Dominant pole placement with fractional order PID controllers: D-decomposition approach
Petar D Mandić1, Tomislav B Šekara2, Mihailo P Lazarević1
1Dept. of Mechanics, Faculty of Mechanical Engineering, University of Belgrade, Kraljice Marije 16, Belgrade, Serbia.
ISA Transactions
|December 13, 2016
Summary
This study introduces the D-decomposition method for designing controllers, including fractional order PID controllers, to effectively manage complex systems. It optimizes system performance for disturbance rejection and set point tracking.
Area of Science:
- Control Engineering
- System Dynamics
- Automation
Background:
- Controlling high-order and time-delay systems often requires complex controllers.
- Classical PID controllers have limitations in managing diverse system dynamics.
- Advanced control strategies are needed for robust industrial process management.
Purpose of the Study:
- To apply the D-decomposition method for designing low-order controllers for complex systems.
- To introduce and tune fractional order PID controllers for enhanced system performance.
- To achieve good load disturbance rejection and set point response while constraining sensitivity.
Main Methods:
- Utilizing the D-decomposition method for analytical controller design.
- Implementing a fractional order PID controller as a generalization of the classical PID.
- Tuning controller parameters to meet specific performance criteria like disturbance rejection and sensitivity constraints.
Main Results:
- The D-decomposition method proves effective for a wide range of transfer functions, including those with time-delays and distributed parameters.
- Fractional order PID controllers offer additional parameters for superior system performance tuning.
- The proposed method achieves good load disturbance response and set point tracking with controlled sensitivity.
Conclusions:
- The D-decomposition method, especially with fractional order PID controllers, provides a powerful and versatile approach for industrial process control.
- This technique offers a practical and effective solution for enhancing the performance of complex control systems.
- The method demonstrates superior effectiveness compared to other PID optimization techniques through industrial case studies.
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