Author: Chan, Yu-tak
Title: Automatic parameter tuning of PID controllers
Year: 1999
Subject: PID controllers
Self-tuning controllers
Automatic control
Heating -- Control
Ventilation -- Control
Air conditioning -- Control
Hong Kong Polytechnic University -- Dissertations
Department: Multi-disciplinary Studies
Department of Electronic Engineering
Pages: iv, 95 leaves : ill. (some col.) ; 31 cm
Language: English
Abstract: The PID controller is widely applied in the industrial control process. Manual tuning of the controller will be a time-consuming job. Moreover, the response during the tuning period will sometimes be unacceptable. This project will provide a tuning algorithm to on-line monitor the changes of the process parameters so that the controller parameters can be modified accordingly to meet the specification. The heating, ventilation and air-conditioning (HVAC) system is studied. Usually, it is taken as a typical SISO first order system for most of the industrial processes. Since an inherent delay time borne with the HVAC heating/cooling process, a genetic algorithm (GA) is adopted to search the optimal delay time in parallel with the recursive least square method (RLS) for the estimation of the process parameters. Upon the process parameters being determined, the PID controller is tuned to give an overall first order response system, which has no overshoots and oscillations.

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