文章以前轮转向叉车为研究对象,在对电动叉车电动助力转向(electric power steering,EPS)系统进行动力学分析和建立整车二自由度模型的基础上,提出EPS系统鲁棒H∞控制器,并运用遗传算法对控制器的加权函数参数进行优化,使驾驶员获得满...文章以前轮转向叉车为研究对象,在对电动叉车电动助力转向(electric power steering,EPS)系统进行动力学分析和建立整车二自由度模型的基础上,提出EPS系统鲁棒H∞控制器,并运用遗传算法对控制器的加权函数参数进行优化,使驾驶员获得满意的路感,系统的鲁棒性、行驶安全性得到提高。根据TFC20叉车的实际数据,进行Matlab在不同工况、不同控制方法下的对比仿真实验,从而验证了运用遗传算法优化的鲁棒控制器可以更好地给叉车提供可跟随的电机助力,确保系统的操作轻便性和稳定性。展开更多
This paper presents the problem of robust H∞?load frequency controller design and robust H￥ based approach called advanced frequency control (AFC). The objective is to split the task of balancing frequency ...This paper presents the problem of robust H∞?load frequency controller design and robust H￥ based approach called advanced frequency control (AFC). The objective is to split the task of balancing frequency deviations introduced by renewable energy source (RES) and load variations according to the capabilities of storage and generators. The problem we address is to design an output feedback controller such that, all admissible parameter uncertainties, the closed-loop system satisfies not only the prespecified H∞? norm constraint on the transfer function from the disturbance input to the system output. The conventional generators mainly balance the low-frequency components and load variations while the energy storage devices compensate the high- frequency components. In order to enable the controller design for storage devices located at buses with no generators, a model for the frequency at such a bus is developed. Then, AEC controllers are synthesized through decentralized static output feedback to reduce the complexity. The conditions for the existence of desired controllers are derived in terms of a linear matrix inequality (LMI) algorithm is improved. From the simulation results, the system responses with the proposed controller are the best transient responses.展开更多
文摘文章以前轮转向叉车为研究对象,在对电动叉车电动助力转向(electric power steering,EPS)系统进行动力学分析和建立整车二自由度模型的基础上,提出EPS系统鲁棒H∞控制器,并运用遗传算法对控制器的加权函数参数进行优化,使驾驶员获得满意的路感,系统的鲁棒性、行驶安全性得到提高。根据TFC20叉车的实际数据,进行Matlab在不同工况、不同控制方法下的对比仿真实验,从而验证了运用遗传算法优化的鲁棒控制器可以更好地给叉车提供可跟随的电机助力,确保系统的操作轻便性和稳定性。
文摘This paper presents the problem of robust H∞?load frequency controller design and robust H￥ based approach called advanced frequency control (AFC). The objective is to split the task of balancing frequency deviations introduced by renewable energy source (RES) and load variations according to the capabilities of storage and generators. The problem we address is to design an output feedback controller such that, all admissible parameter uncertainties, the closed-loop system satisfies not only the prespecified H∞? norm constraint on the transfer function from the disturbance input to the system output. The conventional generators mainly balance the low-frequency components and load variations while the energy storage devices compensate the high- frequency components. In order to enable the controller design for storage devices located at buses with no generators, a model for the frequency at such a bus is developed. Then, AEC controllers are synthesized through decentralized static output feedback to reduce the complexity. The conditions for the existence of desired controllers are derived in terms of a linear matrix inequality (LMI) algorithm is improved. From the simulation results, the system responses with the proposed controller are the best transient responses.
