控制理论(社会学)
PID控制器
模型预测控制
控制器(灌溉)
MATLAB语言
非线性系统
状态空间
控制工程
计算机科学
理论(学习稳定性)
控制系统
工程类
控制(管理)
人工智能
数学
机器学习
温度控制
农学
统计
物理
电气工程
量子力学
生物
操作系统
作者
Zhihao Ke,Huiyang Yi,Penghui Zhang,Yuexin Feng,Le Liang,Zigang Deng
出处
期刊:International Journal of Applied Electromagnetics and Mechanics
[IOS Press]
日期:2024-08-07
卷期号:: 1-24
摘要
A model predictive control (MPC) method based on Q-learning algorithm, named QMPC, is proposed for weakly damped, nonlinear and open-loop unstable magnetic levitation platform (MLP) systems. In addition, the design of MPC controller for the MLP system, the state space of the MLP system airgap, the action space of the predictive horizon and control horizon, the reward and punishment function are also included in this research. Based on the Simscape and MATLAB/Simulink, the joint simulation of the MLP control system is realized. Compared with PID controller and traditional MPC controller, the simulation results show that QMPC controller has better disturbance rejection ability and tracking performance under six working conditions.
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