半潜式航行器运动特性研究

论文研究了半潜式航行器的运动特性,建立了半潜式航行器的运动学模型,并从深度控制和回转航行两个方面对半潜式航行器的运动特性进行半实物仿真。半实物仿真结果表明：前水平舵是影响深度控制的主要因素,并得出前水平舵舵角和深度的对应关系;回转航行研究了航行器的垂直舵角、航速和回转半径的关系,得出了在一定航速下,不同垂直舵角下的回转半径。此研究准确把握了半潜式航行器的运动规律,为半潜式航行器的设计以及精确控制提供了理论基础。     

Real-time model predictive control of connected electric vehicles

ABSTRACT

Electric Vehicles (EVs) motors develop high torque at low speeds, resulting in a high rate of acceleration with the added advantage of being fitted with smaller gearboxes. However, a rapid rise of torque in EVs fitted with central drive powertrains can create undesired torsional oscillations, which are influenced by wheel slip and flexibility in the halfshaft. These torsional oscillations in the halfshaft lead to longitudinal oscillations in the vehicle, thus creating problems with regard to comfort and drivability. The significance of using wheel slip in addition to halfshaft torsion for design of anti-jerk controllers for EVs has already been highlighted in our previous research. In this research, we have designed a look-ahead model predictive controller (LA-MPC) that calculates the required motor torque demand to meet the dual objectives of increased traction and anti-jerk control. The designed LA-MPC will improve drivability and energy consumption in connected EVs. The real-time capability of the LA-MPC has been demonstrated through hardware-in-the-loop experiments. The performance of the LA-MPC has been compared to other controllers presented in the literature. A validated high-fidelity longitudinal-dynamics model of the Rav4EV, which is the test vehicle of our research has been used to evaluate the controller.     

HEV功率级硬件在环测试系统开发及试验研究

针对一款新型混合动力电动汽车 （Hybrid Electric Vehicle,HEV）,结合其动力传动系统的工作原理,设计了考虑实物电磁阀的功率级硬件在环测试系统的总体方案,开发了功率级硬件在环测试系统的硬件系统和软件系统。硬件方面,重点开发了比例电磁阀的电流检测模块。软件方面,基于Matlab/Simulink和ECUCoder软件研究了快速原型控制器中比例电磁阀驱动信号和模拟信号的底层接口软件。利用两种典型动态协调控制策略对所开发的功率级硬件在环系统的测试功能进行了验证。     

机车自动过分相装置硬件在环仿真系统研究

对硬件在环仿真系统进行了分析研究。介绍了它的整体功能和结构。采用基于图形化编程语言lab VIEW编写软件,利用VISA进行串行口编程和EPP增强型并口扩展8255的方法,实现了机车运行状态的模拟 和运行数据的在环仿真。     

An investigation of the effects of pneumatic actuator design on slip control for heavy vehicles

Progress in reducing actuator delays in pneumatic brake systems is opening the door for advanced anti-lock braking algorithms to be used on heavy goods vehicles. However, little has been published on slip controllers for air-braked heavy vehicles, or the effects of slow pneumatic actuation on their design and performance. This paper introduces a sliding mode slip controller for air-braked heavy vehicles. The effects of pneumatic actuator delays and flow rates on stopping performance and air (energy) consumption are presented through vehicle simulations. Finally, the simulations are validated with experiments using a hardware-in-the-loop rig. It is shown that for each wheel, pneumatic valves with delays smaller than 3 ms and orifice diameters around 8 mm provide the best performance.     

射频仿真系统中的弹目偏角修正方法研究

射频仿真系统中导弹转台作为导弹姿态模拟器引入对试验结果的影响是多方面的,文章针对导引头安装于转台产生不同心度的原因进行了分析,通过建立的临时坐标系与导引头坐标系之间几何关系,得出弹目偏角的具体修正算法,该方法使多种因素带来的误差得以量化处理。将修正后的角度信息引入仿真试验将会消除由不同心度带来的误差量。     

交通控制硬件在环仿真综述

讨论硬件在环的概念和基本原理,回顾国内外的发展历程,着重强调信号机接口设备的重要作用,并结合国产信号机的特性,提出三条交通控制硬件在环设计途径并分析技术要点.     

面向HIL应用的大功率柴油机半物理建模方法

为实现控制器硬件在环(Hardware-in-the-loop,HIL)测试,根据半物理建模方法,基于Matlab/Simulink建立了大功率高压共轨柴油机实时仿真模型。介绍了柴油机关键部件的建模原理,并进行了起动、怠速工况和测功机工况下的仿真试验,通过对比分析发现,仿真结果与试验数据误差小于6%,表明所建柴油机模型能够完成控制器控制功能的验证,可以应用于发动机控制策略的前期开发和控制器的HIL测试,模型具有较高的可靠性和通用性。     

A novel method for identifying inertial parameters of electric vehicles based on the dual H infinity filter

ABSTRACT

Accurate identification of vehicle inertial parameters is essential to the design of vehicle dynamics control systems. In this paper, a novel vehicle inertial parameter identification method based on the dual H infinity filter (DHIF) for electric vehicles (EVs) is proposed. The filter algorithm employs a nonlinear longitudinal vehicle model with three vehicle states. A hierarchical framework is engaged by the DHIF to estimate the vehicle states and inertial parameters concurrently. In order to minimise the disturbance of unknown noise, the vehicle states are estimated by using the linear H infinity filter (LHIF), while the nonlinear H infinity filter (NHIF) utilises the observed states to identify the vehicle inertial parameters. Finally, the proposed estimation method is verified and compared through the dSPACE based hardware-in-the-loop (HIL) simulation experiments. The results indicate that the DHIF-based estimation method is effective to identify the vehicle inertial parameters with high precision, remarkable robustness, and quick convergence.     

半实物仿真技术研究现状及发展趋势

随着计算机技术的飞速发展,半实物仿真技术已成为现代工程技术的重要支撑力量,广泛应用于航天、电工、化工、通信,特别是军事等领域方面的工程设计研究,成为现代高技术的代表之一。本文介绍了半实物仿真技术的主要特征和发展现状,并简要描绘了半实物仿真的发展趋势。