PID控制器
控制理论(社会学)
稳健性(进化)
计算机科学
人工神经网络
航向(导航)
非线性系统
遗传算法
控制工程
理论(学习稳定性)
跟踪(教育)
控制系统
控制(管理)
工程类
人工智能
温度控制
机器学习
化学
电气工程
航空航天工程
物理
基因
量子力学
生物化学
教育学
心理学
作者
Jing Sun,Renqiang Wang,Yu Kang,Keyin Miao,Hua Deng
出处
期刊:Advances in intelligent systems and computing
日期:2017-11-12
卷期号:: 436-442
被引量:2
标识
DOI:10.1007/978-3-319-70990-1_64
摘要
An intelligent PID control algorithm is designed for ship’s course tracking control. As known to all, the deficiencies of traditional PID control is that its parameters cannot be adjusted in real time, and thus control effect is not perfect. To this end, Genetic Algorithm is used to optimize PID parameters in this paper in order to achieve feedback control and to ensure system stability. CMAC neural network is used to achieve feed-forward nonlinear control, and to restrain internal and external disturbance for ensuring satisfied control accuracy and response speed of system. The result of simulations shows that the controller devised in the paper has superior performance and strong robustness.
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