无刷直流电机稳定性控制器设计
程飞;周云山
【期刊名称】《计算机仿真》 【年(卷),期】2024(035)004
【摘要】In the process of controlling brushless DC motor,there are many difficult problems in the existing control strategies for complex nonlinear or time-varying or coupling systems and uncertain parameters structure,such as the difficulty of selecting control parameters of systems and the shortcoming of high speed and stability of systems,which makes its application be limited.A fuzzy PID stability control method for brushless DC motor based on improved genetic algorithm is proposed to solve the above problem.The principle of genetic algorithm was described in detail,and the optimization process for controlling the improved genetic algorithm based on the fuzzy PID control method was also describes,which achieved good control effect.The results show that after the optimal designing of improved algorithm,using the stability controller to control the Brushless DC Motor System can reduce the step response time and the steady-state error.The results indicate that the stability controller can strengthen the stability of the control process,and can meet the control requirements in the practical application of brushless DC motor.%在无刷直流电机控制过程中,传统的PID控制策略在针对控制非线性、时变、耦合及参数和结构不确定的
无刷直流电机稳定性控制器设计
