Adaptive two-degree-of-freedom PI for speed control of permanent magnet synchronous motor based on fractional order GPC

被引：28

作者：

Qiao, Wenjun ^{[1
]}

Tang, Xiaoqi ^{[1
]}

Zheng, Shiqi ^{[1
]}

Xie, Yuanlong ^{[1
]}

Song, Bao ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, 1037 Luoyu Rd, Wuhan, Peoples R China

来源：

ISA TRANSACTIONS | 2016年 / 64卷

基金：

中国国家自然科学基金;

关键词：

Permanent magnet synchronous motor; Two-degree-of-freedom PI; Just-in-time learning; Fractional order generalized predictive control; Adaptive speed control; PREDICTIVE CONTROL; METHODOLOGY; DESIGN;

D O I：

10.1016/j.isatra.2016.06.008

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, an adaptive two-degree-of-freedom (2Dof) proportional-integral (PI) controller is proposed for the speed control of permanent magnet synchronous motor (PMSM). Firstly, an enhanced just-in time learning technique consisting of two novel searching engines is presented to identify the model of the speed control system in a real-time manner. Secondly, a general formula is given to predict the future speed reference which is unavailable at the interval of two bus-communication cycles. Thirdly, the fractional order generalized predictive control (FOGPC) is introduced to improve the control performance of the servo drive system. Based on the identified model parameters and predicted speed reference, the optimal control law of FOGPC is derived. Finally, the designed 2Dof PI controller is auto-tuned by matching with the optimal control law. Simulations and real-time experimental results on the servo drive system of PMSM are provided to illustrate the effectiveness of the proposed strategy. (C) 2016 ISA. Published by Elsevier Ltd. All rights, reserved.

引用

页码：303 / 313

页数：11

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