Keep transition conditions simple - complex logic goes in action code

  • Implement timeout transitions to prevent stuck sequences

  • Always provide a path back to initial step for reset/restart


Common Mistakes to Avoid:

  • Forgetting to include stop/abort transitions for emergency handling

  • Creating deadlocks where no transition can fire

  • Not handling the case where transition conditions never become TRUE

  • Using S (Set) actions without corresponding R (Reset) actions


Typical Applications:

1. Bottle filling: Directly applicable to Temperature Control
2. Assembly sequences: Related control patterns
3. Material handling: Related control patterns
4. Batch mixing: Related control patterns

Understanding these fundamentals prepares you to implement effective Sequential Function Charts (SFC) solutions for Temperature Control using Red Lion Controls Crimson 3.2.

Implementing Temperature Control with Sequential Function Charts (SFC)

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 Red Lion Controls Crimson 3.2 and Sequential Function Charts (SFC) 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 Crimson 3.2, characterize thermal system dynamics (time constants, dead time).

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

In Crimson 3.2, select appropriate sensor type and placement for representative measurement.

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

In Crimson 3.2, 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 Crimson 3.2, 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 Crimson 3.2, add output limiting and anti-windup for safe operation.

Step 6: Program ramp/soak profiles if required

In Crimson 3.2, program ramp/soak profiles if required.


Red Lion Controls Function Design:

Crimson projects use reusable 'programs' (Crimson's unit of logic code) with parameters. Library management is more basic than in mainstream IEC ecosystems; OEMs typically maintain private project templates and copy-adapt rather than importing shared libraries. FlexEdge DA's IEC PLC portion follows standard IEC 61131-3 function-block reuse patterns.

Common Challenges and Solutions:

1. Long thermal time constants making tuning difficult

  • Solution: Sequential Function Charts (SFC) addresses this through Perfect for sequential processes.


2. Transport delay (dead time) causing instability

  • Solution: Sequential Function Charts (SFC) addresses this through Clear visualization of process flow.


3. Non-linear response at different temperature ranges

  • Solution: Sequential Function Charts (SFC) addresses this through Easy to understand process steps.


4. Sensor placement affecting measurement accuracy

  • Solution: Sequential Function Charts (SFC) addresses this through Good for batch operations.


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 FlexEdge DA10D capabilities

  • Response Time: Meeting Process Control requirements for Temperature Control

Red Lion Controls Diagnostic Tools:

Crimson 3.2 integrated debugger with tag monitoring and simulation mode,Built-in data-logging diagnostics with local and network-export options,Integrated communication analyzer for every supported driver (300+ protocols),FlexEdge webserver for remote HMI mirroring and device-level diagnostics,Visual logic debugger for Crimson logic (event-driven rather than scan-based),Real-time tag watch with filtering and grouping,Database import/export for tag-database migration and diffing,N-Tron managed switch diagnostics integrated with FlexEdge ecosystem,Red Lion US-based technical support,Crimson help system with protocol-specific driver documentation inline

Red Lion Controls's Crimson 3.2 provides tools for performance monitoring and optimization, essential for achieving the 2-3 weeks development timeline while maintaining code quality.

Red Lion Controls Sequential Function Charts (SFC) Example for Temperature Control

Complete working example demonstrating Sequential Function Charts (SFC) implementation for Temperature Control using Red Lion Controls Crimson 3.2. Follows Red Lion Controls naming conventions. Tested on FlexEdge DA10D hardware.

// Red Lion Controls Crimson 3.2 - Temperature Control Control
// Sequential Function Charts (SFC) Implementation for Process Control
// Red Lion projects use Crimson's tag database with typed tags

// ============================================
// Variable Declarations
// ============================================
VAR
    bEnable : BOOL := FALSE;
    bEmergencyStop : BOOL := FALSE;
    rThermocouplesKtypeJtype : REAL;
    rHeatingelements : REAL;
END_VAR

// ============================================
// Input Conditioning - RTDs (PT100/PT1000) for high-accuracy measurements
// ============================================
// Standard input processing
IF rThermocouplesKtypeJtype > 0.0 THEN
    bEnable := TRUE;
END_IF;

// ============================================
// Safety Interlock - Independent high-limit safety thermostats (redundant to PLC)
// ============================================
IF bEmergencyStop THEN
    rHeatingelements := 0.0;
    bEnable := FALSE;
END_IF;

// ============================================
// Main Temperature Control Control Logic
// ============================================
IF bEnable AND NOT bEmergencyStop THEN
    // Industrial temperature control systems use PLCs to regulate 
    rHeatingelements := rThermocouplesKtypeJtype * 1.0;

    // Process monitoring
    // Add specific control logic here
ELSE
    rHeatingelements := 0.0;
END_IF;

Code Explanation:

  • 1.Sequential Function Charts (SFC) structure optimized for Temperature Control in Process Control applications
  • 2.Input conditioning handles RTDs (PT100/PT1000) for high-accuracy measurements signals
  • 3.Safety interlock ensures Independent high-limit safety thermostats (redundant to PLC) always takes priority
  • 4.Main control implements Industrial temperature control systems u
  • 5.Code runs every scan cycle on FlexEdge DA10D (typically 5-20ms)

Best Practices

  • Follow Red Lion Controls naming conventions: Red Lion projects use Crimson's tag database with typed tags and descriptive nam
  • Red Lion Controls function design: Crimson projects use reusable 'programs' (Crimson's unit of logic code) with par
  • Data organization: Crimson tag databases hold typed tags with scope (Global, Alarm, Report, etc.) a
  • Sequential Function Charts (SFC): Start with a clear process flow diagram before implementing SFC
  • Sequential Function Charts (SFC): Use descriptive step names indicating what happens (e.g., Filling, Heating)
  • Sequential Function Charts (SFC): Keep transition conditions simple - complex logic goes in action code
  • 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 Crimson 3.2: Use Crimson 3.2's simulation mode to test HMI and logic before deployi
  • Safety: Independent high-limit safety thermostats (redundant to PLC)
  • Use Crimson 3.2 simulation tools to test Temperature Control logic before deployment

Common Pitfalls to Avoid

  • Sequential Function Charts (SFC): Forgetting to include stop/abort transitions for emergency handling
  • Sequential Function Charts (SFC): Creating deadlocks where no transition can fire
  • Sequential Function Charts (SFC): Not handling the case where transition conditions never become TRUE
  • Red Lion Controls common error: Crimson version-to-firmware compatibility issues after hardware firmware upgrade
  • 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 Sequential Function Charts (SFC) programs unmaintainable over time

Related Certifications

🏆Red Lion Crimson Certified Engineer
🏆Red Lion Specialist Training

Mastering Sequential Function Charts (SFC) for Temperature Control applications using Red Lion Controls Crimson 3.2 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.

Red Lion Controls's 1% market share and niche - panel builders, oem machines, remote monitoring, rail and transport 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 Sequential Function Charts (SFC) best practices to Red Lion Controls-specific optimizations—you can deliver reliable Temperature Control systems that meet Process Control requirements.

Next Steps for Professional Development:

1. Certification: Pursue Red Lion Crimson Certified Engineer to validate your Red Lion Controls expertise
2. Advanced Training: Consider Red Lion Specialist Training for specialized Process Control applications
3. Hands-on Practice: Build Temperature Control projects using FlexEdge DA10D hardware
4. Stay Current: Follow Crimson 3.2 updates and new Sequential Function Charts (SFC) features

Sequential Function Charts (SFC) Foundation:

Sequential Function Chart (SFC) is a graphical language for programming sequential processes. It models systems as a series of steps connected by tran...

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 Assembly sequences, Plastic molding machines, and Red Lion Controls platform-specific features for Temperature Control optimization.