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Fractional order automatic tuning of PIλD controller for stable processes
Rishika Trivedi1, Prabin Kumar Padhy1
1Department of Electronics & Communication Engineering, PDPM, IIITDM, Jabalpur, Madhya Pradesh, India.
This study introduces a novel fractional-order relay auto-tuning method for PIλD controllers, enhancing process control accuracy and stability. The approach effectively reduces output harmonics for improved system performance.
Area of Science:
- Control Systems Engineering
- Automation and Process Control
- Fractional-Order Systems
Background:
- Traditional PID controllers struggle with complex dynamics and disturbances.
- Fractional-order controllers offer enhanced flexibility but require sophisticated tuning methods.
- Accurate automatic tuning is crucial for robust industrial process control.
Purpose of the Study:
- To develop a modified fractional-order relay-based auto-tuning method for PIλD controllers.
- To improve the accuracy and stability of control systems, especially under load disturbances.
- To leverage fractional calculus for enhanced controller performance.
Main Methods:
- A modified relay incorporating a series PIλ controller was utilized.
- Limit cycle parameters (critical frequency, peak amplitude) were extracted for controller design.
- Phase margin criteria and Nyquist curves guided the determination of controller parameters (proportional gain, integral time, derivative time).
- The fractional order (λ) was optimized to minimize output harmonics.
Main Results:
- The proposed method successfully extracts essential parameters for PIλD controller design.
- The inclusion of λ in the relay controller reduces output harmonics, improving accuracy.
- Simulations demonstrated the effectiveness of the auto-tuning method and the designed PIλD controller for stable processes.
Conclusions:
- The modified fractional-order relay auto-tuning technique provides an effective approach for designing PIλD controllers.
- This method enhances control system accuracy and stability, particularly in the presence of load disturbances.
- Fractional-order control offers significant advantages for advanced process automation.
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