regression model for tuning the pid controller with fractional order time delay system

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ID: 163153
2014
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Abstract
In this paper a regression model based for tuning proportional integral derivative (PID) controller with fractional order time delay system is proposed. The novelty of this paper is that tuning parameters of the fractional order time delay system are optimally predicted using the regression model. In the proposed method, the output parameters of the fractional order system are used to derive the regression function. Here, the regression model depends on the weights of the exponential function. By using the iterative algorithm, the best weight of the regression model is evaluated. Using the regression technique, fractional order time delay systems are tuned and the stability parameters of the system are maintained. The effectiveness and feasibility of the proposed technique is demonstrated through the MATLAB/Simulink platform, as well as testing and comparison using the classical PID controller, Ziegler–Nichols tuning method, Wang tuning method and curve fitting technique base tuning method.
Reference Key
agnihotri2014ainregression Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;S.P. Agnihotri;Laxman Madhavrao Waghmare
Journal der pharmacia lettre
Year 2014
DOI
10.1016/j.asej.2014.04.007
URL
http://www.sciencedirect.com/science/article/pii/S2090447914000495
Keywords
PID controller fractional order regression model civil engineering (general) time delay and systemengineering (general)

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