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Fuzzy tracking control of fuzzy linear dynamical systems
Seyed Mohammad Mehdi Abbasi1, Aliakbar Jalali1
1Department of Electrical Engineering, Iran University of Science and Technology, Tehran, Iran.
ISA Transactions
|August 26, 2019
Summary
This study introduces fuzzy tracking control for uncertain linear systems using fuzzy numbers. Novel fuzzy control laws ensure system output tracks desired inputs while rejecting fuzzy disturbances.
Area of Science:
- Control Engineering
- Fuzzy Systems
- Dynamical Systems
Background:
- Uncertain linear dynamical systems pose challenges for precise control.
- Fuzzy numbers can represent system uncertainties effectively.
- Fuzzy differential equations model these uncertain systems.
Purpose of the Study:
- To develop fuzzy tracking control laws for uncertain linear dynamical systems.
- To address the challenge of fuzzy disturbances in control systems.
- To ensure system output accurately tracks reference inputs.
Main Methods:
- Utilizing Mazandarani's approach and granular differentiability for fuzzy differential equations.
- Proposing two distinct fuzzy control laws based on theorems.
- Implementing fuzzy state feedback with fuzzy gains and a pre-compensator.
Main Results:
- The first fuzzy control law achieves tracking using fuzzy state feedback.
- The second fuzzy control law effectively rejects fuzzy disturbances.
- Demonstrated effectiveness through simulations on a two-tank system and aircraft control.
Conclusions:
- The proposed fuzzy control strategies are effective for uncertain linear systems.
- Fuzzy tracking control can successfully manage system uncertainties and disturbances.
- The methods provide robust control solutions for complex dynamic systems.
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