ADAMS和Matlab的EPS和整车系统的联合仿真

首先利用ADAMS软件建立带有电动助力转向系统（EPS）的整车多体动力学模型;然后在Matlab／Simulink环境中设计了PID控制的EPS系统,定义了与ADAMS／CAR环境下车辆模型的数据交换接口;最后,将设计的控制系统在ADAMS／CAR和Matlab／Simulink环境下通过输入输出接口进行联合仿真。几种行驶工况下的EPS及整车的动态特性计算结果,表明联合仿真方法是正确有效的,并为其在车辆工程中的实际应用提供了参考。     

机器视觉技术在温室营养液调控系统中的应用

现代设施农业趋向于采用无土栽培.无土栽培是一种采用灌溉营养液来栽培作物的方法.为此,介绍了国内温室无土栽培中营养液供给系统的研究现状,针对目前营养液供给控制存在的问题,将机器视觉技术应用到温室营养液调控中,利用作物的图像信息和环境信息,参考作物专家系统,提出控制策略,调整营养液配置参数,并阐述了系统的软硬件实现方法.     

基于PLC的生物质燃料节能灶控制器设计

生物质燃料是指将生物质材料燃烧作为燃料,主要使用农林废弃物作为原材料。生物质成型燃料(BiomassMouldingFuel,简称"BMF"),是将农林废物作为原材料,经过粉碎、混合、挤压、烘干等工艺,制成各种成型(如块状、颗粒状等)的,可直接燃烧的一种新型清洁燃料。但是如何安全可靠使用,我国现阶段还没有成熟的技术。本文详细介绍笔者通过和企业合作的方式设计一款基于PLC的生物质燃料控制器的设计方案。     

PLC在电气自动控制中的应用

随着电气控制技术的发展和计算机技术的广泛应用，单片机逐渐取代传统逻辑开关，但是单片机技术复杂，编程难度高。而可编程控制器，它以控制功能强大，通用性好，编程简单易操作，控制稳定等特点正在成为电气自动控制系统中重要的开关量逻辑控制元件，并结合，声、光、电、液等信号采集元件和变频伺服技术成为电气自动控的核心部件。     

Nonlinearity of Electronic Throttle and Its Control

This paper introduces the development of the electronic throttle control system (ETCS) , the structure and the principle of the system are also involved. After analyzing the nonlinearity problem existing in the mechanical structure of the system, a mathematical model of the ETCS is built up. Then three controllers (PID controller, Fuzzy controller, sliding mode controller) were designed and simulated in the matlab simulink. The result indicates that the PID controller has an overshoot,but the Fuzzy controller and the sliding mode controller can settle the nonlinearity problem better.     

An Expert System Approach to the Computer Aided Design of Intelligent Controllers

The idea for an expert system approach to the computer aided design of intelligent controllers (ESCAD1C) is discussed and the idea of two step modelling of an intelligent controller is presented on the basis of emulating human control behaviours to solve complex problems. The structure, functions and characteristics of ESCADTC system , and the design procedures of intelligent controllers are gived. The knowledge base and simulating functions for designing intelligent controllers are also described.     

Using BP Neural Network to Determine the Membership Function of the Input of Fuzzy Control System

While design the fuzzy controller, it is very important to determine the membership function of fuzzy variables.The data can be broadly classified as fuzzy sets by using the classification property of the BP neural network. The author selects a BP neural network with one hide layer and uses S function to the input and hide layer, and linear function to the output layer.Advanced BP algorithm isused to train the BP neural network in the environment of MATLAB . The nearer to the target values is the better the last output is.With the trained BP network , the membership values of the inputs can be got ten. This method has high rate and low error.     

A Study on the FMS Planning and Scheduling System

After researching the function requirements of the planning and scheduling in manufacturing cells, the paper advanced a control structure with three phases, i. e. planning , scheduling and dispatching. The paper represented in detail the main purposes, requirements and scheduling actions in each phase. It suits to general machining FMSs.     

基于目标控制器的四轮驱动汽车TCS道路试验

对自主开发的四轮驱动车辆牵引力控制系统(TCS)进行了冬季低附着均一路面、分离路面直行加速以及低附着均一路面转向加速3种性能控制工况的有、无TCS控制对比实车道路试验。试验结果对比表明:TCS控制系统工作可靠,控制有效,能够及时控制驱动轮的过度滑转,有效地提高了车辆驱动能力和操纵稳定性。     

基于BAS-PID控制的精准变量施药系统仿真与试验

精准变量施药技术是精准农业的重要内容之一,为解决当前常用的变量施药方式存在的控制精度低、超调量大等不足,提出将天牛须搜索(Beetle Antennae Search,BAS)算法与常规PID控制结合形成BAS-PID控制算法,用于变量施药系统控制。首先建立施药控制系统机理模型并基于Matlab平台进行软件仿真,仿真试验结果表明,BAS-PID算法的超调量为0.024 1,绝对误差为1.14%,均低于常规PID和模糊PID,控制效果更好。在吉林农业大学试验田进行了田间施药试验,根据试验数据分析,BAS-PID、模糊PID以及常规PID的平均施药误差分别为0.016 L/min、0.020 L/min、0.238 L/min,平均超调量分别为0.006 L/min、0.016 L/min、0.238 L/min。BAS-PID控制算法的施药误差仅在0.01~0.02 L/min内,误差范围小,总体而言,该算法的施药误差和平均超调量都低于模糊PID和常规PID,系统应用效果好。试验结果表明:本文提出的BAS-PID算法提高了PID算法的参数适用性,施药控制精度高,超调量小,改善了变量施药系统的施药效果,可为推动精准变量施药技术的发展提供新的技术方案。