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PID-PD Case Studies

As per available reports about 2 Conferences, 3 Relevant Journals and 2 Workshops are presently dedicated exclusively to PID-PD Case Studies.

Proportional-Integral-Derivative (PID) control is the most common control algorithm used in industry and has been universally accepted in industrial control. The popularity of PID controllers can be attributed partly to their robust performance in a wide range of operating conditions and partly to their functional simplicity which allows engineers to operate them in a simple, straightforward manner.

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Scope and Importance:

Proportional-integral-derivative controller is a control loop feedback mechanism widely used in industrial control systems. A PID controller calculates an error value as the difference between a measured process variable and a desired set point. The controller attempts to minimize the error by adjusting the process through use of a manipulated variable. The PID controller algorithm involves three separate constant parameters and is accordingly sometimes called three-term control: the proportional, the integral and derivative values denoted by P, I, and D. Simply put, these values can be interpreted in terms of time: P depends on the present error, I on the accumulation of past errors and D is a prediction of future errors based on current rate of change. The weighted sum of these three actions is used to adjust the process via a control element such as the position of a control valve, a damper or the power supplied to a heating element. In the absence of knowledge of the underlying process, a PID controller has historically been considered to be the best controller. By tuning the three parameters in the PID controller algorithm, the controller can provide control action designed for specific process requirements. The response of the controller can be described in terms of the responsiveness of the controller to an error, the degree to which the controller overshoots the set point, and the degree of system oscillation. Note that the use of the PID algorithm for control does not guarantee optimal control of the system or system stability. Some applications may require using only one or two actions to provide the appropriate system control. This is achieved by setting the other parameters to zero. A PID controller will be called a PI, PD, P or I controller in the absence of the respective control actions. PI controllers are fairly common, since derivative action is sensitive to measurement noise whereas the absence of an integral term may prevent the system from reaching its target value due to the control action.

Market Analysis:

Factory automation and industrial controls market provides process automation in industrial setup. The overall automation market is expected to reach $125 billion by 2018 at a CAGR of 7.3%. The global factory automation & industrial control market is expected to grow at a good rate. It is estimated that almost 35% to 50% of production cost is due to energy consumption and wastage in an industrial unit. Factory automation plays a significant role in reducing energy consumption and increasing operational efficiency which are the key drivers for the market.

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This page was last updated on March 21, 2023

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