焦炉设备安装技术浅析

结合工程实例,从炉柱制作、护炉铁件安装、集气设备安装、废气设备安装、轨道安装等方面详细阐述了焦炉主要设备安装施工技术,提出了安装过程中的质量控制措施。     

Study on control strategy of CAN bus network based on event triggered mode

In order to reduce the load rate of CAN bus and improve the real-time performance of control system, CAN bus control system of a pure electric vehicle is studied. Communication messages of each node are optimized and redefined by sorting the message into three types: control message, status message and alarm message. Event triggered mode is added to the communication way of CAN bus, and the communication control strategy of the vehicle is made. It is proved that CAN bus load rate of control system is reduced after optimization, and the real-time performance of communication is improved effectively.     

Genetic-fuzzy HEV control strategy based on driving cycle recognition

A genetic-fuzzy HEV control strategy based on driving cycle recognition (DCR) was built. Six driving cycles were selected to represent different traffic conditions e.g. freeway, urban, suburb. A neural algorithm was used for traffic condition recognition based on ten parameters of each driving cycle. The DCR was utilized for optimization of the HEV control parameters using a genetic-fuzzy approach. A fuzzy logic controller (FLC) was designed to be intelligent to manage the engine to work in the vicinity of its optimal condition. The fuzzy membership function parameters were optimized using the genetic algorithm (GA) for each driving cycle. The result is that the DCR_fuzzy controller can reduce the fuel consumption by 1.9%, higher than only CYC_HWFET optimized fuzzy (0.2%) or CYC_WVUSUB optimized fuzzy (0.7%). The DCR_fuzzy method can get the better result than only optimizing one cycle on the complex real traffic conditions.     

Design and performance analysis of networked control systems with random delay

The design and performance analysis of networked control systems with random network delay in the forward channel is proposed, which are described in a state-space form. A new control scheme is used to overcome the effects of network transmission delay, which is termed networked predictive control (NPC). Furthermore, three different ways to choose control input are discussed and the performances are analyzed, respectively. Both real-time simulations and practical experiments show the effectiveness of the control scheme.     

Global robust optimal sliding mode control for uncertain affine nonlinear systems

The problem of robustifying linear quadratic regulators (LQRs) for a class of uncertain affine nonlinear systems is considered. First, the exact linearization technique is used to transform an uncertain nonlinear system into a linear one and an optimal LQR is designed for the corresponding nominal system. Then, based on the integral sliding mode, a design approach to robustifying the optimal regulator is studied. As a result, the system exhibits global robustness to uncertainties and the ideal sliding mode dynamics is the same as that of the optimal LQR for the nominal system. A global robust optimal sliding mode control (GROSMC) is realized. Finally, a numerical simulation is demonstrated to show the effectiveness and superiority of the proposed algorithm compared with the conventional optimal LQR.     

基于ZigBee的车载交通灯监视系统设计

为解决驾驶员在城市道路十字路口遭遇前方大车遮挡、恶劣天气及眩光时,出现交通灯"盲视"现象而引发交通事故的问题,利用ZigBee灵活的组网功能,在城市道路的十字路口安装交通灯监视系统的主控端,在各个车辆上安装车载终端,形成基于ZigBee的车载交通灯监视系统。系统主控端承担网络管理和交通灯信息发送任务,车载终端负责交通灯信息数据接收、交通灯信息LCD显示和交通灯相位切换前语音提示驾驶员的任务,两者通过ZigBee进行无线通信,圆满地解决了驾驶员的"盲视"问题,极大地提升了十字路口的安全通行率。     

被动式电液加载系统的变刚度自适应控制

建立了被动式电液加载系统的数学模型,分析由位置扰动和系统自身结构引起的稳态误差,讨论了负载刚度和液压刚度在系统主要行程范围内变化对系统动态特性的影响。采用高阶系统跟随低阶参考模型的自适应控制方法,在选择二阶参考模型的固有频率时综合考虑了两方面的因素,既发挥了液压动力机构响应频率高的优势又确定了合理的频宽。运用Narendra稳定自适应控制理论设计自适应控制器,建立增广误差模型,选取Lyapunov能量函数并导出能使系统全局渐进稳定的自适应律。利用Simulink软件进行数值仿真,仿真结果表明,加入自适应控制器后,系统能稳定地跟随参考模型,两者误差快速收敛为零,并且系统在5组不同参数设置下的动态响应性能几乎一致,上升时间和调整时间分别为4.8ms和14.6ms,稳态误差仅为0.03%;同时,由速度为0.5m/s的位置扰动引起的系统误差最大仅为0.58kN并于35ms后消除。故本文设计的自适应控制器使被动式电液加载系统在变参数和位置扰动条件下的动态特性和精度得到大幅提升。     

基于模糊扭矩识别的混合动力汽车控制策略

提出一种基于模糊扭矩识别的插电式四驱混合动力汽车控制策略,分别以加速踏板和制动踏板的开度和变化率为输入,通过模糊控制器得到驱动扭矩识别系数K1和制动扭矩识别系数K2,初步判断驱动和制动形式。通过实际需求扭矩制定基于规则的控制策略,详细讨论了驱动和制动模式的判别步骤。建立了基于CRUSIE Interface与Simulink的联合仿真模型,编译成可执行代码后进行了硬件在环仿真。仿真结果表明,基于模糊扭矩识别的控制策略可以实现基本的能量管理,且每百公里可以节省14.5%的燃油消耗。     

多关节机器人的自学习模糊全局滑模控制

针对模型不确定性多关节机器人的轨迹跟踪控制问题,研究多关节机器人全局滑模控制,为了削弱系统在滑动模态上的抖振,将模糊控制和全局滑模控制相结合,提出一种自学习模糊全局滑模控制方法.该方法利用模糊系统的输出代替全局滑模控制中的非连续开关切换量,并根据滑模变结构原理,设计自学习算法,动态调整模糊隶属函数的参数.通过对2关节机器人的仿真,结果表明在存在模型误差和外部扰动的情况下,该方法既能达到快速跟踪,又能很好地消除控制器的抖振.