直流电动机调速控制系统的仿真研究

摘要

研究直流调速系统控制性能优化问题,直流调速系统是一种具有时变性和非线性的复杂控制系统,无法建立精确数学模型,传统PID控制的控制效果依赖于被控对象的精确数学模型,传统PID无法动态适应直流调速系统,难以获得较高的控制精度.SVM具有非线性控制能力,不需要建立精确的直流调速系统数学模型就可以进行精确逼近,为提高了直流调速系统控制精度,提出一种支持向量机和传统PID相结合的直流调速系统控制方法(SVM-PID).通过支持向量机对传统PID控制器3个参数进行在线整定,使PID控制器能够适应直流调速系统非线性变化,从而实现对适应直流调速系统精确控制,最后采用仿真验证SVM-PID性能.仿真结果表明,SVM-PID较好的克服了传统PID控制器存在的不足,提高了系统的抗干扰能力,减小了系统的超调量,为提高控制系统的性能提供了依据.%Study DC speed control system optimization problem. To improve the control precision of DC speed regulating system, the paper put forward a DC speed control system control method which combines support vector machine and PID( SVM - PID). The support vector machine is used for the on - line adjusting of three PID controller parameters, so that the PID controller can adapt to changes in DC speed regulating system to achieve precise control to DC speed control system The simulation results verify the performance of SVM - PID. The simulation results show that, the SVM - PID can overcome the shortcomings of traditional PID controller, improve the anti - interference ability of the system, reduce the system overshoot, and obtain high control precision.