基于改进萤火虫算法的电动负载模拟系统设计

Design of Electric Load Simulation System Based on Improved Firefly Algorithm

针对飞机舵机电动负载模拟系统因非线性干扰和多余力导致加载性能不良的问题,采用直线音圈电机改变传统加载方式,并提出一种基于不完全随机萤火虫算法、结合扰动信号前馈控制和多工况专家控制的复合控制策略。在前馈环节,以舵机输出位置信号作为扰动,计算并设计前馈补偿控制器对其进行抑制;在反馈环节,采用多工况专家控制,通过对模拟气动载荷工况和误差信号的判断,设计专家控制规则;同时,利用不完全随机初始化法和动态变步长搜索法对萤火虫算法进行改进,使其完成对专家控制的参数寻优。仿真结果表明,系统在复合控制器作用下的加载精度和加载误差均优于传统PID控制系统,对多余力的抑制程度可达78%,控制性能得到明显提升。

To solve the problem of poor loading performance of the electric load simulation system of aircraft rudder due to nonlinear interference and extra torque,the linear voice coil motor was used to change the traditional loading method,and a compound control strategy based on incomplete random firefly algorithm,combined with disturbance signal feed-forward compensation control and multi-condition expert control was proposed.In the feed-forward part,the position signal output by steering gear is used as disturbance,and the feed-forward compensation controller is calculated and designed to suppress it.In the feedback part,multi-condition expert control is adopted,and expert control rules are designed by judging the simulated pneumatic load conditions and error signals.At the same time,incomplete random initialization method and dynamic variable step size search method are used to improve the firefly algorithm,so that it can complete the optimization of expert-controlled parameters.The results show that the loading accuracy and loading error of the system under the action of the composite controller are better than that of the traditional PID control system,the redundant force can be suppressed up to 78%,and the control performance is significantly improved.