Abstract:
In this paper, a new cascade control structure is proposed for model predictive control (MPC) of permanent magnet synchronous machine (PMSM). Based on the d-q model of th...Show MoreMetadata
Abstract:
In this paper, a new cascade control structure is proposed for model predictive control (MPC) of permanent magnet synchronous machine (PMSM). Based on the d-q model of the PMSM and the field-oriented control principle, the cascade structure consists of an inner loop for predictive control of d-q currents and an outer one for predictive control of speed and load torque rejection. To independently control the two currents in the inner loop, a decoupling algorithm was used, followed by MPC controllers that by their ability to manipulate the constraints in the design phase ensure efficient control considering the physical limitations of currents and voltages. Quadratic constraints of electrical signals are approximated by box constraints to reduce computational effort. For speed control and load torque rejection, an MPC controller with a measurable disturbance input is used in the outer loop. Since the load torque is not measurable, an observer was used to estimate it. The proposed predictive control structure for the PMSM was implemented in Matlab-Simulink using MPC controllers from the MPC Toolbox. The Simulink control scheme was used for the performance testing against classical PI controllers.
Date of Conference: 10-12 October 2024
Date Added to IEEE Xplore: 11 November 2024
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