【摘要】 针对主动磁轴承(AMB)四自由度间强耦合、非线性导致控制器控制效果不佳的问题，将分数阶PID(FOPID)控制器引入AMB控制系统，提出了基于粒子群(PSO)算法的FOPID控制器以提高控制器的响应速度并抑制转轴位移超调量，提高控制精度。采用时间乘以误差绝对值积分(ITAE)作为性能指标，在限制电流模块不同幅值条件下，将FOPID控制器与PID控制器进行比较。仿真结果显示，PSO算法可以简化FOPID控制器参数的调节过程；随着限制电流的提升，FOPID控制器的控制效果明显优于PID控制器，在5 A输入电流的限制下其性能指标高出PID控制器约1.05%;随限制电流幅值增加，在60 A输入电流的限制下性能指标可高出PID控制器约26.25%。更多还原

【Abstract】 Aiming at the problems of strong coupling and nonlinearity between four degree of freedom of active magnetic bearing(AMB), the fractional order PID(FOPID) controller was introduced into AMB control system. A FOPID controller based on particle swarm optimization(PSO) algorithm was proposed to improve the response speed, suppress the overshoot of shaft displacement, and improve the control accuracy. Using the integrated time and absolute error time times absolute error integral(ITAE) as the performance index, FOPID controller was compared with PID controller under the condition of different amplitude of limiting current module. The simulation results showed that the PSO algorithm could simplify the adjustment process of FOPID controller parameters. With the increase of limiting current, the control effect of FOPID controller was obviously better than PID controller, its performance index was about 1.05% higher than PID controller under the limit of 5 A input current. With the increase of the limit current amplitude, the performance index was about 26.25% higher than PID controller under the limit of 60 A input current.更多还原