噪声与振动控制2017，Vol.37Issue(4)：20-24,5.DOI:10.3969/j.issn.1006-1355.2017.04.005
主动悬架LQG控制加权系数果蝇优化方法
Optimization of Weighting Factors for LQG Controller of Active Suspensions Based on FOA Algorithm
摘要
Abstract
In the design of LQG controller for vehicle active suspension, the weighting factors of the objective function of suspension performance index are usually treated as a fixed value. In order to make the system performance better and improve the design efficiency and the performance of the LQG controller, the optimization method of weighting factors by using Fruit Fly Optimization Algorithm (FOA) is proposed. This method has the advantages of fewer parameters, less computer time consuming, high precision of optimization, and easy adjusting. The simulation results show that compared with the traditional LQG control, the proposed optimization method of weighting factors by using FOA of LQG control can improve the performance of the active suspension more effectively.关键词
振动与波/主动悬架/LQG控制/果蝇算法/加权系数Key words
vibration and wave/active suspension/LQG control/fruit fly optimization algorithm (FOA)/weighting factors分类
交通工程引用本文复制引用
李冰林,孙宁..主动悬架LQG控制加权系数果蝇优化方法[J].噪声与振动控制,2017,37(4):20-24,5.基金项目
江苏省高校自然科学基金资助项目(13KJB580006) （13KJB580006）
江苏省自然科学基金资助项目(BK20130977) （BK20130977）
