Fuzzy-based metaheuristic algorithm for optimization of fuzzy controller: fault-tolerant control application
International Journal of Intelligent Computing and Cybernetics
ISSN: 1756-378X
Article publication date: 13 January 2022
Issue publication date: 22 September 2022
Abstract
Purpose
Fuzzy-based metaheuristic algorithm is used to optimize the fuzzy controllers for the nonlinear level control system subject to uncertainty specially in the main actuator that has lost effectiveness (LOE). To optimize the fuzzy controller, type-1 harmonic search (HS) and interval type-2 (HS) will be used.
Design/methodology/approach
The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for Fault-Tolerant Control (FTC) applications, and this research proposes a fuzzy-based HS metaheuristic method. The performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has lost effectiveness (LOE) and also the same controller will be tested on DC motor angular position control with and without noise.
Findings
The key contribution of this work is the discovery of the best approach for generating an optimal vector of values for the fuzzy controller's membership function optimization. This is done in order to improve the controller's performance, bringing the process value of the two-tank level control process closer to the target process value (set point). It is worth noting that the type-1 fuzzy controller that has been optimized is an interval type-2 fuzzy system, which can handle more uncertainty than a type-1 fuzzy system.
Originality/value
The type-1 and type-2 fuzzy-based HS algorithms are designed for optimization of fuzzy controllers for FTC applications, and this research proposes a fuzzy-based HS metaheuristic method. The performance of a fuzzy logic-based HS algorithm applied to a nonlinear two-tank level control process with a main actuator that has LOE will be tested on DC motor angular position control with noise. Two nonlinear uncertain processes are used to demonstrate the effectiveness of the proposed control scheme.
Keywords
Acknowledgements
The project outcome is post PhD work of the corresponding author of this article. This research received no external funding. The authors would also like to thank the Department of Instrumentation and Control, Faculty of Technology, Dharmsinh Desai University, Nadiad-387001, Gujarat, India.
Funding: This research received no external funding.
Citation
Patel, H.R. (2022), "Fuzzy-based metaheuristic algorithm for optimization of fuzzy controller: fault-tolerant control application", International Journal of Intelligent Computing and Cybernetics, Vol. 15 No. 4, pp. 599-624. https://doi.org/10.1108/IJICC-09-2021-0204
Publisher
:Emerald Publishing Limited
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