Controller


A proportional–integral–derivative controller (PID controller or three-term controller) is a control loop feedback mechanism widely used in industrial control systems and a variety of other applications requiring continuously modulated control. A PID controller continuously calculates an error value e ( t )  as the difference between a desired setpoint  (SP) and a measured process variable (PV) and applies a correction based on proportional, integral, and derivative terms (denoted  P, I, and D respectively), hence the name.
In practical terms it automatically applies accurate and responsive correction to a control function. An everyday example is the cruise control on a car, where external influences such as hills  would decrease speed. The PID algorithm restores from current speed to the desired speed in an optimal way, without delay or overshoot, by controlling the power output of the vehicle's engine.
The first theoretical analysis and practical application was in the field of automatic steering systems for ships, developed from the early 1920s onwards. It was then used for automatic process control in manufacturing industry, where it was widely implemented in pneumatic, and then electronic, controllers. Today there is universal use of the PID concept in applications requiring accurate and optimised automatic control.

Fundamental operation

The distinguishing feature of the PID controller is the ability to use the three control terms of proportional, integral and derivative influence on the controller output to apply accurate and optimal control. The block diagram on the right shows the principles of how these terms are generated and applied. It shows a PID controller, which continuously calculates an error value e ( t ) {\displaystyle e(t)} as the difference between a desired setpoint SP = r ( t ) {\displaystyle {\text{SP}}=r(t)}  and a measured process variable PV = y ( t ) {\displaystyle {\text{PV}}=y(t)} , and applies a correction based on proportional, integral, and derivative terms. The controller attempts to minimize the error over time by adjustment of a control variable u ( t ) {\displaystyle u(t)} , such as the opening of a control valve to a new value determined by a weighted sum of the control terms.
 

 



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