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PID控制器及智能控制英文文献

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导读: Article ID : 1000 - 8152(2000) 06 - 0861 - 07 Introductions to PID Controllers and Intelligent Control TAN Yonghong and DANG Xuanju (School of Computer Sciences , Guilin Institute of Electronic Technology Guilin , 541004 , P. R. China) Ach

Article ID : 1000 - 8152(2000) 06 - 0861 - 07

Introductions to PID Controllers and Intelligent Control

TAN Yonghong and DANG Xuanju

(School of Computer Sciences , Guilin Institute of Electronic Technology ·Guilin , 541004 , P. R. China)

Achiel R. Van Cauwenberghe

(Department of Control Engineering and Automation , University of Ghent ·Ghent , Belgium)

Mehrdad Saif

(School of Engineering Sciences ,Simon Fraser University ·Burnaby , BC , V5A1S6 , Canada)

Abstract :Industrial automation level has become a measure of professions modernization level is an important symbol. At the same time, the development of the theory of control also experienced the classical control theory and modern control theory and intelligent control theory of three phase automatic control system can be pided into the open loop control system and closed-loop control system. A control system including the controller, sensors, actuators, and transmitter input and output interface. The output after output interface, actuators, add to the control system, Control system, the accused, the transmitter, through after sensor input interface to controller. Different control system, its sensors and actuators, the transmitter is not the same. At present, the PID control and controller or intelligent instrument has many PID controller in the engineering practice, the products have been widely applied, there are all sorts of PID controller products, companies are developed with PID parameter self-setting function of intelligent regulator (intelligent regulator), including the PID controller is adjusted by intelligent automatic adjustment or calibration, the adaptive algorithm is proposed to realize. Have realized using PID control pressure, temperature, flow, liquid level controller, can realize PID control function of the programmable logic controller (PLC), and can realize PID control PC system, etc.

Key words: intelligent control, PID control

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 “measurement” 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 turns on and then turn 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 thecorrect (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 PVto 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 pided by 4,096 (12 bits) =0.09765625 degrees. [1] 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 problemsone degree of accuracy should easily be attainable.

The analog output is often simply referred to as “output”. Often this is given as 0~100 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 controller’s 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. 16.1, 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.

Fig. 16.1 PID controller

What the PID controller is looking at is the difference (or “error”) between the PV and the SP. It 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 t …… 此处隐藏:18255字,全部文档内容请下载后查看。喜欢就下载吧 ……

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