Performance Evaluation of Fuzzy Logic and Fractional Order PI Controllers for Electric Vehicle Wireless Charging System

• Aminu BALA

  Department of Electrical and Electronics Engineering, Federal University Dutsin-Ma, Katsina State, Nigeria

  Author

• Nasiru B. KADANDANI

  Department of Electrical Engineering, Bayero University, Kano, Nigeria

  Author

• Isiyaku ABUBAKAR

  Department of Electrical Engineering, Bayero University, Kano, Nigeria

  Author

This study presents a comprehensive performance evaluation of fuzzy logic controller (FLC) and fractional order proportional integral (FOPI) controller applied to an electric vehicle (EV) wireless charging system. A comparative analysis was conducted through detailed simulation models in MATLAB software R2021a to assess the controllers’ effectiveness in maintaining regulated and stable output voltage and power transfer efficiency. Although both FLC and FOPI controllers have been explored in various nonlinear systems, limited comparative performance studies exist on their application to EV wireless charging systems under identical simulation conditions. Moreover, most previous works focus on conventional PID control and do not compare intelligent controllers (like Fuzzy and FOPI). The FLC was implemented in MATLAB software using FLC tool box to address system nonlinearities through rule-based system, while Fractional-Order Modeling and Control (FOMCON) tool box in MATLAB Simulink was utilized to obtain optimal parameters for FOPI controller. The optimized parameters obtained when integral time square error (ITSE) was used as performance matrix are proportional gain, k_p = 3.2555, integral gain, k_i = 2.5062 and  =0.93 which improve control precision. Simulation outcomes revealed that FLC controller demonstrated superior dynamic performance in terms of power transfer efficiency of 89% compared to FOPI and open loop of 72&and 21.8% respectively. It was established that FOPI controller enhanced system stability with minimal overshoot and settling time compared to FLC. These results indicate that advanced control methodologies, such as FLC and FOPI controllers can substantially improve the operational reliability and efficiency of EV wireless charging systems by promoting wider adoption of wireless charging technologies.

• FJET_12_85_78

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