2012•Unpublished venueRequires access

Comparison between optimally-tuned PID with self-tuning PID for steam temperature regulation

Mazidah Tajjudin, Mohd Hezri Fazalul Rahiman, Norlela Ishak, Ramli Adnan, Hashimah Ismail

Open publisher page 18 citations

Abstract

Performance of conventional PID controller was compared against the self-tuning PID with pole-placement method for steam temperature regulation. The comparisons were done by MATLAB simulation to evaluate the performance of the controllers in terms of set point regulation, response towards set point changes and disturbance rejection. The PID was optimally-tuned using GA with model reference input that will specify the desired closed-loop trajectory during controller optimization. The self-tuning PID control on the other hand was synthesized using pole-placement with type-A PID structure. Generally, both controllers' gave satisfactory response in every aspect but the IAE index shows that the self-tuning PID was superior.

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What this paper is about

Performance of conventional PID controller was compared against the self-tuning PID with pole-placement method for steam temperature regulation. The comparisons were done by MATLAB simulation to evaluate the performance of the controllers in terms of set point regulation, response towards set point changes and disturbance rejection. The PID was optimally-tuned using GA with model reference input that will specify the desired closed-loop trajectory during controller optimization. The self-tuning PID control on the other hand was synthesized using pole-placement with type-A PID structure. Generally, both controllers' gave satisfactory response in every aspect but the IAE index shows that the self-tuning PID was superior.

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OpenAlex reports 18 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Performance of conventional PID controller was compared against the self-tuning PID with pole-placement method for steam temperature regulation. The comparisons were done by MATLAB simulation to evaluate the performance of the controllers in terms of set point regulation, response towards set point changes and disturbance rejection. The PID was optimally-tuned using GA with model reference input that will specify the desired closed-loop trajectory during controller optimization. The self-tuning PID control on the other hand was synthesized using pole-placement with type-A PID structure. Generally, both controllers' gave satisfactory response in every aspect but the IAE index shows that the self-tuning PID was superior.

Key concepts: PID controller, Control theory (sociology), Set point, MATLAB, Trajectory, Controller (irrigation), Computer science, Temperature control

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