Designing a Switching Controller Based on Control Performance Assessment Index and a Fuzzy Supervisor for Perturbed Discrete-Time Systems Subject to Uncertainty

In this paper, a switching control strategy based on control performance assessment index namely Harris index and a fuzzy supervisor has been proposed for a perturbed discrete-time system subject to uncertainty. In the switching strategy, multiple controllers are utilized so that their virtues such...

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Vydáno v:Automatic control and computer sciences Ročník 53; číslo 2; s. 116 - 126
Hlavní autoři: Mohammad Babaie, Rahmani, Zahra, Rezaie, Behrooz
Médium: Journal Article
Jazyk:angličtina
Vydáno: Moscow Pleiades Publishing 01.03.2019
Springer Nature B.V
Témata:
Computer Science
Control Structures and Microprogramming
Control systems design
Controllers
Discrete time systems
Fuzzy systems
Performance assessment
Sensitivity
Sliding mode control
Strategy
Supervisors
Switching
Uncertainty
quasi sliding mode control
fuzzy supervisor
control performance assessment index
harris index
minimum variance controller
incremental minimum variance controller
ISSN:0146-4116, 1558-108X
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Shrnutí:In this paper, a switching control strategy based on control performance assessment index namely Harris index and a fuzzy supervisor has been proposed for a perturbed discrete-time system subject to uncertainty. In the switching strategy, multiple controllers are utilized so that their virtues such as robustness, minimum output variance and minimum domain of control effort have been achieved simultaneously. Disadvantages of the used controllers like chattering and sensitivity to uncertainty are also improved. The Switching strategy has been designed in three steps. First of all, proper controllers have been designed which are minimum variance, incremental minimum variance and quasi sliding mode controllers. Then, Harris index and fuzzy supervisor are also designed in the next steps respectively. The Harris index has been determined to select proper controller among the available controllers for regulatory and tracking problems. The fuzzy supervisor is also designed to improve Harris index performance. The fuzzy supervisor is Sugeno type which can be used as a supervisor on Harris index operation, especially in presence of uncertainties. Finally, simulation results show that proposed control strategy improves the output variance effectively, reduces chattering domain of control input and sensitivity to uncertainty.
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ISSN:0146-4116
1558-108X
DOI:10.3103/S0146411619020020