Comparison Of IMC Controller And Self-Adaptive Fuzzy-Pid Controller

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Comparison of IMC controller & Self-Adaptive Fuzzy-PID Controller for Inverse Response of Boiler Drum Level
Abstract: The paper discuss the inverse response of the Boiler drum water level. Conventional PID Control System cannot reaches up to satisfaction result in inverse response of Boiler Drum Water Control System. In this study a comparison of IMC & fuzzy self-adaptive PID controller is described. The inverse response of self adaptive Fuzzy- PID controller effectively reduces more than IMC. However, IMC controller performance is better than fuzzy for settling time. MATLAB simulink tool is used to simulate self adaptive Fuzzy-PID & IMC control system. INTRODUCTION
Drum level is one of the most important & critical control parameter for …show more content…

In this paper Internal Model Control (IMC) & Fuzzy Controller is used for inverse response of boiler drum level. The Internal Model Control (IMC) philosophy relies on the Internal Model Principle, which states that control can be achieved only if the control system encapsulates, either implicitly or explicitly, some representation of the process to be …show more content…

The fuzzy is basic set of rules which is based on system error and change in error which expert advice into automatic control condition for self adaptive controller. Fuzzy represents a sequence of control mechanism to adjust the effect of certain system stimulations. It reflects the expert conditions in to appropriate control design.

INTERNAL MODEL CONTROL (IMC)

One nice thing about the Internal Model Control (IMC) procedure is that it results in a Controller with a single tuning parameter, the IMC filters (). For a system which is “minimum phase”,  is equivalent to a closed-loop time constant (the “speed of response” of the closed-loop system). Although the IMC procedure is clear and IMC is easily implemented, the most common industrial controller is still the PID controller [3].
The IMC structure has shown in Fig 2.1. The distinguishing characteristic of this structure is the process model. Which is parallel with the actual process (plant). Note that (~) is here used to represent signal associated with the model [3].
List of transfer function variables shown in the IMC block diagram are given below.

D(s)

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