冷蠕成形系统飞蛾火焰算法的优化控制

Optimal control of moth-flame algorithm for cold extrusion forming system

针对冷蠕成形系统控制过程中存在压力波动的问题,常规PID控制算法存在易陷入局部极值的缺陷,设计一种基于飞蛾火焰优化(MFO)算法的PID控制策略。引入有限元数值模拟软件DEFORM进行冷蠕成形时金属的受力和流向分析,利用所提的算法在全局搜索空间中进行勘探,以螺旋路径的形式逼近火焰,在最佳工况点提升三相异步电机的动态响应水平,优化高阶非线性系统的复杂建模过程,同时,减少滑块压力的波动对液压泵的影响。仿真结果表明,所设计的控制策略可以精确优化PID参数,减少压力扰动的影响,在减少超调量和增强系统鲁棒性等方面具有显著效果。

As the conventional PID control algorithm is prone to falling into local extremum due to the pressure fluctuation existing in the control process of cold extrusion forming system,a PID control strategy based on moth-flame optimization(MFO)algorithm is designed.The finite element numerical simulation software DEFORM is introduced to analyze the stress and flow direction of metal during cold extrusion forming.The proposed algorithm is used to explore in the global search space,approach the flame in the form of spiral path,raise the dynamic response level of three-phase asynchronous motor at the optimal operating point,optimize the complex modeling process of high-order nonlinear system,and reduce the impact of slider pressure fluctuation on the hydraulic pump.The simulation results show that the designed control strategy can accurately optimize the PID parameters,reduce the impact of pressure disturbance,and has significant effects in reducing overshoot and enhancing the robustness of the system.