This paper investigates a novel anti-disturbance speed tracking control problem for permanent magnet synchronous motor (PMSM) systems with unknown mismatched disturbances. In order to realise the rejection and compensation for load torque, a cascaded PMSM system is constructed by using a coordinate transformation such that the load disturbances become matched with respect to the virtual control input. By combining disturbance observer with proportional-integral feedback control structure, a composite speed controller is proposed on this basis to ensure the PMSM system stability, and convergence of the tracking error of angular velocity to zero. The favourable observation performance for the load torque and its derivative can also be achieved simultaneously. Meanwhile, the [Formula: see text] performance index is used to further optimise the robustness of the PMSM system. Finally, the effectiveness of the proposed control scheme is verified by simulations for the PMSM system with monotonous disturbances and harmonic disturbances respectively.
In order to optimize the speed-control performance of the permanent magnet synchronous motor (PMSM) driver system, a novel proportional-integral (PI) speed tracking control algorithm with convex optimization techniques is developed in this paper. Instead of debugging repeatedly or depending on experience to obtain PI control gains, an LMI-based PI control algorithm is proposed to ensure the PMSM system stability and convergence of the tracking error of angular velocity to zero. Moreover, the load torque disturbance attenuation performance with L1 optimization index can also be guaranteed simultaneously. It is noted that rigorous stability and performance analysis for the speed-control of PMSM system can be provided by the designed optimization algorithm. Finally, simulation studies and results demonstrate that the proposed method obtains good robust tracking performance.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.