液驱喷注器遗传算法优化滑模控制设计及优化

Sliding Mode Control Design and Optimization of Liquid Drive Injector Based on Genetic Algorithm

设计了一种液驱喷注器结构,构建遗传算法优化滑模控制。遗传算法可以获得更佳优化结果,显著提升滑模控制器响应速度,并降低超调量,最终改善了喷注器控制性能。选择滑模控制器调节液压缸活塞的位移,之后对该控制系通过遗传算法实施了优化,经仿真测试对比了优化前后的控制性能差异性。研究结果表明:以遗传算法对活塞运动控制过程进行优化,经过遗传优化后整体系统表现出了更准确的控制效果,响应速度也获得了显著提升。无论在余弦波还是阶跃波信号下,改进滑模控制系统的响应时间得到降低的很明显,控制在0.02s内;位移误差控制在0.002cm以内,很好的满足实际情况的需要。该研究对提高喷注器的工作效率以及位移控制精度提供了一定的理论支撑作用,具有很好的推广效果。

A fluid drive injector structure was designed,and genetic algorithm was established to optimize sliding mode control.The genetic algorithm can obtain better optimization results,significantly improve the response speed of the sliding mode controller and reduce overshoot,and finally improve the control performance of the injector.The sliding mode controller was selected to adjust the displacement of the piston of the hydraulic cylinder,and then the control system was optimized by genetic algorithm.The difference of control performance before and after optimization was compared by simulation test.The acting results show that the control process of piston motion is optimized by genetic algorithm.After genetic optimization,the overall system shows a more accurate control effect,and the response speed is also significantly improved.The response time of the improved sliding mode control system is obviously reduced under the conditions of cosine wave and step wave,and the control is within 0.02s.The displacement error is controlled within 0.002cm,which well meets the needs of the actual situation.The research provides a theoretical support for improving the working efficiency and displacement control precision of the injector,and has a good generalization effect.