共查询到19条相似文献,搜索用时 140 毫秒
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悬架系统作为汽车底盘的主要组成部分,它的性能直接影响到车辆的平顺性及操作稳定性。本文对主动悬架系统不同的控制技术进行了整理,而各种不同的控制技术并不独立,各自之间有一定的关联。目前悬架系统由原来的被动悬架技术向主动悬架系统进行转移,本文为研究主动悬架系统的人员提供一定的参考。 相似文献
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为解决汽车转向工况下悬架系统垂向振动控制和侧倾控制存在的协调问题,提出了基于功能分配的主动悬架协调控制策略,设计了垂向运动控制器、侧倾控制器和协调控制器,通过协调控制器对垂向运动控制器和侧倾控制器进行功能分配。在控制策略的实现过程中,利用Adams建立整车动力学模型,在Simulink中设计控制系统,搭建Adams/Simlink主动悬架整车联合仿真平台,并通过汽车二自由度线性模型验证该平台的可行性。在C级路面上进行了直线行驶和角阶跃输入两种工况的仿真实验,对算法进行验证。结果显示,通过协调控制器进行功能分配的主动悬架控制系统,能很好的协调垂向控制器和侧倾控制器,提高了汽车的综合性能。 相似文献
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PID-Fuzzy混合控制汽车主动悬架 总被引:1,自引:0,他引:1
建立了一个基于PID-Fuzzy混合控制的汽车主动悬架系统模型。该模型是一个四自由度的线性系统,受到了路面的不规则激励。主动控制是PID控制和模糊控制两种控制方法的叠加。PID控制使用车身的垂直加速度作为输入变量,模糊控制作为PID控制的补充,以车身旋转角加速度和旋转角速度作为输入变量。仿真结果显示文章提出的主动悬架系统对于车身的减振是非常有效的。 相似文献
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针对汽车四分之一主动悬架模型,提出免疫模糊控制策略。该策略兼有模糊控制的快速简单和免疫控制的全局搜索最优解的优点,并可同时考虑车身垂直加速度、悬架动行程和轮胎动载等多种因素。结果表明,与独立的免疫控制和模糊控制比较,该免疫模糊控制策略的综合性能最优。 相似文献
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汽车主动悬架的最优控制研究,首要的问题是建立车辆的1/4主动悬架模型。通过对车辆1/4悬架模型进行数学建模分析,利用最优控制理论求解目标性能函数,并设计最优控制器,利用MATLAB下的模块SIMULINK进行仿真得出性能数据,通过比较得出,运用最优控制的主动悬架的各项性能都比被动悬架提高较多。说明最优控制方法在主动悬架设计中有良好的作用。该设计从数学建模到最优设计以及最后的仿真数值分析具有一定的实际参考价值。 相似文献
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针对汽车四分之一主动悬架模型,提出免疫模糊控制策略.该策略兼有模糊控制的快速简单和免疫控制的全局搜索最优解的优点,并可同时考虑车身垂直加速度、悬架动行程和轮胎动载等多种因素.结果表明,与独立的免疫控制和模糊控制比较,该免疫模糊控制策略的综合性能最优. 相似文献
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车辆主动悬架的控制策略及物理实现 总被引:2,自引:0,他引:2
本文初步探讨了最优控制、天棚阴尼控制、自校正控制、模糊控制以及神经网络控制等策略在汽车上主动悬架中的应用情况,并以电控悬架说明了主动悬架的实现问题。 相似文献
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This paper proposes a novel constraint adaptive backstepping based tracking controller for nonlinear active suspension system with parameter uncertainties and safety constraints. By introducing the virtual control input and reference trajectories, the adaptive control law is developed to stabilize both of the vertical and pitch motions of vehicle body using backstepping technique and Lyapunov stability theory, and further to track the predefined reference trajectories within a finite time, which not only ensure the safety performance requirements, but also achieve improvements in riding comfort and handling stability of vehicle active suspension system. Next, the stability analysis on zero dynamics error system is conducted to ensure that all the safety performance indicators are all bounded and the corresponding upper bounds are estimable. Finally, a numerical simulation is provided to verify the effectiveness of the proposed controller and to address the comparability between the classical Barrier–Lyapunov Function based adaptive tracking controller and the proposed controller. 相似文献
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This paper proposes adaptive control designs for vehicle active suspension systems with unknown nonlinear dynamics (e.g., nonlinear spring and piece-wise linear damper dynamics). An adaptive control is first proposed to stabilize the vertical vehicle displacement and thus to improve the ride comfort and to guarantee other suspension requirements (e.g., road holding and suspension space limitation) concerning the vehicle safety and mechanical constraints. An augmented neural network is developed to online compensate for the unknown nonlinearities, and a novel adaptive law is developed to estimate both NN weights and uncertain model parameters (e.g., sprung mass), where the parameter estimation error is used as a leakage term superimposed on the classical adaptations. To further improve the control performance and simplify the parameter tuning, a prescribed performance function (PPF) characterizing the error convergence rate, maximum overshoot and steady-state error is used to propose another adaptive control. The stability for the closed-loop system is proved and particular performance requirements are analyzed. Simulations are included to illustrate the effectiveness of the proposed control schemes. 相似文献
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Young Bong Seo Jae Weon Choi Guang Ren Duan 《Journal of Mechanical Science and Technology》2006,20(7):981-992
In this paper, a lateral vehicle control using the concept of control configured vehicle (CCV) is presented. The control objectives
for the lateral dynamics of a vehicle include the ability to follow a chosen variable without significant motion change in
other specified variables. The analysis techniques for decoupling of the aircraft motions are utilized to develop vehicle
lateral control with advanced mode. Vehicle lateral dynamic is determined to have the steering input and control torque input.
The additional vehicle modes are also defined to using CCV concept. We use right eigenstructure assignment techniques and
command generator tracker to design a control law for an lateral vehicle dynamics. The desired eigenvectors are chosen to
achieve the desired decoupling (i.e., lateral direction speed and yaw rate). The command generator tracker is used to ensure
steady-state tracking of the driver’s command. Finally, the developed design is utilized by using the lateral vehicle dynamic
with four wheel. 相似文献
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提出一种新型多自由度磁悬浮球形主动关节,对关节产生磁悬浮力和电磁转矩的机理进行了研究,从关节定子和转子之间的气隙磁能着手,即根据气隙磁能建立主动关节的机电能量转换关系,推导出了驱动关节旋转的电磁转矩和支撑关节的悬浮电磁力;分析了磁悬浮球形主动关节旋转与悬浮的控制关系,通过位移传感器检测转子的偏移信号,经过滤波、放大及悬浮控制器等环节的处理变换成电流信号,反馈到绕组控制输入端与输入的转矩电流进行叠加以改变定子绕组中电流的大小,从而实现了对球形主动关节旋转与悬浮的精确控制,并提出了对其的综合控制策略及控制原理。 相似文献