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Auto Tuning Pid Temperature Controllertreerealestate

M303 - PID autotune thermal Auto-tune the PID system to find stable values. Target temperature. U Use PID result. (Otherwise just print it out.). Tuning a PID (Three-Mode) Controller Tuning a temperature controller involves setting the proportional, integral, and derivative values to get the best possible control for a particular process.

Source

2009 IEEE International Symposium on IT in Medicine&Education>1>215 - 220

Fuzzy Logic PID, Auto Tuning, and Soft Start features combine for uncompromising, state-of-the-art control Dual 4-digit LED displays of process and setpoint values User friendly menus and tactile keypad for easy programming.

Abstract

In order to control systems that contain nonlinearities or uncertainties, control strategies must deal with the effects of these. Since most control methods based on mathematical models have been mainly focused on stability robustness against nonlinearities or uncertainties, they are limited in their ability to improve the transient responses. In this paper, a nonlinear fuzzy auto-tuning PID control method is built, which can stably improve the transient responses of systems disturbed by nonlinearities or unknown mathematical characteristics. Although the derivation of the control law is based on the design procedure for general fuzzy logic controllers, the resultant control algorithm has analytical form with time varying PID gains rather than linguistic form. This means the proposed method can be easily and effectively applied to real-time control situations. It will be implemented by using an ARM processor LPC2210 from Philips. Control simulations are carried out to evaluate the transient performance of the suggested method through example systems, by comparing its responses with the nonlinear fuzzy PID control method.

Identifiers

book ISBN : 978-1-4244-3928-7
book e-ISBN : 978-1-4244-3930-0
DOI 10.1109/ITIME.2009.5236430

Authors

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Tuning A Pid Controller

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Auto Tuning Pid Temperature Controllertreerealestate

Jing Li-xia

  • Dept. of Comput. Sci.&Applic., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China

Zhao Cheng

  • Dept. of Electron.&Commun. Eng., Zhengzhou Inst. of Aeronaut. Ind. Manage., Zhengzhou, China

Keywords

uncertain systemscontrol system synthesisfuzzy controlnonlinear control systemsrobust controltemperature controlthree-term controltime-varying systemsreal-time control situationnonlinear fuzzy autotuning PID control systemuncertainty controlstability robustnesstemperature controllertransient responsefuzzy logic controller designtime varying gainGalliumAlgorithm design and analysisTransient analysisData mining

Pid Controller Tuning Methods

uncertain systemscontrol system synthesisfuzzy controlnonlinear control systemsrobust controltemperature controlthree-term controltime-varying systemsreal-time control situationnonlinear fuzzy autotuning PID control systemuncertainty controlstability robustnesstemperature controllertransient responsefuzzy logic controller designtime varying gainGalliumAlgorithm design and analysisTransient analysisData mining

Pid Controller Tuning Guide

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Auto Tune Pid Temperature Controller

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