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The basic approach of protecting people from being hurt or killed in an accident is to improve crashworthiness of vehicles. This paper starts with discussing theories and methods for vehicle passive safety design, which included experiential methods, analytic methods, multi-body dynamics methods, crash test methods and the finite element method. Emphasis will be paid to the basic FEM theories and algorithms of impact problems. Topics discussed include the governing equation, element discretization, hourglass control, time integration, material model, shell element algorithms and contact-impact algorithms. For more reliable simulation results, this paper then conducts study on how to accurately get material model parameters by combining the FEM method with experimental method, and develops relevant material test machine and parameter calculating software. Based on that, basic typical impact simulation and test validation study are conducted. On the basis of the above work, the paper studies the thin-shell structures'crashworthiness, which was affected by the following factors: spot-weld features, shell thickness, cross-section and pre-deformation. As to vehicle parts'crashworthiness, the paper conducts simulation study of designing energy-absorbing steering system and adaptive airbag system. A practical energy-absorbing steering wheel is designed as an example. In further depth research, the paper suggests several inverse quantificational methods for vehicle crashworthiness design based on the ideal crash characteristics. The above theories and methods are applied with good results through several practical vehicles' crashworthiness design and improvement.

文中对汽车碰撞安全性的设计理论和方法进行了归类和总结,其中包括经验法、解析法、多刚体动力学法、试验法以及有限元方法等;重点介绍了碰撞有限元法的基本理论和有关算法,涉及到有限元求解控制方程、单元离散、沙漏模态控制、时间积分、材料模型和应力修正、薄壳单元算法以及接触碰撞界面算法等,探讨了有限元计算中的材料模型参数获取技术,开发了相应的材料试验装置及材料模型参数反求软件,在此基础上进行了基本的碰撞仿真算例和试验对比研究;文中通过应用有限元方法研究了薄壁构件的碰撞吸能特性,指出了设计薄壁吸能构件时需要考虑的几个主要影响因素,即焊点、壁厚、横截面和预变形等;在关于车辆部件的碰撞安全性能设计中进行了吸能转向机构和自适应安全气囊的仿真研究,提出了吸能转向机构和自适应安全气囊的仿真研究方法;文中最后探讨了整车碰撞性能的设计与改进方法,提出了以理想碰撞特性为目标,采用分段加速度或者根据碰撞时间进行设计的反推设计法、部件吸能仿真优化设计法等量化设计方法,并通过综合应用文中所讨论的相关技术进行了整车碰撞性能的设计与改进实例研究,所选定的车型是大众化的普通轿车和碰撞安全性基础较差的微型面包车,研究结果表明,本文所提出的设计与改进方法是适用而有效的,具有重要的工程实用意义和价值。

In the third part, the design of the controller is based on sliding mode control theory and the approximation capability of fuzzy systems.

第三部分:考虑到摩擦力、未建模动态和干扰对机器人系统的影响,基于滑模控制原理并利用模糊系统的逼近能力设计控制器,应用李亚普诺夫方法设计自适应律,提出了一种新的基于模糊逻辑的自适应模糊滑模控制方案。

The project combine the NN model consult self adapt modern intelligent control theory and current digital technology and apply this theory to follow adjust the moment of electromotor, which correspond control the moment of many electromotor. Inc a mainframe (adopt speed and current both closed loop system), seven frae electromotor (adopt NN model consult self adapt adjuster).

将神经网络模型参考自适应现代智能控制理论与当前的数字技术相结合应用于电机的力矩跟随调节,协调控制多台电机的力矩,包括:一台主机(采用速度、电流双闭环系统),七台从机(采用神经网络模型参考自适应调节器)。

On the basis of variation characteristics of ship speed error model, a ship speed regulator using the on-line adaptive error model is proposed in this paper. The control scheme is based on back propagation multi-layer perceptrons adaptive neural network in which a modified hyperbolic tangent function is used as the activation function of an auto-tuning neuron and is updated by the steepest descent method.

在分析船舶航速误差模型变化特性的基础上,应用激励函数的自适应神经网络和最陡下降法的非线性优化技术,提出了自适应学习误差模型控制方法,应用于船舶柴油机调速器控制系统。

Compared with deterministic systems, the infinitesimal generator for the system is a second-order differential operation. In this dissertation, we designed the quartic control Lyapunov function and systematically design the state-feedback and output feedback adaptive controller using integrator backstepping methodology. The closed-loop system is asymptotically stable in the large.

与确定性系统相比,随机系统的Lyapunov函数的微分运算包含二阶导,所以设计适当形式的控制Lyapunov函数十分关键,本文设计了四次型的控制Lyapunov函数,并应用积分反推技术,给出了状态反馈及输出反馈自适应控制器和鲁棒自适应控制器的设计方法,证明了闭环系统概率意义下的渐近稳定性和有界稳定性。

Through the characteristic parameters, the system's real-time moment of inertia is given. Then golden section adaptive control law and logic derivative control law both based on moment of inertia are designed. The two kind of control laws are combined to control the attitude of spacecraft and their simulation results are compared with the ones of PD control law which is designed based on the certainly-known system model. The results show that this adaptive control law is effective on the kind of time-variable system studied in this paper.

根据特征模型的参数推算了系统实时的转动惯量,设计了基于转动惯量的黄金分割自适应控制器和逻辑微分控制器,将这两种控制器相结合对带有可伸缩挠性附件的刚体进行姿态控制,仿真结果与基于确知系统模型所设计的变系数PD控制器相对照,表明了该自适应方法控制一类时变系统的有效性。

Simulation results show that the proposed method has good performance in time delay predictation of networked control systems, and the plant output can trace desired output effectively.(2)By combining node buffer queuing management and adaptive predictive control, a novel approach on predictive control of NCS is proposed.

在本方法中,使用了直接辨识控制器参数的自适应预测控制算法,该算法不需要在线求解Diophantine方程,减少了计算时间,较好地保证了NCS的实时性;在此基础上,又进一步提出了一种改进型的自适应预测控制算法,不仅避免了在线求解Diophantine方程,并且也不需要进行矩阵求逆运算,使算法的实时性大大提高。

The thesis adduces a discrete adaptive sliding mode algorithm for nonlinear discrete uncertain systems, and use adaptive laws to estimate uncertainty of the algorithm. So it largely reduces the priori information of the systems and become a simple easy method.

本文针对非线性离散不确定系统的变结构控制,提出了一种离散自适应滑模控制方法,利用自适应率对算法的不确定部分进行了估计,从而减少了先验知识,设计简单,容易实现。

The thesis proposes a latency jittering adaptive controlling algorithm with the end-value forecasting function. Besides automatically adjusting the latency jittering value, the algorithm can also automatically adjust the value of TokenRate, PeakBandwidth and other QoS values.

提出了一种基于IP网络的优先级调度,自适应QoS收缩算法,自适应QoS协商机制和自适应QoS接入控制流程;基本思想是基于RSVP,在提出QoS请求时进行QoS映射,然后启动适应性函数和资源管理函数进行协商,直到获得一组在当前资源状况下最佳的QoS指标。

Intermediate heat cycle can be reduced because the tail blade turbine steam humidity and reduce steam consumption. improve plant efficiency and thermal cycling in the unit were popular, however, Reheat temperature control system with nonlinear their targets, inertia, the characteristics of delay, Power Plant to become more difficult to control the system-paper fuzzy control theory and fuzzy logic, reconsidered conventional PID control law on the basis of the study and intelligent fuzzy PID control, the 300MW units Reheat fuzzy control process using adaptive PID control, the introduction of load feedforward. design configuration, the final design complex adaptive feedforward cascade control system and MATLAB for simulation, simulation results show that the response speed, Robust control and accuracy, the system has considerable advantages Unit to improve the efficiency and reduce the operational workload.

中间再热循环技术因其可以降低汽轮机尾部叶片的蒸汽湿度和降低汽耗,提高电厂的热循环效率而在单元机组中被普遍采用,然而,再热气温控制系统因其对象具有非线性,大惯性,大迟延等特点,成为火电厂较难控制的系统之-,本文运用模糊控制理论和模糊逻辑推理,在重新认识常规PID控制规律的基础上探讨了PID与智能模糊控制相结合,在电厂300MW发电机组再热模糊控制过程中使用自适应PID控制,引入负荷前馈,设计组态,最终设计出自适应复合型前馈串级控制系统,并在MATLAB中进行仿真模拟,仿真结果表明,在响应速度,鲁棒性和控制精度等方面,此系统都具有相当大的优越性,有利于提高机组的效率和减轻运行人员的劳动负荷。

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然而,要让一个真正的引用,你需要提供详细的个人和财务信息。