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PI/PID controller design based on IMC and percentage overshoot specification to controller setpoint change
1Department of Electronics and Communication Engineering, Indian Institute of Technology Guwahati, Guwahati-781039, Assam, India. ahmadali@iitg.ernet.in
This study designs controllers for stable processes by linking Internal Model Control (IMC) filter tuning to desired overshoot. This simplifies PI/PID controller design using a user-defined percentage overshoot.
Area of Science:
- Chemical Engineering
- Control Systems Engineering
- Process Control
Background:
- Process models with stable first and second-order plus time delay dynamics are common in industrial applications.
- Controller tuning often involves balancing performance metrics like overshoot and robustness.
- Internal Model Control (IMC) offers a systematic approach to controller design.
Purpose of the Study:
- To design a normalized Internal Model Control (IMC) filter time constant for specific maximum sensitivity values.
- To establish an empirical relationship between the normalized IMC filter time constant and percentage overshoot.
- To simplify PI/PID controller design by requiring only a user-defined overshoot.
Main Methods:
- Designing the normalized IMC filter time constant to meet a target maximum sensitivity.
- Developing an empirical correlation between the normalized IMC filter time constant and percentage overshoot.
- Utilizing simulation examples to validate the proposed controller design method.
Main Results:
- A method is presented to determine the normalized IMC filter time constant based on a desired maximum sensitivity.
- An empirical relationship is established linking the normalized IMC filter time constant to percentage overshoot.
- The proposed method allows for PI/PID controller design based solely on a user-specified overshoot.
Conclusions:
- The proposed method provides a straightforward approach for tuning PI/PID controllers for stable first and second-order plus time delay processes.
- Controller design is simplified by directly using a desired percentage overshoot as input.
- Simulation results demonstrate the effectiveness of the proposed tuning strategy.
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