In this paper, an evolutionary programming (EP) based fuzzy sliding-mode control (FSMC) is proposed for a magnetic ball suspension system. Firstly, we apply a singular perturbation method to examine a nonlinear model proposed for the magnetic ball suspension system. Secondly, we address design methods of sliding-mode control (SMC), FSMC, and dynamic FSMC. We utilize the EP to adjust scaling factors of the input and output variables for the FSMC. Global asymptotic stability of the EP-based FSMC is confirmed by the Lyapunov stability theory. Finally, simulations on the magnetic ball suspension system are given to show the tracking performances of the proposed control structure.
All Science Journal Classification (ASJC) codes
- Statistical and Nonlinear Physics
- Physics and Astronomy(all)
- Applied Mathematics