摘要
文章针对传统的PID控制器固定参数所造成的不足,对直流调速系统的控制策略进行了研究,设计了一种基于DSP芯片TMS320F2812的直流电机CMAC自适应控制系统,详细介绍了该系统采用的小脑模型神经网络(CMAC)和PD复合控制的自适应控制策略和软硬件设计方法,并在CCS环境下进行了实验。结果表明,该设计方案硬件电路结构简单,易于实现,系统在所提出的自适应控制策略下减小超调的同时保证了响应速度,能够快速平稳的跟踪给定速度,动、静态性能均优于常规PID控制,具有较强的鲁棒性。
In order to eliminate the defect causing by fixed parameters of the traditional PID controller,researches on DC motor control strategy has been taken and a DC motor control system based on DSP is proposed.The focuses lie on the design of the hardware,the software and a hybrid control method,which is a novel approach of compound control using cerebella mode articulation controller and PD strategy.Experiments have been taken under the CCS environment and the results show that the control system outperforms the traditional PID control with strong reliability,general compatibility and easy realization.
出处
《组合机床与自动化加工技术》
北大核心
2010年第8期48-51,共4页
Modular Machine Tool & Automatic Manufacturing Technique
关键词
DSP
自适应
小脑模型神经网络
PID控制
DSP
Self-adaptive
cerebella mode articulation controller
PID control
