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DSP-based real-time implementation of a neural network observer and hybrid H Adaptive Controller for servo-motor drives

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4 Author(s)
Chen Yongjun ; Coll. of Electron. & Inf., Yangtze Univ., Jingzhou ; Huang Shenghua ; Wan Shanming ; Wu Fang

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.

Published in:

Control Conference, 2008. CCC 2008. 27th Chinese

Date of Conference:

16-18 July 2008

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