柴油机喷油压力的智能开关型模糊PID复合控制

以车用柴油机电控高压共轨燃油喷射系统为对象 ,提出了智能开关型模糊PID复合控制 ,开发了仿真软件 ,进行了PID控制、模糊控制、模糊PID复合控制的仿真 ,说明智能开关型模糊PID复合控制更适合于柴油机的燃油喷射压力控制     

Adaptation Strategy for Exhaust Gas Recirculation and Common Rail Pressure to Improve Transient Torque Response in Diesel Engines

Fuel injection limitation algorithms are widely used to reduce particulate matter (PM) emissions under transient states in diesel engines. However, the limited injection quantity leads to a decrease in the engine torque response under transient states. To overcome this issue, this study proposes an adaptation strategy for exhaust gas recirculation (EGR) and common rail pressure combined with a fuel injection limitation algorithm. The proposed control algorithm consists of three parts: fuel injection limitation, EGR adaptation, and rail pressure adaptation. The fuel injection quantity is limited by adjusting the exhaust burned gas rate, which is predicted based on various intake air states like air mass flow and EGR mass flow. The control algorithm for EGR and rail pressure was designed to manipulate the set-points of the EGR and rail pressure when the fuel injection limitation is activated. The EGR controller decreases the EGR gas flow rate to rapidly supply fresh air under transient states. The rail pressure controller increases the rail pressure set-point to generate a well-mixed air-fuel mixture, resulting in an enhancement in engine torque under transient states. The proposed adaptation strategy was validated through engine experiments. These experiments showed that PM emissions were reduced by up to 11.2 %, and the engine torque was enhanced by 5.4 % under transient states compared to the injection limitation strategy without adaptation.     

柴油机高压共轨喷油系统结构参数匹配

为提升发动机性能,进行了高压共轨喷油系统与大功率柴油机的匹配研究。在分析柴油机基本参数的基础上,通过计算喷油系统结构匹配参数,设计了高压共轨系统共轨组件,研究了喷油器流量参数,进行了共轨管的设计匹配。实验证明,所匹配的高压共轨系统满足快速建立和稳定共轨压力的要求。     

Model-based design of a variable nozzle turbocharger controller

Variable Nozzle Turbocharger (VNT) was invented to solve the problem of matching an ordinary turbocharger with an engine. VNT can harness exhaust energy more efficiently, enhance intake airflow response and reduce engine emissions, especially during transient operating conditions. The difficulty of VNT control lies in how to regulate the position of the nozzle at different engine working conditions. The control strategy designed in this study is a combination of a closed-loop feedback controller and an open-loop feed-forward controller. The gain-scheduled proportional-integral-derivative (PID) controller was implemented as the feedback controller to overcome the nonlinear characteristic. As it is difficult to tune the parameters of the gain-scheduled PID controller on an engine test bench, system identification was used to identify the plant model properties at different working points for a WP10 diesel engine on the test bench. The PID controller parameters were calculated based on the identified first-order-plus-dead-time (FOPDT) plant model. The joint simulation of the controller and the plant model was performed in Matlab/Simulink. The time-domain and frequency-domain performances of the entire system were evaluated. The designed VNT control system was verified with engine tests. The results indicated that the real boosting pressure traced the target boosting pressure well at different working conditions.     

超高压共轨系统轨压控制策略研究

为稳定控制超高压共轨系统中的共轨腔压力并缩短轨压控制算法的开发周期,利用AMESim/Simulink联合仿真技术建立了超高压共轨系统轨压控制仿真模型,采取前馈+PID控制算法设计了轨压控制策略,并针对轨压控制中的瞬态和稳态工况进行了仿真计算,最后在试验台架上开展了轨压跟随性测试。结果表明:所制定的前馈+PID控制算法能使轨压稳定在目标轨压附近,上下波动小于3 MPa,且轨压突变时瞬态响应时间小于0.5s,控制结果能够满足超高压共轨系统对精度和速度的需求。     

基于BP-PID控制器的盾构液压推进控制系统研究

为解决盾构在复杂地层施工时推进速度和压力难以控制的问题,在压力流量控制的基础上提出BP神经网络控制策略。通过AMESim建立推进系统物理模型,并利用Simulink设计出BP神经网络控制器,最后对系统进行联合仿真,分析推进系统液压缸在变流量和变负载工况下推进速度和压力的响应特性。仿真结果表明:该控制策略与常规PID控制相比,波动幅度降低,调节时间快。采用BP神经网络PID控制能够有效地提高盾构在负载突变情况下速度和压力控制精度,稳定性好、适应能力强,为盾构控制系统设计和优化提供理论参考。     

基于神经网络的柴油机轨压模型补偿容错控制研究

电控柴油机高压共轨燃油喷射系统具有很强的非线性、时变性和扰动性,传统的控制方式难以精确控制系统的轨压。基于BP神经网络辨识得到了非线性柴油机燃油喷射系统模型,提出了一种模型补偿容错控制方法。该方法在PID参数模糊自整定控制的基础上,通过加入一个基于梯度下降算法的误差补偿控制器修正输出偏差,实现了对柴油机燃油喷射系统时变性和扰动性的控制。仿真结果证明了该方法的有效性,与传统PID控制和模糊PID控制相比具有更好的鲁棒性和抗扰动性。     

车用柴油机共轨式电控喷射系统关键技术的仿真与实验研究

介绍了中压共轨系统（PAIRCUI）和高压共轨系统（FIRCRI）的原理与特点，并用计算机仿真与实验方法研究了其中的关键性结构参数对喷油规模的影响。最后介绍了通用于这两种共轨系统以及双燃料天然气发动机控制的ECU，以及电控发动机的MAP标定技术。     

Development of an idle speed engine model using in-cylinder pressure data and an idle speed controller for a small capacity port fuel injected SI engine

An idle speed engine model has been proposed and applied for the development of an idle speed controller for a 125 cc two wheeler spark ignition engine. The procedure uses the measured Indicated Mean Effective Pressure (IMEP) at different speeds at a constant fuel rate and throttle position obtained by varying the spark timing. At idling conditions, IMEP corresponds to the friction mean effective pressure. A retardation test was conducted to determine the moment of inertia of the engine. Using these data, a model for simulating the idle speed fluctuations, when there are unknown torque disturbances, was developed. This model was successfully applied to the development of a closed loop idle speed controller based on spark timing. The controller was then implemented on a dSPACE Micro Autobox on the actual engine. The Proportional Derivative Integral (PID) controller parameters obtained from the model were found to match fairly well with the experimental values, indicating the usefulness of the developed idle speed model. Finally, the optimized idle speed control algorithm was embedded in and successfully demonstrated with an in-house built, low cost engine management system (EMS) specifically designed for two-wheeler applications.     

基于模糊自适应PID的智能车辆路径跟踪控制

选取车辆当前位姿和参考位姿来构造车辆的动态位姿误差,建立车辆路径跟踪闭环控制系统的Simulink仿真模型,并设计了模糊自适应PID控制器,利用模糊推理的方法,对PID控制器的参数进行自动调整。利用常规PID和模糊自适应PID控制算法分别进行仿真实验。仿真结果表明,模糊自适应PID改善了控制器的动态性能且具有较好的自适应能力。     

高压共轨轨压PID控制算法自动代码生成应用研究

运用Matlab/Simulink的Real Time Workshop Embedded Coder模块生成PID控制代码,与发动机控制算法集成,应用于高压共轨柴油机轨道压力控制。通过PCMaster软件监控和标定PID控制参数,在VM R425DOHC柴油机上进行调节,调节后的控制参数取得预期的轨压控制结果。研究结果表明,在发动机控制算法开发中应用自动代码生成技术,可以实现建模和底层代码的分离,加快控制算法的开发。     

快速控制原型技术在水平对置二行程柴油机上的应用

根据水平对置二行程柴油机控制逻辑和喷射时序要求,使用Matlab/Simulink构建系统的控制策略和算法模型,包括轨压控制、状态检测、喷油量计算、逻辑处理和凸轮轴信号模拟模型.模型中轨压控制采用增量式数字PID控制算法,转速控制采用MAP查询方式.控制策略和算法模型的建立应用了Simulink模块库,系统状态检测模型...     

柴油机高压共轨系统高压油泵驱动扭矩仿真研究

针对BOSCH CP2高压油泵,用MATLAB/Simulink建立驱动扭矩模型,并通过试验验证模型的正确性。仿真计算分析了结构参数和转速、轨压、喷油量、温度对驱动扭矩的影响,并为共轨系统扭矩控制中的高压供油泵需求扭矩提供了基础模型,也为高压油泵的选型和设计提供指导。     

模糊自整定PID参数控制器及其在汽车测试设备中的应用

在汽车的控制及测试设备中，广泛使用常规的ＰＩＤ控制器，由于它不具备在线整定ＰＩＤ参数的功能，因此在参数时变较大的系统，其性能难以满足要求。为此本文应用模糊控制技术实现了ＰＩＤ控制器的参数在线自整定，获得了比较理想的效果。本文以汽车传动轴试验台为例，详细地阐述了模糊控制器的设计原理及计算机软件设计方法。     

GD-1高压共轨电控柴油机起动控制的试验研究

与机械式供油系统相比,高压共轨电控系统在起动时可迅速建立起较高的油压、灵活地调节喷油量和喷射提前角。基于GD—1高压共轨电控系统,采取对喷油量、喷油压力和喷射正时等主要参数的调节与控制,做了电控共轨柴油机起动的试验研究。试验结果表明,该系统能有效改善柴油机起动性能。     

电动汽车EPS助力工况柔性PID控制及试验

建立了汽车3自由度转向模型和EPS动力学模型,设计了助力工况的无缝车速助力模式和柔性PID控制器.柔性PID控制器可根据控制误差大小,判断系统误差所在的运行状态,实时调整控制器结构和控制参数.分别在车速为20 km/h、30 km/h和40 km/h情况下进行蛇行仿真和实车试验结果表明,柔性PID控制与无控制和原车控制...     

柴油机中压共轨式喷油系统的模拟计算与分析

在改进喷油器结构的基础上，在中压共轨喷油系统中实现了预喷。并建立了液力计算模型，模拟计算了中压共轨喷油器的喷油特性。进行了试验验证，证明了模拟计算的准确性，并得到了若干有意义的认识。     

基于MATLAB的ABS控制仿真研究

ABS是一种变工况、非线性的系统,且建模难度大。分别采用PID控制、模糊PID控制两种方法对单轮汽车模型进行了模拟仿真。其中模糊PID控制可以利用模糊控制规则对PID参数进行在线修改,因而具有较好的自适应能力,可以达到非常好的控制效果。     

高压共轨柴油机燃烧与排放模型的研究

利用高速闪光摄影技术,对高压喷射喷雾体空间发展规律进行了试验分析,提出了一个计算高压喷射喷雾体发展的数学公式;在正确描述高压燃油喷雾的基础上,建立了一个能预测高压共轨柴油机性能和排放的准维燃烧模型,此模型改进了燃油喷射模型及碳烟的生成与氧化模型,考虑到燃烧区的区间传热和缸内工质的对流辐射传热,对一台高压共轨柴油机进行了仿真计算。计算与试验结果对比分析表明,改进后的燃烧与排放模型能较好地反映缸内各区的燃烧与排放情况。     

PIV系统测量误差的实验评价及在柴油机喷雾测量上的应用

提出了一种PIV系统(Particle Image Velocimetry)测量误差的实验评价方法,并建立了一套PIV误差 实验评价系统。得到了PIV测量误差在空间及时间上的概率分布特性;对PIV实验参数中的几个关键参数进行优 化。应用PIV系统,对高压共轨式电控喷射系统的喷雾粒子速度场进行了测量和研究。研究表明,在喷雾过程后 期,喷雾体内部出现大尺度的涡流结构;提高喷射压力之后,出现涡流结构的时刻提前。