Title :
DSP-based real-time implementation of a neural network observer and hybrid H∞ Adaptive Controller for servo-motor drives
Author :
Yongjun, Chen ; Shenghua, Huang ; Shanming, Wan ; Fang, Wu
Author_Institution :
Coll. of Electron. & Inf., Yangtze Univ., Jingzhou
Abstract :
This paper presents a method for sensorless speed control of a non-salient permanent magnetic synchronous motor (PMSM). Special attention is put on the neural-based strategies and applied to the sensorless PMSM. An embedded hybrid Hinfin adaptive controller is implemented for trajectory tracking control of a PMSM servo drive system. The proposed control structure employs neural observer (DRNN) and Hinfin tracking controller algorithm to run on the hardware processor of the DSP. The result is a powerful tested for the rapid design and implementation of the controller for a low speed operation conditions. Experimental results are provided to verify the effectiveness of the proposed observer and controller.
Keywords :
Hinfin control; adaptive control; digital signal processing chips; machine control; neurocontrollers; observers; permanent magnet motors; position control; servomotors; synchronous motor drives; tracking; velocity control; DSP; embedded hybrid Hinfin adaptive controller; hardware processor; neural network observer; nonsalient permanent magnetic synchronous motor; sensorless speed control; servo drive system; servo-motor drives; trajectory tracking control; Adaptive control; Control systems; Hardware; Neural networks; Programmable control; Sensorless control; Servomechanisms; Synchronous motors; Trajectory; Velocity control; DSP; H∞ adaptive controller; Neural network estimation; PMSM motion control; Sensorless;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4605000