摘要
首先运用电机学理论知识建立了一个直流电机数学模型,并用PID控制算法优先仿真。根据PID仿真结果可看出控制精度低、稳定性差。然后基于模糊理论设计一个二维模糊控制器,通过模糊控制器对直流电机模型进行仿真。最后得到电机速度的控制性能。选取车速误差e及其误差变化率ec作为模糊控制器输入,通过模糊控制器的仿真结果,比较两种算法对电机速度性能的影响。本文所研究的对象可以运用到智能车领域,具有实际应用价值。
Firstly, a mathematical model of DC motor is established by using the theory of motor in this paper, and PID control algorithm is used to give priority to simulation.According to the PID simulation results, the control precision is low and the stability is poor. Secondly, a two dimensional fuzzy controller based on fuzzy theory is designed, and the model of DC motor is simulated by fuzzy controller.Finally ,the control performance of the motor speed is obtained.In this paper, the speed error e and its error rate ec are selected as the fuzzy controller input, according to the simulation results by fuzzy controller, in order to compare the effects of two kinds of algorithms on the speed performance of the motor.The object of this paper can be applied to the field of intelligent vehicle, which has practical application value.
出处
《齐鲁工业大学学报》
2017年第1期73-77,共5页
Journal of Qilu University of Technology
