基于不完全微分的模糊自适应PID算法速度优化控制系统设计  

Design of a Speed Optimization Control System Based on Incomplete Differentiation Fuzzy Adaptive PID Algorithm

作　　者：熊中刚 刘小雍 贺娟 邹江 许宁 李青 XIONG Zhong-gang;LIU Xiao-yong;HE Juan;ZOU Jiang;XU Ning;LI Qing(Department of Mechanical Engineering,Guilin University of Aerospace Technology,Guilin Guangxi 541004,China;Department of Engineering and Technology,Zunyi Normal University,Zunyi ,Guizhou 563002,China;Department of Physics and Electronic Science,Zunyi Normal University,Zunyi ,Guizhou 563002,China)

机构地区：[1]桂林航天工业学院机械工程学院,广西桂林541004 [2]遵义师范学院工学院,贵州遵义563002 [3]遵义师范学院物理与电子科学学院,贵州遵义563002

出　　处：《西南大学学报（自然科学版）》2018年第12期173-178,共6页Journal of Southwest University(Natural Science Edition)

基　　金：国家自然科学基金项目(11464052,51765014,51275060);贵州省教育厅青年基金项目(黔教合KY字[2016]254,[2017]254号);贵州省科技厅项目(黔科合LH字[2016]7003号,[2016]7001号,[2015]7008号,[2015]7012号)

摘　　要：为提高平地机行走作业速度的控制性能,协调解决外界干扰信号对系统造成的影响以及行走作业速度精度滞后和不稳定性问题、将一阶惯性环节加入模糊自适应PID控制器的微分环节中,采用单片机作为行走作业速度的控制中心,提出了基于不完全微分的模糊自适应PID算法速度优化控制系统.最后通过Matlab的Simulink仿真软件,分别将不带PID控制、PID控制和不完全微分模糊自适应PID控制3种方式用于对人为给定速度干扰信号的控制仿真测试,验证了不完全微分模糊自适应PID算法的有效性和可靠性.In order to improve the control performance of the walking speed of the grader,overcome the influence of external interference signals on the system,and solve the problems of precision lag and instability of the walking speed,the first-order inertial link was added,in this study,into the differential link of the fuzzy adaptive PID controller,the single chip computer was used as the control center of walking speed,and a speed optimization control system based on incomplete differentiation fuzzy adaptive PID algorithm was designed.Finally,by using Matlab’s Simulink simulation software,three methods(non-PID control,PID control and incomplete differential fuzzy adaptive PID control)were respectively applied to the control simulation test of the artificial speed disturbance signal,which verified the effectiveness and reliability of the incomplete differential fuzzy adaptive PID algorithm.

关 键 词：平地机 速度优化控制 不完全微分 PID算法 模糊自适应 

分 类 号：TP273.2[自动化与计算机技术—检测技术与自动化装置]