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Published on: November 24, 2021
Disturbance rejection control for non-minimum phase systems with optimal disturbance observer
1Department of Automation; Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, PR China.
This study introduces a robust disturbance observer (DOB) for stable non-minimum phase systems with time delays. The novel DOB configuration optimizes control performance and stability for uncertain systems.
Area of Science:
- Control Systems Engineering
- Systems Theory
Background:
- Non-minimum phase (NMP) systems with time delays present significant control challenges.
- Disturbance rejection is crucial for maintaining system performance in the presence of uncertainties.
Purpose of the Study:
- To develop a robust disturbance observer (DOB) based control strategy for stable NMP systems with time delays.
- To propose a novel DOB configuration strategy that synthesizes multiple critical design requirements.
Main Methods:
- A robust DOB is employed to compensate for plant uncertainties, transforming the uncertain plant into a nominal one.
- A prefilter is designed for desired performance based on the compensated nominal plant.
- A novel DOB configuration strategy is developed by formulating an optimization function that integrates internal/robust stability, relative order, and mixed sensitivity.
Main Results:
- The proposed DOB-based control structure effectively compensates for uncertain plants, including those with unstable zeros and time delays.
- The novel DOB configuration strategy successfully synthesizes stability, performance, and robustness requirements.
- Optimal solutions are obtained using standard H∞ theory, guaranteeing the specified design requirements.
Conclusions:
- The developed robust DOB-based control strategy offers an effective solution for disturbance rejection in stable NMP systems with time delays.
- The proposed DOB configuration methodology provides a systematic approach to designing controllers that meet complex performance and stability criteria.
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