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PID tuning is the process of finding the values of proportional, integral, and derivative gains of a PID controller to achieve desired performance and meet design requirements.

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PID controller tuning appears easy, but finding the set of gains that ensures the best performance of your control system is a complex task. Traditionally, PID controllers are tuned either manually or using rule-based methods. Manual tuning methods are iterative and time-consuming, and if used on hardware, they can cause damage. Rule-based methods also have serious limitations: they do not support certain types of plant models, such as unstable plants, high-order plants, or plants with little or no time delay.

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You can automatically tune PID controllers to achieve the optimal system design and to meet design requirements, even for plant models that traditional rule-based methods cannot handle well.

For more information, see Control System Toolbox™ for use with MATLAB^® and Simulink^®.

An automated PID tuning workflow involves:

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• Identifying plant model from input-output test data
• Modeling PID controllers in MATLAB using PID objects or in Simulink using PID Controller blocks
• Automatically tuning PID controller gains and fine-tuning your design interactively
• Tuning multiple controllers in batch mode
• Tuning single-input single-output PID controllers as well as multiloop PID controller architectures