Study on Tracking Control of Micro hard Disk Dual-stage Servo Systems Based on Neural Network
Based on neural network, this work is to investigate one control technique of micro hard disk dual-stage servo systems, due to the difficulty that single-stage control techniques suppress noisy disturbance hardly. Firstly, the models of the voice coil motor and micro-actuator are identified by means of BP network and Elman network, respectively; secondly, the controllers of these two models are designed in terms of PID network, in which initial weights and learning rates are gained by optimal preservation genetic algorithm(OPGA). Thirdly, the proposed controllers are applied to micro disk dual-stage servo control systems. Experimental results illustrate that the slider head can effectively track given reference signal while its output error can obtain compensation through the output of the micro-actuator.
micro hard disk dual-stage control model identification genetic algorithm PID neural network
Xu Zhi dan Xu Zhijie
Basis Science Department Harbin Commercial University Harbin, China School of science Beijing University of Civil Engineering and Architecture, Beijing, China
国际会议
太原
英文
676-680
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）