车用氧传感器的使用与维护

简述了氧传感器的功能,构造、工作原理及其类型,分析了氧传感器的故障原因,指出了氧传感器的故障诊断与维修方法。     

一种汽车用氧传感器的研制

研制了一种适用于电喷汽车用氧传感器,传感器采用了新型的氧敏材料和优良的系统设计。对所研制的氧传感器进行了较系统的测试与分析,表明氧传感器具有良好的综合性能,能较为精确保证汽车发动机理想的空燃比,使整车排放达到欧洲2号法规。     

汽车空气流量质量传感器的分析

对车用空气质量流量传感器的发展现状、类型和未来发展进行了详细的分析。首先分析了电子工业在汽车上的发展,电子工业的发展给汽车工业带来了质的跳跃。接着分析了空气流量传感器对电控发动机的重要性,并对比了不同类型的空气流量传感器。随着电子工业的进一步发展,对空气流量传感器有了更高的要求,而MEMS成为未来空气流量传感器的发展方向。     

氧化锆氧传感器在工业锅炉中的应用

介绍了氧化锆氧传感器的基本原理和燃煤工业锅炉送风控制系统，指出将氧化锆氧传感器和计算机技术应用到工业锅炉中，是减少燃煤工业锅炉的排放污染和降低运行成本最有效的办法。     

浅谈汽车空燃比传感器的性能特点与检修方法

随着汽车工业的发展,汽车保有量的不断增加,汽车节能减排技术越来越被人们所重视。汽车空燃比传感器能够自动检测不同工况下的汽车混合气浓度,并通过电脑进行自动调节,是节能减排技术的重要应用。通过近期教学实践和维修实践过程中的不断总结,通过空燃比传感器的结构原理和检修方法进行叙述,以解决在维修作业中空燃比传感器的技术问题。     

汽车氧传感器的检测与维修

针对电喷发动机怠速运转不稳的故障现象,将KES-200便携式发动机分析仪和X-431汽车诊断仪结合使用,通过对氧传感器的检测以及读故障码、读数据流和信号波形分析,找出故障原因,确认故障部位,予以排除故障,提高汽车检测与维修的品质和效率。     

我国汽车排放控制水平现状及综合对策探析

我国的经济以及城市化进程一直在加快,汽车工业也得到了非常迅速的发展,进而汽车已经成为了生活当中非常重要的交通工具。因此,汽车尾气就会对大气造成非常严重的污染,从而对我们的生活造成危害。因此,相关部门采取了针对性的对策,在废气排放治理以及改善空气污染方面取得了一定的成效。但是,在排气控制方面仍然存在一定的问题,本篇文章主要对我国汽车排放的控制水平进行简单的介绍,希望可以给大家带去一些启发。     

浅论汽车排放控制

从汽车发动机内、外部净化措施及汽车保修、驾驶、油料使用、宏观调控等方面,较为深入地探讨了控制排放的措施。     

汽车排放控制和建立汽车排放试验室设想

从国内汽车废气排放法规和控制技术的发展,提出我区建立汽车排放专门试验室的技术设想。     

Static-dynamic hybrid communication scheduling and control co-design for networked control systems

In this paper, the static-dynamic hybrid communication scheduling and control co-design is proposed for the networked control systems (NCSs) to solve the capacity limitation of the wireless communication network. The analytical most regular binary sequences (MRBSs) are used as the communication scheduling function for NCSs. When the communication conflicts yielded in the binary sequence MRBSs, a dynamic scheduling strategy is proposed to on-line reallocate the medium access status for each plant. Under such static-dynamic hybrid scheduling policy, plants in NCSs are described as the non-uniform sampled-control systems, whose controller have a group of controller gains and switch according to the sampling interval yielded by the binary sequence. A useful communication scheduling and control co-design framework is proposed for the NCSs to simultaneously decide the controller gains and the parameters used to generate the communication sequences MRBS. Numerical example and realistic example are respectively given to demonstrate the effectiveness of the proposed co-design method.     

网络控制系统的简要回顾及展望

随着网络控制系统的迅速发展,网络的引入而产生的网络不确定性问题给网络控制系统的分析和设计带来了挑战.在此时机,本文首先阐述了网络控制系统出现的背景以及存在的基本问题.然后,着重从网络控制系统的被控对象和建模、控制策略和稳定性分析、调度策略、网络架构以及应用前景方面对网络控制系统的一些研究进展进行了回顾.在此基础上,对网络控制系统的某些发展方向予以展望.希望为刚入这一领域的研究人员提供一些较全面的参考信息.     

Sensor scheduling for relay-assisted wireless control systems with limited power resources

In this paper, we investigate the transmission scheduling problem for wireless control systems (WCSs) with limited power resources. Different from the existing works, for a discrete-time linear process, we consider a more practical WCS, where a relay is introduced into the framework for remote transmission and control. To achieve the best control performance of the system, we propose a global optimal offline scheduling algorithm. Then, based on ACK-feedback framework, two different online scheduling schemes are further designed respectively under the given power resources. Theoretically, we prove the superiority of online schedule to the offline one under the same energy budget. Simulations are conducted to demonstrate and verify the effectiveness of the proposed algorithms.     

Robust fault-tolerant control for networked control systems subject to random delays via static-output feedback

This paper focuses on the problem of fault-tolerant controller (FTC) design for uncertain networked control systems (NCSs) with random delays and actuator faults. A new fault model is proposed to represent more class of actuator faults. More precisely, the NCSs with random delays and the possible actuator faults are modeled as a Markovian jump system (MJS) with incomplete transition probabilities (TPs) and then LMI-based sufficient conditions are derived to ensure the stochastic stability of the closed-loop system. The sufficient conditions are constructed to synthesize the mode-dependent static-output feedback (SOF) control laws. Feasibility and reliability of the proposed FTC against actuator faults are indicated through simulation results.     

Improved stabilization method for networked control systems with variable transmission delays and packet dropout

This paper investigates the problem of stability analysis and stabilization for networked control systems with the network-induced delay and data dropout. In order to obtain less conservative results, a novel augmented Lyapunov–Krasovskii functional is introduced and new free-weighting matrices are employed to make some extra degrees of freedom in the sufficient stabilizability condition. The gain of the memoryless state-feedback controller is computed by solving a set of linear matrix inequalities (LMIs). Illustrative examples are given to verify the applicability and outperformance of the proposed method compared to the existing approaches in the literature.     

Decentralized adaptive neural prescribed performance control for high-order stochastic switched nonlinear interconnected systems with unknown system dynamics

In this paper, the problem of decentralized adaptive neural backstepping control is investigated for high-order stochastic nonlinear systems with unknown interconnected nonlinearity and prescribed performance under arbitrary switchings. For the control of high-order nonlinear interconnected systems, it is assumed that unknown system dynamics and arbitrary switching signals are unknown. First, by utilizing the prescribed performance control (PPC), the prescribed tracking control performance can be ensured, while the requirement for the initial error is removed. Second, at each recursive step, only one adaptive parameter is constructed to overcome the over-parameterization, and RBF neural networks are employed to tackle the difficulties caused by completely unknown system dynamics. At last, based on the common Lyapunov stability method, the decentralized adaptive neural control method is proposed, which decreases the number of learning parameters. It is shown that the designed common controller can ensure that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded (SGUUB), and the prescribed tracking control performance is guaranteed under arbitrary switchings. The simulation results are presented to further illustrate the effectiveness of the proposed control scheme.     

Output feedback model predictive control of hydraulic systems with disturbances compensation

Enhancing the robustness of output feedback control has always been an important issue in hydraulic servo systems. In this paper, an output feedback model predictive controller (MPC) with the integration of an extended state observer (ESO) is proposed for hydraulic systems. The ESO was designed to estimate not only the unmeasured system states but also the disturbances, which will be synthesized into the design of the output prediction equation. Based on the mechanism of receding horizon and repeating optimization of MPC, the output prediction equation will be updated in real time and the future behavior of the system will be accurately predicted since the disturbances are compensated effectively. Hence, the ability of the traditional MPC to suppress disturbances will be improved evidently. The experiment results show that the proposed controller has high-performance nature and strong robustness against various model uncertainties, which verifies the effectiveness of the proposed control strategy.     

长度检测微机控制系统的开发与设计

本文介绍了弹头（壳）长度检测分选微型计算机控制系统的开发与设计,以及微机控制的特点及优点.重点讲述了长度检测自动分选功能的软件实现思想.     

Static and low order anti-windup synthesis for cascade control systems with actuator saturation: An application to temperature-based process control

In this paper, a new framework for designing static and low order anti-windup compensator (AWC) for industrial cascade control systems with actuator saturation constraint is presented. Based on less conservative block diagonal quadratic Lyapunov function, sector boundedness, decoupled architecture, norm reduction and cascade loop compensation, linear matrix inequalities are developed which guarantee stability and suitable performance for overall closed-loop system. Static AWC parameters are obtained by comparing the full order AWC architecture with generalized architecture for cascade control system. Low order AWC is designed by sub-optimal approach in which AWC weights are tuned by designer. Anti-windup compensator is divided into inner and outer loop compensators which compensate the effect of saturation at each level. It is observed that the proposed methodology is less conservative than the traditional AWC schemes when applied to cascade control systems. The proposed scheme is successfully tested experimentally on a temperature-based process control system and results are outlined.