基于ARM的单神经元自适应PID电机软起动的实现

Motor Soft Starter Based on Single Neural PID Self-Adaptive Algorithm Based on ARM

三相异步电机是一个具有非线性、高阶和强耦合的时变系统。它是针对在电机起动过程中,由于采用常规的PID控制方法难以满足电机起动的控制要求的情况下,而专门设计的一种单神经元自适应PID控制的算法。该控制算法通过单神经元自学习功能,不断修正PID参数权重,来自动寻求系统最优控制。仿真实验表明:应用该算法控制电机起动,能获得较好的控制精度和平稳起动性能,同时算法具有较强的鲁棒性。

Three-Phase Asynchronous Motor is a kind of time-varying system, which has the qualities of nonlinear, high-order, strong coupling. In the process of motor starting, conventional PID control algorithm cannot satisfy the demand of controlling the mo- tor starter, this paper introduced a new control method of single neural self-adaptive PID controller and applicated it in soft starter. The method constantly modifies the weight of PID parameters. In order to seek the best result through the single neural Self-Study function. The simulation result shows that a higher control precision and a more stable start^up can be achieved through that method. In addition, the method has a relatively strong robust.