| 引用本文: | 李圣怡,邹向阳,吴振峰.压电执行器 NLDDS及神经网络非线性建模与控制.[J].国防科技大学学报,1992,14(2):5-11.[点击复制] |
| Li Shengyi,Zou Xiangyang,Wu Zhenfeng.Research of NLDDS and Neural Network for Modeling，Forecasting and Control of a Piezo-actuator[J].Journal of National University of Defense Technology,1992,14(2):5-11[点击复制] |
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| 压电执行器 NLDDS及神经网络非线性建模与控制 |
| 李圣怡, 邹向阳, 吴振峰 |
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(精密机械与仪器系)
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| 摘要: |
| 本文采用非线性动态数据系统 (NLDDS) 建模方法和非线性递推最小二乘算法，对具有迟滞非线性特性的压电陶瓷微进给执行器的动态特征进行了建模、预报与控制，并且用人工神经网络对该类系统的建模与控制进行仿真。结果证明上述方法在一定程度上是可行的和有效的。 |
| 关键词: 压电执行器，非线性建模与控制，神经网络，非线性动态数据系统 |
| DOI： |
| 投稿日期：1992-01-02 |
| 基金项目:国家自然科学基金资助项目 |
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| Research of NLDDS and Neural Network for Modeling，Forecasting and Control of a Piezo-actuator |
| Li Shengyi, Zou Xiangyang, Wu Zhenfeng |
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(Department of Precision Machinery and Instrument)
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| Abstract: |
| The nonlinear dynamic data system (NLDDS) and nonlinear recursive least square (NLRLS)methods are used for modeling，forecasting and control of a piezoelectric actuator with nonlinear hysteresis characteristics in this paper. Neural network is also used for simulation for this purpose. Results of above research show that these methods are feasible and effective. |
| Keywords: neural network,piezoeleetric actuator,nonlinear modeling and control,nonlinear dynamic data system |
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