基于混沌万有引力算法的制动缸自适应鲁棒控制

针对实际工况中轮对踏面径向形变挤压机车制动缸活塞及闸瓦产生的时变扰动,设计超螺旋观测器,对其实际值进行估计并对估计误差自适应模糊逼近,以削弱时变扰动。构造基于微分控制律的自适应鲁棒控制器,将其应用于制动缸闸瓦位置控制系统;采用引入混沌变异因子的万有引力算法对控制器参数进行寻优。理论分析及仿真结果表明:系统闭环各状态变量输出有界,滑模面导数收敛于0而滑模面常值收敛;控制输入平滑有界无抖振。

Adaptive Robust Control of Locomotive Brake Cylinder Based on Chaos GSA

Aimed at the time varying perturbation caused by wheel set tread radial deformation squeezing locomotive brake cylinder piston and the brake shoe in actual working conditions, a super twisting observer (STO) was designed. The actual value was estimated, and the estimation error was approached by using adaptive fuzzy approximation method to weaken the time varying perturbation. An adaptive robust controller based on differential control law (DCL) was constructed and applied to the position control system of brake shoe; the controller parameters were optimized by using the gravitation algorithm (GSA) with chaos variation factor. Theoretical analysis and simulation results show that the output of each state variable in the closed loop system is bounded, the derivative of the sliding mode surface converges to 0 and the sliding mode surface is constantly converged; control input is smooth bounded and no chattering.