中国电机工程学报2012，Vol.32Issue(27)：66-72,7.
超声电机非线性多步预测自校正转速控制
Self-tuning Nonlinear Generalized Predictive Speed Control of Ultrasonic Motors
摘要
Abstract
Based on the tested data of ultrasonic motor's dynamic response, the non-linear Hammerstein model of an ultrasonic motor driving system is proposed. The model's parameters are identified using the particle swarm optimization method. The input variable of the model is driving frequency of motors, the output is the rotating speed. Using this Hammerstein model, the inversion formula of the nonlinear part can be directly obtained. Therefore, the motor's main nonlinearities depicted by the nonlinear part of Hammerstein model can be compensated online. Thereafter, the self-tuning nonlinear generalized predictive speed control strategy of ultrasonic motors is proposed. The tuning method of controller's parameters is also discussed in detail. This control strategy utilizes roll forecast, optimization and online self-tuning methods to deal with the unmodeled nonlinearity of ultrasonic motors. The experiments with disturbance indicate the validity and robustness of the proposed strategy.关键词
超声电机/转速控制/动态非线性模型/多步预测控制/自校正控制Key words
ultrasonic motor (USM)/ speed control/dynamic nonlinear model/ generalized predictive control/self-tuning control分类
信息技术与安全科学引用本文复制引用
史敬灼,吕方方..超声电机非线性多步预测自校正转速控制[J].中国电机工程学报,2012,32(27):66-72,7.基金项目
河南省基础与前沿技术研究计划(092300410164). （092300410164）
