【作者】 张斌； 费树岷； 王冬晓；

【Author】 ZHANG Bin~1,FEI Shu-Min~1,WANG Dong-Xiao~2 (1.School of Automation,Southeast University,Nanjing,210096,China; 2.School of Environment and Energy,Southeast University,Nanjing,210096,China)

【机构】 东南大学自动化学院； 东南大学能源与环境学院；

【摘要】 永磁同步电机属于高度非线性系统,且难以建立精确的数学模型。针对这一特点,本文提出了一种改进的单神经元的PID控制器。该控制器不仅具有传统PID控制器结构简单易用的特点,还可以将PID参数整定知识以神经元权值的形式嵌入到控制器参数中.控制器参数还具有在线自学习能力。仿真结果表明,与传统的PID控制器相比,在达到同样稳态精度的前提下,本文提出的控制器具有更好的动态性能。更多还原

【Abstract】 PMSM is a highly nonlinear system,and is difficult to be modeled.An improved single-neuron based PID controller is proposed on this paper to attack the problem.The new controller has a simple structure as the traditional PID controllers,and is able to embed the PID tuning knowledge into weights of the single neuron.Moreover, the controller parameters can be further adapted online.Simulation results show that, compared with the conventional PID controller,proposed controller achieves better dynamical performance while achieve the similar static accuracy.更多还原