Adaptive SDRE Based Nonlinear Sensorless Speed Control for PMSM Drives

被引：8

作者：

Medagam, Peda V. ^{[1
]}

Yucelen, Tansel ^{[2
]}

Pourboghrat, Farzad ^{[1
]}

机构：

[1] So Illinois Univ, Dept Elect & Comp Engn, Carbondale, IL 62901 USA

[2] Georgia Inst Technol, Sch Aerosp Engn, Atlanta, GA 30332 USA

来源：

2009 AMERICAN CONTROL CONFERENCE, VOLS 1-9 | 2009年

关键词：

NEURAL-NETWORK; SYSTEMS;

D O I：

10.1109/ACC.2009.5160104

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Field orientation or vector control is an advanced technique used for the development of high-performance permanent magnet synchronous motor (PMSM) drives. In this paper, a field-oriented adaptive nonlinear control for PMSM drives is presented for sensorless control of the speed and field of the motor, simultaneously. The proposed approach is based on a state-dependent Riccati equation (SDRE) control technique and its formulation utilizes a gradient-based neural-like system for online computation. The unknown parameters of the PMSM drive, that is, stator resistance and load torque, as well as the speed of the motor, are estimated using an extended Kalman filter (EKF) to eliminate the mechanical sensors. The resulting adaptive algorithm is simple and fast and is easily applicable to real-time control of PMSM drives. The efficacy of the proposed approach for sensorless control of PMSM drives is demonstrated through an illustrative simulation for the proof of concept.

引用

页码：3866 / +

页数：2

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