Application of a new type of super twist sliding mode control in flywheel energy storage

Abstract

Aiming at the error problem in estimating the speed of a permanent magnet synchronous motor(PMSM) using a sliding mode observer in a flywheel energy storage system, a super twist sliding mode observer(SMO) is used to replace the traditional sliding mode observer. A new saturation function is designed to replace the sign function. In addition, a constant sliding mode gain may lead to a decrease in observation accuracy during speed switching. An adaptive sliding mode gain is proposed to reduce chattering, The accurate estimation of the comprehensive speed range observer is enhanced, and the stability of the proposed observer is proved. On this basis, a super twist sliding mode speed controller is designed to replace the traditional PI controller to improve the observation performance of the system. The flywheel energy storage system's simulation model is built, and the flywheel energy storage system's constant speed standby and charging conditions are simulated. The simulation results verify the correctness and effectiveness of the improved super twist sliding mode observer in the flywheel motor.

Model-free double fractional-order integral sliding mode control for permanent magnet synchronous motor based electric mopeds drive system

“…By substituting the double Fractional-Order integral sliding mode face (10) into the super-twisting reaching law (11), one can obtain that:…”

“…PMSM stands out for its numerous distinctive advantages such as low energy consumption, dependable operation, and uncomplicated structure. This has made it a popular choice for a wide range of applications [9,10]. However, in complex operating conditions such as start-up, acceleration, and situations that require stronger dynamic response and disturbance rejection capabilities, EM may face challenges [11].…”

Vector control of permanent magnet synchronous motor drive system based on new sliding mode control

“…However, the discontinuity of the switching function in sliding mode control can lead to serious chatter, which increases the power loss of the system. Therefore, flutter reduction is an essential area of research in sliding mode controller [16][17][18][19][20]. In reference [20], an adaptive fuzzy SMC is designed, and a nonlinear torque observer is used for torque estimation through feedforward.…”