Adaptive PID Controller Using RLS for SISO Stable and Unstable Systems

The proportional-integral-derivative (PID) is still the most common controller and stabilizer used in industry due to its simplicity and ease of implementation. In most of the real applications, the controlled system has parameters which slowly vary or are uncertain. Thus, PID gains must be adapted...

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Published in:Advances in power electronics 2014, Vol.2014, p.1-5
Main Authors: Fahmy, Rania A., Badr, Ragia I., Rahman, Farouk A.
Format: Article
Language:English
Subjects:
Adaptive algorithms
Adaptive control systems
Algorithms
Behavior
Control systems
Controllers
Gain
Least squares method
Mathematical models
Proportional integral derivative
Regression analysis
Studies
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description The proportional-integral-derivative (PID) is still the most common controller and stabilizer used in industry due to its simplicity and ease of implementation. In most of the real applications, the controlled system has parameters which slowly vary or are uncertain. Thus, PID gains must be adapted to cope with such changes. In this paper, adaptive PID (APID) controller is proposed using the recursive least square (RLS) algorithm. RLS algorithm is used to update the PID gains in real time (as system operates) to force the actual system to behave like a desired reference model. Computer simulations are given to demonstrate the effectiveness of the proposed APID controller on SISO stable and unstable systems considering the presence of changes in the systems parameters.
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subjects Adaptive algorithms
Adaptive control systems
Algorithms
Behavior
Control systems
Controllers
Gain
Least squares method
Mathematical models
Proportional integral derivative
Regression analysis
Studies
title Adaptive PID Controller Using RLS for SISO Stable and Unstable Systems
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