Optimal Active Disturbance Rejection Control of Converters at the Interface of Electric Vehicles
A fuzzy decoupling self-disturbance rejection control based on the principle of system disturbance decomposition and fuzzy optimization algorithm was designed to address the problem of voltage quality degradation in interface converters caused by various disturbances.Firstly,two extended state observers were designed to observe external and internal disturbances separately,improving the disturbance observation capability of the original observers;at the same time,a disturbance error feedback law was designed to cancel out the disturbance estimation value output by the observer in real time,ensuring the system's anti-interference performance;moreover,fuzzy optimization algorithm was introduced to optimize the adjustment parameters in decoupling self-disturbance rejection,ensuring that the system can obtain the optimal parameters in real time;finally,a digital simulation model of electric vehicles was built on the MATLAB/Simulink platform,and comparative experiments were conducted to verify the fuzzy decoupling self-disturbance rejection,traditional self-disturbance rejection,and proportional integral control.The results indicate the correctness and superiority of the proposed control strategy.
new energy technologyelectric vehiclesinterface converterdecoupling self-disturbance rejectionfuzzy algorithm