基于优化模糊控制的运动平台体感算法研究  

Research on Motion Platform Motion Sensing Algorithm Based on Optimized Fuzzy Control

作　　者：杨俊飞 王学文[1] 魏洁英[1] 朱锐 魏国强 刘璐 YANG Junfei;WANG Xuewen;WEI Jieying;ZHU Rui;WEI Guoqiang;LIU Lu(North Automatic Control Technology Institute,Taiyuan 030006,China)

机构地区：[1]北方自动控制技术研究所,太原030006

出　　处：《火力与指挥控制》2025年第3期108-116,共9页Fire Control & Command Control

摘　　要：针对装甲车辆驾驶模拟器洗出算法中参数固定和模拟器物理工作空间利用率低以及逼真度不足的问题,提出了一种基于优化模糊控制的改进洗出算法,使用遗传算法优化模糊控制器隶属函数和模糊规则,模糊控制器根据驾驶员的运动感觉误差以及平台在工作空间中的位置,实时生成校正信号,提高了运动保真度。在MATLAB/simulink中对改进算法建模仿真,仿真结果表明,改进洗出算法降低感觉误差,大幅提高模拟器工作空间利用率和运动的逼真度。As for the issues of fixed parameters,low utilization rate of physical workspace,and insufficient fidelity in the washing out algorithm of armored vehicle driving simulators,an improved washout algorithm based on optimized fuzzy control is proposed,the genetic algorithm is used to optimize the membership function and fuzzy rules of the fuzzy controller.The fuzzy controller generates real-time correction signals based on the driver’s motion perception errors and the position of the platform in the workspace,the motion fidelity is improved.The improved algorithm is modeled and simulated in MATLAB/Simulink,and the simulation results show that the improved washout algorithm can reduce sensory errors,significantly improve the workspace utilization rate and motion fidelity of the simulator.

关 键 词：驾驶模拟器 洗出算法 模糊控制 遗传算法 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]