Journal Title : International Journal of Modern Trends in Engineering and Science

Author’s Name : Meenu Manohar

Volume 02 Issue 11  Year 2015 

ISSN no: 2348-3121

Page no: 26-31

Abstract A new design technique to improve the performance of PID controllers is proposed here.In order to obtain acceptable control performance,accurate tuning of controller parameters online, is usually necessary. The fundamental difficulty with PID control is that it is a feedback system, having constant parameters, and no direct knowledge of the process is available. Here, the aim is to improve the performance of PID Controllers by making it adaptive and suited for systems with variations in the plant through a loop incorporating LMS Algorithm; MIT Rule and Delta Rule along with an Adaptive Correction Factor. The PID parameters will be modified by an Adaptive Correction Factor. The controller can be made an intelligent one by incorporating a fuzzy logic, which is a part of artificial intelligence or machine learning which interprets human’s actions. The main advantage of the proposed method is that, the parameters of the PID need to be tuned only once and after that, the system can automatically adjust to the process variations. The main aim of the proposed method is to make the controller robust and adaptive to changes in the system.

Keywords— LMS Algorithm; MIT Rule; Delta Rule; Adaptive Correction Factor; Fuzzy logic


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