基于T-S模糊模型的Kawakami混沌系统的控制

研究了离散Kawakami混沌系统的模糊控制问题,利用单点模糊化、乘积推理和中心平均去模糊化模糊推理方法将Kawakami系统化为T-S模糊模型.在用T-S模糊模型重构了系统结构的基础上,利用反馈控制思想,借助于离散李亚普诺夫稳定性理论,给出了离散T-S模糊模型渐近稳定的充分条件,并设计出了相应的状态反馈控制器.利用线性矩阵不等式,进一步求出了模糊控制器的参数.仿真结果验证了该控制方法的有效性.     

公路施工企业信用评价与招投标挂钩奖励问题探讨

交通运输部制定的《公路工程标准施工招标资格预审文件》和《公路工程标准施工招标文件》中提出,企业的市场信用评价结果与招投标挂钩,并在多方面对信用评级高的企业给予奖励。该措施存在一些不足之处,应从上下位法规统一、平稳过渡等方面进行改进和完善。     

水下超高速航行体非线性鲁棒控制器设计

水下航行体在高速运动时,其表面大部分被空泡包裹.航行体尾部与空泡壁的相互作用力的存在使航行体模型具有较强的非线性.文中将基于反馈线性化的非线性鲁棒控制策略应用于水下超高速航行体纵向运动控制.反馈线性化可以实现航行体动力学模型的非线性解耦,得到系统精确线性化模型.针对线性化模型设计系统鲁棒控制器,解决由于模型不准确、参数摄动等引起的鲁棒性问题,仿真结果表明,所设计的鲁棒控制器是有效的.     

基于AMESIM的XZ5110型垃圾车刮板操纵系统仿真

应用AMESim对XZ5110型后装压缩式垃圾车装填机构刮板控制系统进行建模仿真,对比分析开环、闭环装填机构刮板反馈控制系统的运动特性,仿真结果表明闭环反馈控制系统可明显改善刮板运动状况。可为提高装填机构的设计水平提供参考依据。     

基于光反馈的信号灯故障检测系统研究

针对传统信号控制器的信号灯故障检测不准确的问题而设计的信号灯终端光反馈故障检测系统,主要采用信号灯终端光反馈、光纤传输和光电转换技术,将信号灯的输出状态直接反馈到信号控制器,实现对信号灯故障的可靠检测。通过信号控制器对故障信号进行处理,并利用数字化传送,具有纠错、容错的功能,实现了对信号灯运行状态的准确、可靠检测及控制。     

厦门东通道海底隧道位移判定基准研究

由于量测技术、计算机技术的发展和渗透,隧道结构体系的反馈设计方法有了很大的发展。所谓信息反馈设计,实质上是通过施工过程中的大量信息（情报）来指导设计和施工,以期获得最优隧道结构物的一种方法。在信息反馈中,位移量测基准的设定是一个关键问题,为此,结合厦门东通道海底隧道实际情况,对位移判定基准进行了研究,以便现场使用。     

基于1/2车辆模型的主动悬挂滤波输出反馈控制研究

基于1 2车辆模型,在分析被动悬挂弹簧和阻尼系数对车辆舒适性影响的基础上,提出并深入研究滤波输出反馈控制策略。研究表明,在对悬挂弹簧和阻尼系数进行主动滤波的基础上,采用输出反馈控制,能大幅度衰减车辆在低于和高于车轮频率范围内的车体起伏和俯仰运动,提高车辆的乘坐舒适性。仿真结果演示了主动悬挂的性能并验证了结论。     

Robust state feedback stabilization of articulated steer vehicles

In this work, a full-state feedback controller is designed to prevent the oscillatory instability or snaking behaviour of an articulated steer vehicle. To design the controller, first, a linearized model of the vehicle is developed and analyzed to identify the most important uncertain tire parameters with regard to the snaking mode. By using this linearized model, the equations of motion are represented in the form of a polytopic system, which depends affinely on the most important uncertain tire parameters. Then, by solving some linear matrix inequalities, both the Lyapunov and state feedback matrices for the robust stabilization of the vehicle are found. The performance of the resulting controller is evaluated by conducting several simulations based on the linearized model. To verify the results from the linearized model analysis, some simulations are also done by a virtual prototype of the vehicle in ADAMS. The results based on the linearized model are reasonably consistent with those from the simulations in ADAMS. They show that the controller can effectively stabilize the vehicle during the snaking mode in different driving conditions.     

Designing H∞/GH 2 static-output feedback controller for vehicle suspensions using linear matrix inequalities and genetic algorithms

This paper presents an approach to design the H_∞/GH ₂ static-output feedback controller for vehicle suspensions by using linear matrix inequalities (LMIs) and genetic algorithms (GAs). Three main performance requirements for an advanced vehicle suspension are considered in this paper. Among these requirements, the ride-comfort performance is optimized by minimizing the H_∞ norm of the transfer function from the road disturbance to the sprung mass acceleration, while the road-holding performance and the suspension deflection limitation are guaranteed by constraining the generalized H₂ (GH ₂) norms of the transfer functions from the road disturbance to the dynamic tyre load and the suspension deflection to be less than their hard limits, respectively. At the same time, the controller saturation problem is considered by constraining its peak response output to be less than a given limit using the GH ₂ norm as well. A four-degree-of-freedom half-car model with active suspension system is applied in this paper. Several kinds of H_∞/GH ₂ static-output feedback controllers, which use the available sprung mass velocities or the suspension deflections as feedback signals, are obtained by using the GAs to search for the possible control gain matrices and then resolving the LMIs together with the minimization optimization problem. These designed H_∞/GH ₂ static-output feedback controllers are validated by numerical simulations on both the bump and the random road responses which show that the designed H_∞/GH ₂ static-output feedback controllers can achieve similar or even better active suspension performances compared with the state-feedback control case in spite of their simplicities.