基于改进萤火虫群优化算法的永磁同步电机级联控制

PMSM cascade control based on improved glowworm swarm optimization

  • 摘要: 针对永磁同步电机(permanent magnet synchronous motor, PMSM)控制系统的鲁棒性和稳态性能易受外部干扰和参数调整等因素影响,提出一种基于改进萤火虫群优化(glowworm swarm optimization, GSO)算法的自抗扰控制(active disturbance rejection control, ADRC)和改进超螺旋滑模控制(super-twisting sliding mode control, STSMC)相结合的控制方法。首先,采用改进的GSO算法对自抗扰控制器参数进行优化整定,解决传统自抗扰控制器参数选择困难、初始条件敏感及鲁棒性不足等问题,进而将优化后的ADRC运用到转速环。其次,将改进的STSMC运用到电流环,以解决传统滑模控制抖振严重、稳态性能差以及控制系统对数学模型精度要求较高的缺陷。最后,对该控制方法进行应用仿真,结果表明采用该控制方法能有效降低超调量和稳态误差,提高系统的抗干扰能力,加快响应时间。所提出的方法不仅验证了其可行性和优越性,还为永磁同步电机控制系统的设计提供一定参考建议。

     

    Abstract: A control method combining improved glowworm swarm optimization (GSO)-based active disturbance rejection control (ADRC) and improved super-twisting sliding - mode control (STSMC) is proposed to address the issues of the robustness and steady-state performance of permanent magnet synchronous motor (PMSM) control systems being easily affected by external interference and parameter adjustment. Firstly, the parameters of ADRC were optimized using the improved GSO algorithm, which resolved the traditional ADRC's difficulties in parameter selection, sensitivity to initial conditions, and insufficient robustness, thereby enhancing the control system's performance. The optimized ADRC was then applied to the speed loop. Secondly, the improved STSMC was applied to the current loop, addressing the traditional sliding-mode control's shortcomings, such as severe chattering, poor steady - state performance, and high demand for mathematical model accuracy. Finally, the control method was subsequently simulated. Simulation results indicate that the proposed control method can effectively reduce overshoot and steady-state error, improve the system's anti-interference capability, and accelerate response time. The method not only validates its feasibility and superiority but also offers reference suggestions for the design of PMSM control systems.

     

/

返回文章
返回