电气化与自动化专业毕业设计（论文）外文资料翻译.doc

毕业设计（论文）外文资料翻译 系别： 电气工程系 专业： 电气化与自动化 班级： 姓名： 学号： 外文出处： specialized english for architectural electric engineering and automation 附 件：1、外文原文；2、外文资料翻译译文。指导教师评语：签字： 年 月 日注：请将该封面与附件装订成册。1、 外文原文introductions to temperature controland pid controllersprocess control system. automatic process control is concerned with maintaining process variables temperatures pressures flows compositions, and the like at some desired operation value. processes are dynamic in nature. changes are always occurring, and if actions are not taken, the important process variables-those related to safety, product quality, and production rates-will not achieve design conditions. in order to fix ideas, let us consider a heat exchanger in which a process stream is heated by condensing steam. the process is sketched in fig.1 fig. 1 heat exchanger the purpose of this unit is to heat the process fluid from some inlet temperature, ti(t), up to a certain desired outlet temperature, t(t). as mentioned, the heating medium is condensing steam. the energy gained by the process fluid is equal to the heat released by the steam, provided there are no heat losses to surroundings, iii that is, the heat exchanger and piping are well insulated. in this process there are many variables that can change, causing the outlet temperature to deviate from its desired value. 21 if this happens, some action must be taken to correct for this deviation. that is, the objective is to control the outlet process temperature to maintain its desired value. one way to accomplish this objective is by first measuring the temperature t(t) , then comparing it to its desired value, and, based on this comparison, deciding what to do to correct for any deviation. the flow of steam can be used to correct for the deviation. this is, if the temperature is above its desired value, then the steam valve can be throttled back to cut the stearr flow (energy) to the heat exchanger. if the temperature is below its desired value, then the steam valve could be opened some more to increase the steam flow (energy) to the exchanger. all of these can be done manually by the operator, and since the procedure is fairly straightforward, it should present no problem. however, since in most process plants there are hundreds of variables that must be maintained at some desired value, this correction procedure would required a tremendous number of operators. consequently, we would like to accomplish this control automatically. that is, we want to have instnnnents that control the variables wjtbom requ)ring intervention from the operator. (si this is what we mean by automatic process control. to accomplish his objective a control system must be designed and implemented. a possible control system and its basic components are shown in fig.2.fig. 2 heat exchanger control loopthe first thing to do is to measure the outlet temperavare of the process stream. a sensor (thermocouple, thermistors, etc) does this. this sensor is connected physically to a transmitter, which takes the output from the sensor and converts it to a signal strong enough to be transmitter to a controller. the controller then receives the signal, which is related to the temperature, and compares it with desired value. depending on this comparison, the controller decides what to do to maintain the temperature at its desired value. base on this decision, the controller then sends another signal to final control element, which in turn manipulates the steam flow.the preceding paragraph presents the four basic components of all control systems. they are (1) sensor, also often called the primary element. (2) transmitter, also called the secondary element. (3) controller, the brain of the control system. (4) final control system, often a control valve but not always. other common final control elements are variable speed pumps, conveyors, and electric motors. the importance of these components is that they perform the three basic operations that must be present in every control system. these operations are (1) measurement (m) : measuring the variable to be controlled is usually done by the combination of sensor and transmitter. (2) decision (d): based on the measurement, the controller must then decide what to do to maintain the variable at its desired value. (3) action (a): as a result of the controllers decision, the system must then take an action. this is usually accomplished by the final control element. as mentioned, these three operations, m, d, and a, must be present in every control system. pid controllers can be stand-alone controllers (also called single loop controllers), controllers in plcs, embedded controllers, or software in visual basic or c# computer programs. pid controllers are process controllers with the following characteristics: continuous process control analog input (also known as measuremem or process variable or pv) analog output (referred to simply as output) setpoint (sp) proportional (p), integral (i), and/or derivative (d) constants examples of continuous process control are temperature, pressure, flow, and level control. for example, controlling the heating of a tank. for simple control, you have two temperature limit sensors (one low and one high) and then switch the heater on when the low temperature limit sensor tums on and then mm the heater off when the temperature rises to the high temperature limit sensor. this is similar to most home air conditioning & heating thermostats. in contrast, the pid controller would receive input as the actual temperature and control a valve that regulates the flow of gas to the heater. the pid controller automatically finds the correct (constant) flow of gas to the heater that keeps the temperature steady at the setpoint. instead of the temperature bouncing back and forth between two points, the temperature is held steady. if the setpoint is lowered, then the pid controller automatically reduces the amount of gas flowing to the heater. if the setpoint is raised, then the pid controller automatically increases the amount of gas flowing to the heater. likewise the pid controller would automatically for hot, sunny days (when it is hotter outside the heater) and for cold, cloudy days. the analog input (measurement) is called the process variable or pv. you want the pv to be a highly accurate indication of the process parameter you are trying to control. for example, if you want to maintain a temperature of + or - one degree then we typically strive for at least ten times that or one-tenth of a degree. if the analog input is a 12 bit analog input and the temperature range for the sensor is 0 to 400 degrees then our theoretical accuracy is calculated to be 400 degrees divided by 4,096 (12 bits) =0.09765625 degrees. we say theoretical because it would assume there was no noise and error in our temperature sensor, wiring, and analog converter. there are other assumptions such as linearity, etc. the point being-with 1/10 of a degree theoretical accuracy-even with the usual amount of noise and other problems- one degree of accuracy should easily be attainable. the analog output is often simply referred to as output. often this is given as 0100 percent. in this heating example, it would mean the valve is totally closed (0%) or totally open (100%). the setpoint (sp) is simply-what process value do you want. in this example-what temperature do you want the process at? the pid controllers job is to maintain the output at a level so that there is no difference (error) between the process variable (pv) and the setpoint (sp).in fig. 3, the valve could be controlling the gas going to a heater, the chilling of a cooler, the pressure in a pipe, the flow through a pipe, the level in a tank, or any other process control system. what the pid controller is looking at is the difference (or error) between the pv and the sp. setpoint p，i，&d constants difference error pid control algorithm process output variable fig .3 pidcontrolit looks at the absolute error and the rate of change of error. absolute error means-is there a big difference in the pv and sp or a little difference? rate of change of error means-is the difference between the pv or sp getting smaller or larger as time goes on. when there is a process upset, meaning, when the process variable or the setpoint quickly changes-the pid controller has to quickly change the output to get the process variable back equal to the setpoint. if you have a walk-in cooler with a pid controller and someone opens the door and walks in, the temperature (process variable) could rise very quickly. therefore the pid controller has to increase the cooling (output) to compensate for this rise in temperature. once the pid controller has the process variable equal to the setpoint, a good pid controller will not vary the output. you want the output to be very steady (not changing) . if the valve (motor, or other control element) is constantly changing, instead of maintaining a constant value, this could cause more wear on the control element. so there are these two contradictory goals. fast response (fast change in output) when there is a process upset, but slow response (steady output) when the pv is close to the setpoint. note that the output often goes past (over shoots) the steady-state output to get the process back to the setpoint. for example, a cooler may normally have its cooling valve open 34% to maintain zero degrees (after the cooler has been closed up and the temperature settled down). if someone opens the cooler, walks in, walks around to find something, then walks back out, and then closes the cooler door-the pid controller is freaking out because the temperature may have raised 20 degrees! so it may crank the cooling valve open to 50, 75, or even 100 percent-to hurry up and cool the cooler back down-before slowly closing the cooling valve back down to 34 percent. lets think about how to design a pid controller. we focus on the difference (error) between the process variable (pv) and the setpoint (sp). there are three ways we can view the error.the absolute error this means how big is the difference between the pv and sp. if there is a small difference between the pv and the sp-then lets make a small change in the output. if there is a large difference in the pv and sp-then lets make a large change in the output. absolute error is the proportional (p) component of the pid controller.the sum of errors over time give us a minute and we will show why simply looking at the absolute error (proportional) only is a problem. the sum of errors over time is important and is called the integral (i) component of the pid controller. every time we run the pid algorithm we add the latest error to the sum of errors. in other words sum of errors = error 1 q- error2 + error3 + error4 + . the dead time dead time refers to the delay between making a change in the output and seeing the change reflected in the pv. the classical example is getting your oven at the right temperature. when you first mm on the heat, it takes a while for the oven to heat up. this is the dead time. if you set an initial temperature, wait for the oven to reach the initial temperature, and then you determine that you set the wrong temperature-then it will take a while for the oven to reach the new temperature setpoint. this is also referred to as the derivative (d) component of the pid controller. this holds some future changes back because the changes in the output have been made but are not reflected in the process variable yet.absolute error/proportional one of the first ideas people usually have about designing an automatic process controller is what we call proportional. meaning, if the difference between the pv and sp is small-then lets make a small correction to the output. if the difference between the pv and sp is large- then lets make a larger correction to the output. this idea certainly makes sense. we simulated a proportional only controller in microsoft excel. fig.4 is the chart showing the results of the first simulation (deadtime = 0, proportional only):proportional and integral controllers the integral portion of the pid controller accounts for the offset problem in a proportional only controller. we have another excel spreadsheet that simulates a pid controller with proportional and integral control. here (fig. 5) is a chart of the first simulation with proportional and integral (deadtime :0, proportional = 0.4). as you can tell, the pi controller is much better than just the p controller. however, dead time of zero (as shown in the graph) is not common. fig .4 the simulation chart derivative controlderivative control takes into consideration that if you change the output, then it takes tim for that change to be reflected in the input (pv).for example, lets take heating of the oven. fig.5the simulation chart if we start turning up the gas flow, it will take time for the heat to be produced, the heat to flow around the oven, and for the temperature sensor to detect the increased heat. derivative control sort of holds back the pid controller because some increase in temperature will occur without needing to increase the output further. setting the derivative constant correctly allows you to become more aggressive with the p & i constants.2、外文资料翻译译文温度控制简介和pid控制器过程控制系统 自动过程控制系统是指将被控量为温度、压力、流量、成份等类型的过程变量保持在理想的运行值的系统。过程实际上是动态的。变化总是会出现，此时如果不采取相应的措施，那些与安全、产品质量和生产率有关的重要变量就不能满足设计要求。为了说明问题，让我们来看一下热交换器。流体在这个过程中被过热蒸汽加热，如图1所示。这一装置的主要目的是将流体由入口温度乃(f)加热到某一期望的出口温度t(f)。如前所述，加热介质是过热蒸汽。只要周围没有热损耗，过程流体获得的热量就等于蒸汽释放的热量，即热交换器和管道间的隔热性很好。很多变量在这个过程中会发生变化，继而导致出口温度偏离期望值。如果出现这种情况，就该采取一些措施来校正偏差，其目的是保持出口温度为期望值。实现该目的的一种方法是首先测量r(0，然后与期望值相比较，由比较结果决定如何校正偏差。蒸汽的流量可用于偏差的校正。就是说，如果温度高于期望值，就关小蒸汽阀来减小进入换热器的蒸汽流量；若温度低于期望值，就开大蒸汽阀，以增加进入换热器的蒸汽流量。所有这些操作都可由操作员手工实现，操作很简单，不会出现什么问题。但是，由于多数过程对象都有很多变量需要保持为某一期望值，就需要许多的操作员来进行校正。因此，我们想自动完成这种控制。就是说，我们想利用无需操作人员介入就可以控制变量的设备。这就是所谓自动化的过程控制。为达到上述目标，就需要设计并实现一个系统。图2所示为一个可行的控制系统及其基本构件。首先要做的是测量过程流体的出口温度，这一任务由传感器(热电偶、热电阻等)完成。将传感器连接到变送器上，由变送器将传感器的输出信号转换为足够大的信号传送给控制器。控制器接收与温度相关的信号并与期望值比较。根据比较的结果，控制器确定保持温度为期望值的控制作用。基于这一结果，控制器再发一信号给执行机构来控制蒸汽流量。下面介绍控制系统中的4种基本元件，分别是：(1)传感器，也称为一次元件。(2)变送器，也称二次元件。(3)调节器，控制系统的“大脑”。(4)执行机构，通常是一个控制阀，但并不全是。其他常用的执行机构有变速泵、传送装置和电动机。这些元件的重要性在于它们执行每个控制系统中都必不可少的3个基本操作，即：(1)测量：被控量的测量通常由传感器和变送器共同完成。(2)决策：根据测量结果，为了维持输出为期望值，控制器必须决定如何操作。 (3)操作: 根据控器的处理,系统必须执行某种操作,这通常由执行机构来完成.如上所述,每个控制系统都有m,d和a这3种操作.有些系统的决策任务简单,而有些很复杂.设计控制系统的工程师必须确保所采取确保所采取的操作能影响被控变量,也就是说,该操作要影响测量值.否则,系统是不可控的,还会带来许多危害.pid控制器可以是独立控制器（也可以叫做单回路控制器），可编程控制器（plcs）中的控制器，嵌入式控制器或者是用vb或c#编写的计算机程序软件。pid控制器是过程控制器，它具有如下特征：连续过程控制；模拟输入（也被称为“测量量”或“过程变量”或“pv”）；模拟输出（简称为“输出”）；基准点（sp）；比例、积分以及/或者微分常数； “连续过程控制”的例子有温度、压力、流量及水位控制。例如：控制一个容器的热量。对于简单的控制，你使用两个具有温度限定功能的传感器(一个限定低温，一个限定高温)。当低温限定传感器接通时就会打开加热器，当温度升高到高温限定传感器时就会关 加热器。这类似于大多数家庭使用的空调及供暖系统的温度自动调节器。 反过来，pid控制器能够接受像实际温度这样的输入，控制阀门，这个阀门能够控制 进入加热器的气体流量。pid控制器自动地找到加热器中气体的合适流量，这样就保持了温度在基准点稳定。温度稳定了，就不会在高低两点间上下跳动了。如果基准点降低，pid控制器就会自动降低加热器中气体的流量。如果基准点升高，pid控制器就会自动的增加加热器中气体的流量。同样地，对于高温，晴朗的天气(当外界温度高于加热器时)及阴冷，多云的天气，pid控制器都会自动调节。 模拟输入(测量量)也叫做“过程变量”或“pv。你希望pv能够达到你所控制过程参数的高精确度。例如，如果我们想要保持温度为+1度或1度，我们至少要为此努力，使其精度保持在01度。如果是一个12位的模拟输入，传感器的温度范围是从0度到400度，我们计算的理论精确度就是4096除400度=0097656度。我们之所以说这是理论上因为我们假定温度传感器，电线及模拟转换器上没有噪音和误差。还有其他的假定。例如，线性等等。即使是有大量的噪音和其他问题，按理论精确度的110计算，1度精确度的数值应该很容易得到的。 模拟输出经常被简称为“输出”。经常在0到100之间给出。在这个热量的例子中阀门完全关闭(0)，完全打开(100)。 基准点(sp)很简单，即你想要什么样的过程量。在这个例子中一你想要过