作者:王月，赵辉，张元，乌伦华
Authors:WANGYue,ZHAOHui,ZHANGYuan,WULunhua摘要:目前的自适应模糊控制方法在实际问题中难以达到良好的效果 。针对这 一 问题 ,提出 一 种随机变论 域 Fuzzy 控制器 。首先 ,基于原有的伸缩因子设计 一种简单、精准的随机伸缩因子 ,并通过仿真对比验证其性能 ;接 着 , 以实际前后圈梁伸缩的长度与理想状态下前后圈梁伸缩的长度期望值的误差和误差的变化作为输入变量 , 引 起旋钮转速变化的多少作为输出变量 ,设计随机变论域 Fuzzy 控制器 ;最后 ,使用仿真实验对比响应曲线图分析得 到 ,设计的模糊控制器性能明显提升 ,并且整个控制过程中超调小、稳定性高、响应时间有明显的缩短 , 实现了医疗 头盔的治疗效果。
Abstract:The current adaptive fuzzy control methods was difficult to achieve good results in practical problems. Aiming at this problem , a fuzzy controller with a random variation domain was proposed. Firstly , a simple and accurate random scaling factor was designed based on the original scaling factor , and its performance was verified by simulation comparison; Then , the error and error change of the expected value of the actual front and rear ring beam expansion and contraction and the length expectation of the front and rear ring beam expansion and contraction under ideal conditions are used as input variables , and the number of knob speed changes are used as the output variable , and the random variable domain Fuzzy controller was designed; Finally , the performance of the fuzzy controller of the design was significantly improved by comparing the response curve of the simulation experiment. And the entire control process is small , high stability , response time has been significantly shortened , to achieve the treatment effect of medical helmets.

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