Universiti Teknologi Malaysia Institutional Repository

Robust PID tuning rule using grey prediction algorithm with optimization method

Awouda, Ala Eldin Abdallah and Tehrani, Mohsen Habibi and Mamat, Rosbi (2010) Robust PID tuning rule using grey prediction algorithm with optimization method. International Review of Automatic Control, 3 (2). pp. 100-105. ISSN 1974-6059

Full text not available from this repository.

Abstract

This paper discusses an approach to tune the PID controller parameters using the optimization method and grey prediction algorithm. The method involves calculating the average of the estimated error using grey prediction algorithm. A mat lab program is developed using simulink tofind the average of the estimated errorfor the system whose process is modeled infirst order lag plus dead time (FOLPD) form. the Optimization method with mat lab software program was used to find the optimum value for the controller gain (K, (opD which minimizes spectfic performance criteria (ITAE performance criteria) to achieve most of the systems requirements such as reducing the overshoot, maintain a high system response, achieve a good load disturbances rejection and maintain robustness. The cwerage of the estimated error had been calculated using grey prediction algorithm. Those two parameters were used to calculate the gain of the controller (K"), integral time g) and the derivative time Qa) for PID controller. Simulations for the proposed algorithm had been done for dffirent process models. A comparison between the proposed tuning rules and the traditional tuning rules is done through the Matlab software to show the efficiency of the new tuning rule.

Item Type:Article
Uncontrolled Keywords:ITAE criteria, AMIG tuning rule, PID, grey prediction algorithm
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:Electrical Engineering
ID Code:38200
Deposited By:INVALID USER
Deposited On:14 May 2014 13:09
Last Modified:25 Oct 2017 11:13

Repository Staff Only: item control page