PID控制的意义中英文翻译资料

The significance of PID control

The current level of industrial automation industries to measure the level of modernization has become an important symbol. Meanwhile, the control also experienced the development of the theory of classical control theory, modern control theory and intelligent control theory of three stages. Intelligent control is a typical example of fuzzy automatic washing machine. Open-loop control system can be divided into control systems and closed-loop control system. A control system including controller, sensors, transmitters, actuators, input and output interfaces. Controller's output through the output interface, the implementing agency, added to the charged system; control system, the amount charged, through sensors, transmitters, sent to the controller through the input interface. Different control systems, sensors, transmitters, actuators are not the same. Such as pressure control system pressure sensor to be used. Electric heating control system sensor is a temperature sensor. At present, PID control and controller or intelligent PID controller (instrument) has a lot of products have been in the engineering practice has been widely applied, there is a wide range of PID controllers, the major companies have developed PID parameter self-tuning capabilities of intelligent controller (intelligent regulator), which automatically adjusts the PID controller parameters are adjusted through the intelligent or self-correction, adaptive algorithms to achieve. PID control are achieved using pressure, temperature, flow, liquid level controller, PID control can achieve programmable controller (PLC), also allows PID control of PC systems, etc.. Programmable Logic Controller (PLC) is to use the closed-loop PID control module to achieve control, programmable logic controller (PLC) can be connected directly with ControlNet, such as Rockwell's PLC-5 and so on. PID control function also allows the controller, such as Rockwell's Logix product line, which can be connected directly with ControlNet, use the network to achieve its remote control functions.

1, the open-loop control system

Open-loop control system (open-loop control system) is charged with the object output (controlled variables) on the controller (controller) did not affect the

output. In this control system, not dependent on the amount will be charged against sending it back to form any closed loops.

2, closed loop control system

Closed loop control system (closed-loop control system) is characterized by the system control object output (controlled variables) will affect the controller against the output sent back to form one or more closed loop. Closed-loop control system has positive feedback and negative feedback, if the feedback signal and system for a given value of signal contrast, is known as negative feedback (Negative Feedback), if the same polarity is called positive feedback, the general closed-loop negative feedback control systems are used , also known as negative feedback control system. Many examples of closed loop control system. Such person is a negative feedback loop control system, the eye is the sensor, as feedback, the human system through constant correction to all the right moves last. If there are no eyes, no feedback loop, will become an open-loop control system. Other cases, when a truly automatic washing machines have to continuously check whether clothes washed, and cut off the power automatically after cleaning, it is a closed loop control system.

3, step response

Step response is a step input (step function) added to the system, the system outputs. Steady-state error is the response of the system into steady state, the system's expected output and actual output of the difference. Control system performance can be stable, accurate, fast and three words to describe. Stability is the stability of the system (stability), a system to work properly, first of all must be stable, from the step response appears to be that convergence; quasi-control system refers to the accuracy, control precision, usually stable state error to (Steady-state error) description, it said the system output and the expected steady-state value of the difference; faster control system response is fast, usually the rise time to quantify.

4, PID control principles and characteristics

In engineering practice, the most widely used regulator control law is

proportional, integral, differential control, referred to as PID control, also known as PID regulator. PID controller has been developed for nearly 70 years, it is its simple structure, stable, reliable, easy to adjust and become one of the main techniques of industrial control. When the structure and parameters of the object and can not fully grasp, or lack of accurate mathematical models, control theory is difficult to use other technologies, the system controller structure and parameters must rely on experience and on-site commissioning to determine, when applied PID control technique is more convenient. That is, when we do not fully understand a system and the controlled object, or can not be an effective means of measurement to obtain system parameters, the most suitable PID control technology. PID control, in practice there are PI and PD control. PID controller is the error according to the system, using proportional, integral, differential calculation of the volume control to control.

Proportion (P) control

Proportional control is the most simple control method. The controller's output and the input error signal proportional. When only a proportional control system output when there is steady-state error (Steady-state error).

Integral (I) control

In integral control, the controller's output and the input error signal proportional to the integral. An automatic control system into the steady state if there is steady-state error, claimed that this control system is called a steady-state error or poor system (System with Steady-state Error). In order to eliminate steady state error, the controller must introduce the "integral term." Integral term of the error depends on the time integral, as time increases, integral term will increase. Thus, even if the error is very small, integral term will increase over time to increase its promotion of the controller output increases to further reduce the steady-state error, until zero. Therefore, the ratio of + integral (PI) controller allows the system to enter steady state of no steady state error.

Differential (D) control

In the differential control, the controller output and differential input error

signal (ie, rate of change of error) is proportional to. Automatic control system to overcome the errors in the adjustment process of oscillation or even instability may occur. The reason is because of greater inertia components (links), or a lag (delay) component, can inhibit the role of error, the changes always lag behind changes in the error. The solution is to change the role of inhibition of error, "ahead", that is close to zero in the error and suppress the role of error should be zero. This means that the controller only the introduction of the "ratio" item is often not enough, the proportion of item only to enlarge the role of the magnitude of the error, but now need to increase the "differential item" that can change the trend of forecast errors, In this way, with the proportion of + differential controller, it can advance to the role of inhibition of the control error is zero, even negative, thus avoiding the charged amount of serious overshoot. Therefore have greater inertia or lag the controlled object, proportional + derivative (PD) controller

5, PID controller tuning

Tuning PID controller is the core of the control system design. It is based on the characteristics of controlled process to determine the proportion of PID controller coefficients, integral time and derivative time, the size of the. PID controller tuning are many ways to sum up, there are two categories: First, tuning the theoretical calculation. It is mainly based on the mathematical model, through theoretical calculations to determine the controller parameters. This method the calculated data may not be directly used, it must adjust and revise engineering. Second, the tuning method works, it mainly relies on engineering experience, directly in the control experiments carried out, and the method is simple, easy to master, in engineering practice is widely used. PID controller parameter tuning method works, mainly the critical ratio, reaction curve and attenuation. Three methods have their own characteristics, their common points are the experiment, and then follow the empirical formula works on the controller parameter tuning. But no matter which method used by the controller parameters are needed in the actual operation of the final adjustment and improvement. Now commonly used is the critical ratio method. PID controller using the method parameter setting of the following steps:

(1) first pre-select a short enough sampling period of the system to work; (2) by adding proportional control only part until the system appears critical step response input oscillation Note the amplification factor and the proportion of time critical oscillation period; (3) a certain degree of control in the formula be adopted under the PID controller parameters

PID控制的意义

目前工业自动化水平已成为衡量各行各业现代化水平的一个重要标志。同时，控制理论的发展也经历了古典控制理论、现代控制理论和智能控制理论三个阶段。智能控制的典型实例是模糊全自动洗衣机等。自动控制系统可分为开环控制系统和闭环控制系统。一个控制系统包括控制器、传感器、变送器、执行机构、输入输出接口。控制器的输出经过输出接口、执行机构，加到被控系统上；控制系统的被控量，经过传感器，变送器，通过输入接口送到控制器。不同的控制系统，其传感器、变送器、执行机构是不一样的。比如压力控制系统要采用压力传感器。电加热控制系统的传感器是温度传感器。目前，PID控制及其控制器或智能PID控制器（仪表）已经很多，产品已在工程实际中得到了广泛的应用，有各种各样的PID 控制器产品，各大公司均开发了具有PID参数自整定功能的智能调节器，其中PID控制器参数的自动调整是通过智能化调整或自校正、自适应算法来实现。有利用PID控制实现的压力、温度、流量、液位控制器，能实现PID控制功能的可编程控制器(PLC)，还有可实现PID控制的PC系统等等。可编程控制器(PLC) 是利用其闭环控制模块来实现PID控制，而可编程控制器可以直接与ControlNet相连，如Rockwell的PLC-5等。还有可以实现 PID控制功能的控制器，如Rockwell 的Logix产品系列，它可以直接与ControlNet相连，利用网络来实现其远程控制功能。

1、开环控制系统

开环控制系统是指被控对象的输出(被控制量)对控制器的输出没有

影响。在这种控制系统中，不依赖将被控量反送回来以形成任何闭环回路。

2、闭环控制系统

闭环控制系统的特点是系统被控对象的输出(被控制量)会反送回来

影响控制器的输出，形成一个或多个闭环。闭环控制系统有正反馈和负反馈，若反馈信号与系统给定值信号相反，则称为负反馈，若极性相同，则称为正反馈，一般闭环控制系统均采用负反馈，又称负反馈控制系统。闭环控制系统的例子很多。比如人就是一个具有负反馈的闭环控制系统，眼睛便是传感器，充当反馈，人体系统能通过不断的修正最后作出各种正确的动作。如果没有眼睛，就没有了反馈回路，也就成了一个开环控制系统。另例，当一台真正的全自动洗衣机具有能连续检查衣物是否洗净，并在洗净之后能自动切断电源，它就是一个闭环控制系统。

3、阶跃响应

阶跃响应是指将一个阶跃输入加到系统上时，系统的输出。稳态误差是指系统的响应进入稳态后，系统的期望输出与实际输出之差。控制系统的性能可以用稳、准、快三个字来描述。稳是指系统的稳定性，一个系统要能正常工作，首先必须是稳定的，从阶跃响应上看应该是收敛的；准是指控制系统的准确性、控制精度，通常用稳态误差来描述，它表示系统输出稳态值与期望值之差；快是指控制系统响应的快速性，通常用上升时间来定量描述。

4、PID控制的原理和特点

在工程实际中，应用最为广泛的调节器控制规律为比例、积分、微分控制，简称PID控制，又称PID调节。PID控制器问世至今已有近70年历史，它以其结构简单、稳定性好、工作可靠、调整方便而成为工业控制的主要技术之一。当被控对象的结构和参数不能完全掌握，或得不到精确的数学模型时，控制理论的其它技术难以采用时，系统控制器的结构和参数必须依靠经验和现场调试来确定，这时应用PID控制技术最为方便。即当我们不完全了解一个系统和被控对象，或不能通过有效的测量手段来获得系统参数时，最适合用PID控制技术。PID控制，实际中也有PI和PD控制。PID控制器就是根据系统的误差，利用比例、积分、微分计算出控制量进行控制的。

比例（P）控制

比例控制是一种最简单的控制方式。其控制器的输出与输入误差信号成比例关系。当仅有比例控制时系统输出存在稳态误差。

积分（I）控制

在积分控制中，控制器的输出与输入误差信号的积分成正比关系。对一个自动控制系统，如果在进入稳态后存在稳态误差，则称这个控制系统是有稳态误差的或简称有差系统。为了消除稳态误差，在控制器中必须引入“积分项”。积分项对误差取决于时间的积分，随着时间的增加，积分项会增大。这样，即便误差很小，积分项也会随着时间的增加而加大，它推动控制器的输出增大使稳态误差进一步减小，直到等于零。因此，比例+积分(PI)控制器，可以使系统在进入稳态后无稳态误差。

微分（D）控制

在微分控制中，控制器的输出与输入误差信号的微分（即误差的变化率）成正比关系。自动控制系统在克服误差的调节过程中可能会出现振荡甚至失稳。其原因是由于存在有较大惯性组件（环节）或有滞后组件，具有抑制误差的作用，其变化总是落后于误差的变化。解决的办法是使抑制误差的作用的变化“超前”，即在误差接近零时，抑制误差的作用就应该是零。这就是说，在控制器中仅引入“比例”项往往是不够的，比例项的作用仅是放大误差的幅值，而目前需要增加的是“微分项”，它能预测误差变化的趋势，这样，具有比例+微分的控制器，就能够提前使抑制误差的控制作用等于零，甚至为负值，从而避免了被控量的严重超调。所以对有较大惯性或滞后的被控对象，比例+微分(PD)控制器能改善系统在调节过程中的动态特性。

5、PID控制器的参数整定

PID控制器的参数整定是控制系统设计的核心内容。它是根据被控过程的特性确定PID控制器的比例系数、积分时间和微分时间的大小。PID 控制器参数整定的方法很多，概括起来有两大类：一是理论计算整定法。它主要是依据系统的数学模型，经过理论计算确定控制器参数。这种方法所得到的计算数据未必可以直接用，还必须通过工程实际进行调整和修

改。二是工程整定方法，它主要依赖工程经验，直接在控制系统的试验中进行，且方法简单、易于掌握，在工程实际中被广泛采用。PID控制器参数的工程整定方法，主要有临界比例法、反应曲线法和衰减法。三种方法各有其特点，其共同点都是通过试验，然后按照工程经验公式对控制器参数进行整定。但无论采用哪一种方法所得到的控制器参数，都需要在实际运行中进行最后调整与完善。现在一般采用的是临界比例法。利用该方法进行 PID控制器参数的整定步骤如下：(1)首先预选择一个足够短的采样周期让系统工作；(2)仅加入比例控制环节，直到系统对输入的阶跃响应出现临界振荡，记下这时的比例放大系数和临界振荡周期；(3)在一定的控制度下通过公式计算得到PID控制器的参数。

模糊控制理论在自动引导车智能导航中的应用 中英文翻译

Fuzzy Logic Based Autonomous Skid Steering Vehicle Navigation L.Doitsidis,K.P.Valavanis,N.C.Tsourveloudis Technical University of Crete Department of Production Engineering and Management Chania,Crete,Greece GR-73100 {Idoitsidis ,kimonv,nikost}@dpem.tuc.gr Abstract-A two-layer fuzzy logic controller has been designed for 2-D autonomous Navigation of a skid steering vehicle in an obstacle filled environment. The first layer of the Fuzzy controller provides a model for multiple sonar sensor input fusion and it is composed of four individual controllers, each calculating a collision possibility in front, back, left and right directions of movement. The second layer consists of the main controller that performs real-time collision avoidance while calculating the updated course to be applicability and implementation is demonstrated through experimental results and case studies performed o a real mobile robot. Keywords - Skid steering, mobile robots, fuzzy navigation. Ⅰ.INTRODUCTION The exist several proposed solutions to the problem of autonomous mobile robot navigation in 2-D uncertain environments that are based on fuzzy logic[1],[2],evolutionary algorithms [3],as well as methods combining fuzzy logic with genetic algorithms[4] and fuzzy logic with electrostatic potential fields[5]. The paper is the outgrowth of recently published results [9],[10],but it studies 2-D environments navigation and collision avoidance of a skid steering vehicle. Skid steering vehicles are compact, light, require few parts to assemble and exhibit agility from point turning to line driving using only the motions, components, and swept volume needed for straight line driving. Skid steering vehicle motion differs from explicit steering vehicle motion in the way the skid steering vehicle turns. The wheels rotation is limited around one axis and the back of steering wheel results in navigation determined by the speed change in either side of the skid steering vehicle. Same speed in either side results in a straight-line motion. Explicit steering vehicles turn differently since the wheels are moving around two axes. The geometric configuration of a skid steering vehicle in the X-Y plane is shown in Fig1，while a t is the heading angle, W is the robot width, θthe sense of rotation and S1, S2 are the speeds in the either side of the robot. The derived and implemented planner a two-layer fuzzy logic based controller that provides purely” reactive behavior” of the vehicle moving in a 2-D obstacle filled environment, with inputs readings from a ring of 24 sonar sensors and angle errors, and outputs the updated rotational and translational velocities of the vehicle. Ⅱ.DESIGN OF THE FUZZY LOGIC CONTROL SYSTEM

材质中英文对照表

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常用单位的中英文对照翻译

常用单位的中英文对照翻译 单位 Unit. 单位制 system of units 米 meter (m) 毫米 millimeter (mm) 英尺 foot (ft) 英寸 inch (in) 弧度 radian (rad) 度degree (°) 摄氏 Celsius. (C) 华氏 Fahrenheit (F) 磅／平方英寸 pounds per square inch (psi) 百万帕斯卡 million pascal (MPa) 巴 bar 千克（公斤） kilogram (kg) 克 gram (g) 牛顿 newton (N) 吨 ton (t) 千磅 kilopound (kip) 平方米 square meter (m 2) 方毫米 square millimeter (mm2 ) 立方米 cubic meter (m3 ) 升 liter; litre (L) 转／分 revolutions per minute (rpm) 百万分之一 parts per million (ppm) 焦（耳） Joule (J) 千瓦 kilowatt (kW) 伏（特） volt (V) 安（培） ampere (A) 欧（姆）ohm (Ω) （小）时 hour (h) 分 minute (min) 秒 second (s)

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数字控制外文文献翻译、中英文翻译

外文资料 Numerical Control One of the most fundamental concepts in the area of advanced manufacturing technol-ogies is Numerical Control(NC). Prior to the advent of NC, all machine tools were manually operated and controlled. Among the many limitations associated with manual control machine tools. Perhaps none is more prominent than the limitation of operator skills. With manual control, the quality of the product are directly related to and limited to the skills of the operator. Numerical Control represented the first major step away from human control of machine tools. Numerical Control means the control of machine tools and other manufacturing systems through the use of prerecorded, written symbolic instructions. Rather than operating a machine tool. For a machine tool to be numerically controlled, it must be interfaced with a device for accepting and decoding the programmed instructions, known as a reader. Numerical Control was developed to overcome the limitation of human operators, and it has done so. Numerical Control machines are more accurate than manually operated machines,they can produce parts more uniformly, they are faster, and the long-run tooling costs are lower. The development of NC led to the development of several other innovations in manufacturing technology: (1) Electrical discharge machining. (2) Laser cutting. (3) Electron beam welding. Numerical Control has also made machine tools more versatile than their manually operated predecessors. An NC machine tool can automatically produce a wide variety of parts, each involving an assortment of widely varied and comples machining processes. Numerical Control has allowed manufacturers to undertake the production of products that would not have been feasible from an economic perspective using manually controlled machine tools and processes.

基于模糊控制的移动机器人的外文翻译

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常--Chiong 车--Che 陈--Chen/Chan/Tan 成/程--Cheng 池--Chi 褚/楚--Chu 淳于--Chwen-yu D: 戴/代--Day/Tai 邓--Teng/Tang/Tung 狄--Ti 刁--Tiao 丁--Ting/T 董/东--Tung/Tong 窦--Tou 杜--To/Du/Too 段--Tuan 端木--Duan-mu 东郭--Tung-kuo 东方--Tung-fang E: F: 范/樊--Fan/Van 房/方--Fang 费--Fei 冯/凤/封--Fung/Fong 符/傅--Fu/Foo G: 盖--Kai 甘--Kan 高/郜--Gao/Kao 葛--Keh 耿--Keng 弓/宫/龚/恭--Kung 勾--Kou 古/谷/顾--Ku/Koo 桂--Kwei

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模糊控制理论 概述 模糊逻辑广泛适用于机械控制。这个词本身激发一个一定的怀疑,试探相当于“仓促的逻辑”或“虚假的逻辑”,但“模糊”不是指一个部分缺乏严格性的方法,而这样的事实,即逻辑涉及能处理的概念,不能被表达为“对”或“否”,而是因为“部分真实”。虽然遗传算法和神经网络可以执行一样模糊逻辑在很多情况下,模糊逻辑的优点是解决这个问题的方法,能够被铸造方面接线员能了解,以便他们的经验,可用于设计的控制器。这让它更容易完成机械化已成功由人执行。 历史以及应用 模糊逻辑首先被提出是有Lotfi在加州大学伯克利分校在1965年的一篇论文。他阐述了他的观点在1973年的一篇论文的概念,介绍了语言变量”,在这篇文章中相当于一个变量定义为一个模糊集合。其他研究打乱了,第二次工业应用中,水泥窑建在丹麦,即将到来的在线1975。 模糊系统在很大程度上在美国被忽略了,因为他们更多关注的是人工智能，一个被过分吹嘘的领域，尤其是在1980年中期年代,导致在诚信缺失的商业领域。 然而日本人对这个却没有偏见和忽略，模糊系统引发日立的Seiji Yasunobu和Soji Yasunobu Miyamoto的兴趣。,他于1985年的模拟,证明了模糊控制系统对仙台铁路的控制的优越性。他们的想法是被接受了,并将模糊系统用来控制加速、制动、和停车，当线于1987年开业。 1987年另一项促进模糊系统的兴趣。在一个国际会议在东京的模糊研究那一年,Yamakawa论证<使用模糊控制,通过一系列简单的专用模糊逻辑芯片,在一个“倒立摆“实验。这是一个经典的控制问题,在这一过程中,车辆努力保持杆安装在顶部用铰链正直来回移动。 这次展示给观察者家们留下了深刻的印象,以及后来的实验,他登上一Yamakawa酒杯包含水或甚至一只活老鼠的顶部的钟摆。该系统在两种情况下,保持稳定。Yamakawa最终继续组织自己的fuzzy-systems研究实验室帮助利用自己的专利在田地里的时候。

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