摘要
通过对参考模型自适应控制的研究,采用popov理论设计参数辨识自适应律,最后设定辨识转动惯量自适应PI调节器,实现给定速度的自适应跟踪。通过与模糊自适应PI控制控制器相比较,通过实验仿真表明模型参考自适应控制系统对外界负载变化具有较强的适应性和抗干扰能力。
Load disturbances,parameter variations and detection of noise uncertainty have seriously affected the brushless DC motor servo control system control performance.While the traditional PI controller can＇t adapt to these changes.Through the study of model reference adaptive control,we designed the parameter identification adaptive law by using popov theory,and then set PI regulator to track a given rate based on identification inertia adaptive.The simulation results show the control system has high precision,strong adaptability and anti-jamming capability with control external changes compared with Fuzzy adaptive PI controller experiment.
出处
《湖北工业大学学报》
2016年第2期73-76,共4页
Journal of Hubei University of Technology
