摘要
针对常规PID控制器无法很好地应对永磁同步电机参数变化和负载扰动等不确定因素的影响,设计一种以三角函数为神经元激励函数的非线性PID神经网络控制器,并将其与常规PID控制器相结合用于永磁同步电机控制.仿真实验结果表明,该控制系统具有快速的响应能力、更好的动态性能和更加稳定的跟踪性能,适合于永磁同步电机速度控制.
Because the conventional PID controller is unable to deal with the influence of some uncertain factors , such as parameter variation and load disturbance of permanent magnet synchronous motor. A nonlinear PID neural network controller approach using the trigonometric functions as a neurons excitation functions is proposed in this paper, and combines with a conventional PID controller to control a permanent magnet synchronous motor. Simulation results show that this control system has a fast response ability, better dynamic performance and more stable tracking performance. It＇s suitable to speed control of permanent magnet synchronous motors.
出处
《电力科学与技术学报》
CAS
2012年第4期70-75,共6页
Journal of Electric Power Science And Technology
基金
国家自然科学基金(61040049)
关键词
永磁同步电机
非线性控制
神经网络
PID控制
permanent magnet synchronous motor
nonlinear control
neural network
PlD control
