ScholarWorks@성균관대학교

초록

In this study, we propose a modified model predictive control (MMPC) approach combined with an adaptive second-order disturbance observer (ASDO) for efficient speed control of permanent magnet synchronous motors (PMSMs) in the presence of unknown disturbances, such as system parameter variations and external load torque. The MMPC incorporates feed-forward reference compensation (FFRC) and a posterior constraint compensation (PCC) technique. When the motor operates on a non-constant velocity profile, the FFRC technique reduces the tracking delay associated with conventional MPC methods. Additionally, the PCC technique addresses control signal constraints under a step velocity profile without requiring the solution of complex optimization problems at each time step, thereby reducing the computational effort for the controller. Furthermore, the ASDO utilizes a second-order disturbance observer to enhance the robustness of the MMPC. An adaptive observer bandwidth algorithm is proposed to minimize random noise and current ripple. The performance of the proposed methods was evaluated by applying them to an industrial motor drive, confirming their validity and practicality in real-world operations. © 2020 IEEE.

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