Iranian Journal of Power Engineering

Iranian Journal of Power Engineering

Optimal Fuzzy Sliding Mode Control Design for Practical DC Motor by Utlizing Jaya Algorithm

Articles in Press

Document Type : Original Article

Authors
Mir Abolfazl Mokhtari 1
Javad Rafierad 2
1 Imam Ali university, Tehran, Iran
2 AJA University of Command and Staff, Tehran, Iran
10.22077/ijpe.2025.6358.1003
Abstract
In this study, an optimal fuzzy sliding mode control (OFSMC) is proposed for the speed and position of a DC motor. For robustness against external disturbance and parameter uncertainty, sliding mode control (SMC) is offered. To improve the effectiveness of the SMC and to decrease the chattering effects, fuzzy logic systems are combined with the proposed sliding mode controller. Moreover, by utilizing of Jaya Optimization Algorithm, the parameters of the suggested controller are optimized. By using Jaya Algorithm, the sliding surface of controller is tuning online that has more benefits in versuse of constant gains. As expecting OFSMC is the best control performance (lower error values) among other suggested controllers that merits of applying the Jaya optimization algorithm for the optimization of the sliding surface gains system are apparent. In following, by utilizing the Lyapunov stability theorem closed-loop system stability is proved. Finally, the experimental results have denoted the merits of the suggested controller.
Keywords
DC Motor
Fuzzy logic system
Sliding mode control
Jaya Optimization Algorithm
Iranian Journal of Power Engineering

Articles in Press, Accepted Manuscript
Available Online from 23 October 2026