Design an‎d Implementation of a Control System for a Switched System

3/21/2026 12:00:00 AM

This thesis addresses the design an‎d implementation of an advanced controller for switched systems, which are among the most challenging problems in automatic control due to their dynamic structural changes an‎d inherent uncertainties. The primary objective of this research is to propose a control method that ensures system stability while enhancing tracking accuracy an‎d response quality in the presence of parametric variations an‎d environmental disturbances. Initially, the mathematical model of the system was derived, an‎d comprehensive simulations were conducted in the MATLAB environment to eva‎luate the dynamic behavior of the system an‎d the performance of various control strategies. The Adaptive Fuzzy Sliding Mode Control (AFSMC) was selec‎ted as the proposed approach, as it combines the inherent robustness of sliding mode control against disturbances with the ability of fuzzy systems to approximate nonlinear functions, providing a flexible an‎d resilient framework for controlling complex systems. The embedded adaptive mechanism significantly enhances the controllerʹs ability to adapt to parametric changes an‎d varying operational conditions. Following initial validation through simulations, a physical prototype of the system was constructed, an‎d the controller was implemented on it. To assess performance, the proposed Adaptive Fuzzy Sliding Mode Controller was compared with a classical Proportional-Integral (PI) controller in both simulation an‎d experimental environments. The results demonstrated that the proposed control strategy not only guarantees system stability but also exhibits significant superiority over the PI controller in reducing tracking error, improving transient response, an‎d enhancing steady-state accuracy. The findings of this research confirm that Adaptive Fuzzy Sliding Mode Control can serve as an effective an‎d reliable solution for controlling switched systems an‎d other nonlinear systems with uncertainties, offering new horizons for enhancing the performance of complex systems.

كنترل فازي، لغزشي تطبيقي , كنترل تناسبي انتگرالي , سيستم هاي سوئيچ شونده , نمونه برداري

Adaptive Fuzzy Sliding Mode Control , Proportional-Integral Control , Switched Systems , Sampling

Amirhosein Delake

Amirhosein Davaee Markazi