An adaptive Super-twisting algorithm for permagnetic synchronous motor drives
In the permanent magnet synchronous motor(PMSM)regulation system,an excellent speed controller should have both tracking performance and anti-disturbance performance.With the advantages of fast response and strong robustness,nonlinear control is more suitable for the design of speed controller,but the traditional sliding mode control(SMC)has serious chattering problem.The adaptive Super-twisting algorithm belongs to a second-order SMC,as it could enable to converge the state variables of the phase trajectory to the origin in a series form,and adjust the controller gain online,so chattering could be effectively weakened.An adaptive Super-twisting algorithm is used to design the speed controller,and its stability is proved by the Lyapunov function.The experimental results show that the proposed controller has good tracking performance and anti-disturbance performance,and can reduce the current rippleto weaken chattering.
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