摘要
针对永磁同步电机非线性、时变不确定性及难以建立精确的数学模型等问题,不同于动态线性时变模型替代一般非线性系统,提出一种基于模糊过程和系统输出误差的无模型控制器。基于反馈线性化通过自适应模糊推理估计动态系统非线性函数和控制律;基于系统输出误差提出三个控制规则生成恰当信号控制电机转速。在Simulink环境下建立控制器和永磁同步电机转速仿真系统,仿真分析结果验证了提出方法控制电机转速的可行性和有效性。
For permanent magnet synchronous motor（PMSM） that is nonlinear, time-varying uncertain and difficult to establish a precise mathematic model, different from the dynamic linear model to replace the general nonlinear system, an approach of model free adaptive control（MFAC） based on feedback linearization and output error of the system is proposed. Nonlinear function of dynamic system is estimated by adaptive fuzzy procedure based on feedback linearization, and three rules based on output errors of the system to generate appropriate control signals to the motor velocity is presented. The simulation model of the velocity control for MFAC and PMSM velocity is established in Simulink. Simulation results demonstrate the feasibility and effectiveness of the proposed method.
出处
《自动化技术与应用》
2015年第8期73-77,82,共6页
Techniques of Automation and Applications
基金
吉林省教育厅"十二五"科学技术研究资助项目(2010476)
