First , introduction of the basic theories of intelligent control and fuzzy logic control is given . then , the fuzzy control algorithm used in this thesis is described particularly 首先介绍了模糊控制和智能控制的理论基础,并且对课题中采用的两输入、单输出的模糊控制算法进行了详细的描述。
This article establishes a mr damper model with a semi - active suspension , applying fuzzy logic control strategy , using matlab / simulink as a simulation tool to simulate this control system 本文采用模糊推理控制策略,以matlab / simulink为仿真工具,对磁流变阻尼器半主动悬架系统进行了计算机设计及仿真。
So the new design method of vibration control for active suspension system is available . on the basis of the fuzzy logic control , the lms adaptive filter technology is applied 本文针对悬架系统特点,以模糊逻辑控制为基础,将lms自适应滤波技术应用其中,提出一种新型的车辆主动悬架lms自适应模糊控制策略。
This paper studies on the methods of traceing for both still and moving targets , and also focus on the study of pid algorithm , the fuzzy logic control algorithm , and the neural network control algorithm 本文研究了对静止目标的跟踪的方法,控制机器人跟踪目标的pid算法、学习算法、模糊控制算法和神经网络控制算法。