Help Needed! Simulating PID Controller in Simulink - Mark's Project

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SUMMARY

Mark is working on a temperature control project that requires simulating a PID controller using Simulink. He seeks guidance on creating an effective Simulink model and simulating the plant. A suggestion was made to consider implementing the PID controller in C for better familiarity, along with a provided pseudo-code for the PID algorithm. Key considerations include tuning the PID parameters (Kp, Ki, Kd) and incorporating hysteresis to prevent constant cycling in the temperature control system.

PREREQUISITES
  • Basic understanding of PID control theory
  • Familiarity with Simulink 2023a for modeling
  • Knowledge of temperature control systems
  • Experience with C programming for alternative implementation
NEXT STEPS
  • Research how to create a PID controller model in Simulink 2023a
  • Learn about tuning PID parameters using Ziegler-Nichols method
  • Explore Simulink's plant modeling techniques for temperature control
  • Investigate hysteresis implementation in control systems
USEFUL FOR

Students, engineers, and developers involved in control systems, particularly those focusing on temperature regulation and simulation using Simulink.

mark.strong
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Hello

I'm a student working on a project in temperature control. I have to investigate some of the properties of a standard PID controller. Sadly my project supervisor is not very helpful and I was hoping somebody here could offer me a litte guidance. I would like to simulate my controller in Simulink to see if my mesured results match up to what the simulation predicts. However my knowledge of Simulink is very basic and so I'm not making much progress. I had the following questions:

What are th basics that one needs to keep in mind to make a simulink model?
How can I make the best model in simulink?
How do I simulate the plant in simulink?

Any ideas/tips/suggestions would be greatly appreciated.

Thanks
Mark
 
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Recommend just writing it in C or something you're more familiar with. Here is your pseudo-code:

previous_error = 0
integral = 0

start:
error = setpoint - actual_position
integral = integral + (error*dt)
derivative = (error - previous_error)/dt
output = (Kp*error) + (Ki*integral) + (Kd*derivative)
previous_error = error
wait(dt)
goto start

You can play with Kp, Ki, and Kd to tune the system for good response. Remember, if you are simulating a temperature control system, you won't want it constantly cycling, so you will also want hysteresis in your system (i.e. leave it on too long, and leave it off for too long so that you don't break the darn thing).
 

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