不同等级路面中的车辆半主动悬架改进粒子群LQG控制系统分析
Analysis of Improved Particle Swarm Optimization LQG Control of Vehicle Semi Active Suspension on Different Road Grades
张娜 1宁佳明 2赵强 3姜鸿瑞2
作者信息
- 1. 黑龙江科技大学电气与控制工程学院,黑龙江 150022;哈尔滨工程大学计算机科学与技术学院,黑龙江 150001
- 2. 黑龙江科技大学电气与控制工程学院,黑龙江 150022
- 3. 东北林业大学机电工程学院,黑龙江 150040
- 折叠
摘要
阐述针对LQG控制器用于半主动悬架存在加权系数依靠人为调节的问题,提出一种基于改进粒子群算法的LQG控制方法.该算法根据适应度函数值动态调整惯性权重,通过tanh激活函数动态调整学习因子,提高其全局搜索能力和收敛速度,求得更具有适应性的LQG控制矩阵系数,仿真验证其有效性.
Abstract
This paper describes the problem that the weighting coefficient of LQG controller used in semi-active suspension depends on manual adjustment,and a LQG control method based on improved particle swarm optimization algorithm.The algorithm dynamically adjusts the inertia weight according to the fitness function value,and dynamically adjusts the learning factor through the tanh activation function,which improves its global search ability and convergence speed,and obtains the more adaptive LQG control matrix coefficient.The simulation verifies its effectiveness.
关键词
半主动悬架/不同路面等级/粒子群算法/LQG控制Key words
semi-active suspension/different road levels/particle swarm optimization algorithm/LQG control引用本文复制引用
出版年
2024
NETL
NSTL
万方数据