基于遗传算法整定驱动参数的水力发电机PID控制  

PID Control of Hydraulic Generator Based on Genetic Algorithm Tuning Drive Parameters

作　　者：许天阳 Xu Tianyang(Sanmenxia Yellow River Pearl(Group)Co.,Ltd.,Sanmenxia 472000,China)

机构地区：[1]三门峡黄河明珠(集团)有限公司,河南三门峡472000

出　　处：《防爆电机》2024年第4期16-18,29,共4页Explosion-proof Electric Machine

摘　　要：为了弥补PID控制容易出现超调的现场,设计了一种基于遗传算法整定驱动参数的水力发电机PID控制方法。从正弦信号方面对水力发电机开展进给测试,促进了跟随性能的显著提升。研究结果表明:遗传算法整定方案在迭代到37次时达到收敛,幅频特性表明系统获得了理想响应性能。采用遗传算法整定驱动参数后获得更低跟随误差,表现出了更优的跟随性能。正弦信号下遗传算法参数整定时达到了更低跟随误差,表现出了更优的跟随性能。绝对误差极值降低35.5%,绝对误差积分降低50.1%。该研究有助于提高水力发电机控制稳定性,也可适用于其它的机械传动机构。In order to make up for the spot where PID control is prone to overshoot,a PID control method based on genetic algorithm is designed to tune the drive parameters of hydraulic generator.The feed test of the hydraulic generator is carried out from the aspect of sinusoidal signal,which promotes the remarkable improvement of the following performance.The research results show that the genetic algorithm setting scheme has achieved the convergence after 37 iterations,and the amplitude-frequency characteristics show that the system has obtained the ideal response performance.The genetic algorithm used to adjust the drive parameters has obtained the lower following error,which has better following performance.Under sinusoidal signal,the tuning parameter achieves lower following error and has better following performance.The extreme value of absolute error is reduced by 35.5%,and the integral of absolute error is reduced by 50.1%.This research is helpful to improve the control stability of hydraulic generator,and can also be applied to other mechanical transmission mechanisms.

关 键 词：水力发电机 比例积分微分(PID) 参数整定 遗传算法 

分 类 号：TM301.2[电气工程—电机]