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Open AccessArticle

Predictive Speed-Control Algorithm Based on a Novel Extended-State Observer for PMSM Drives

by Yang Zhao 1, Xudong Liu 1,* and Qi Zhang 2
1
College of Automation, Qingdao University, Qingdao 266071, China
2
School of Control Science and Engineering, Shandong University, Jinan 250061, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2019, 9(12), 2575; https://doi.org/10.3390/app9122575
Received: 28 April 2019 / Revised: 8 June 2019 / Accepted: 21 June 2019 / Published: 25 June 2019
(This article belongs to the Section Electrical, Electronics and Communications Engineering)
To enhance the control performance of permanent-magnet synchronous motor (PMSM) drive systems, achieving high-precision motion control, a generalized predictive control (GPC) method based on a novel extended-state observer (ESO) is investigated for the speed control of PMSM. In this paper, the controller design consists of two steps. Firstly, according to the continuous time model of PMSM, using the Taylor series expansion, the predictive value of motor speed in finite time is derived, and the single-loop speed controller by combining the speed loop and q - axis current loop is obtained through the defined cost function. The structure of the controller is simple compared to other forms. Secondly, considering the uncertainty of the load torque and the model uncertainties, a novel extended-state observer is designed to compute the actual torque, and the observed value is introduced to the GPC controller. The simulation and experimental results show that the proposed GPC+ESO control method has superior dynamic performance and strong robustness. View Full-Text
Keywords: generalized predictive control; novel extended-state observer; PMSM drives generalized predictive control; novel extended-state observer; PMSM drives
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MDPI and ACS Style

Zhao, Y.; Liu, X.; Zhang, Q. Predictive Speed-Control Algorithm Based on a Novel Extended-State Observer for PMSM Drives. Appl. Sci. 2019, 9, 2575.

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