PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay

碩士 === 國立屏東科技大學 === 機械工程系 === 92 === The PID controllers are wildly applied in industry for its mature technology and easy to use. Mathematical measures are utilized in most controllers’ design; however, practical methods are more eagerly needed in factories. Based on experimental Design...

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Main Authors: Ming-hong Shieh, 謝旻宏
Other Authors: Chin-min Hsiung
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/39360317713430666855
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spelling ndltd-TW-092NPUST4890482016-12-22T04:11:30Z http://ndltd.ncl.edu.tw/handle/39360317713430666855 PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay 一階具時間延遲系統以實驗方法進行PI/PID控制器的微調 Ming-hong Shieh 謝旻宏 碩士 國立屏東科技大學 機械工程系 92 The PID controllers are wildly applied in industry for its mature technology and easy to use. Mathematical measures are utilized in most controllers’ design; however, practical methods are more eagerly needed in factories. Based on experimental Design three PID controllers’ processes are provided in this research. These three experimental methods are Response Surface Methodology, Steepest Descent Method, and Fractional Factorial Design. There are steps of Response Surface Methodology search: through systemic experiment to improve statistics, so as to attain the final reflective point. The result shows that the effective PID controllers’ statistics which is different from theoretical method are provided in this research and are suitable for industry application. Steepest Descent Method is basically similar to Response Surface Methodology Search, but its searching implement is Steepest Descent Method on the second step. The conception of Fractional Factorial Design is to replace the Full Factorial design with Partial Factorial design in fine-tuning experiment. The design of treatment could avoid the necessity of using strict precision and the difficulty of discriminate treatment from inaccuracy. By exercising treatment, the better controlling parameter could be successfully attained. Furthermore, the efficiency increased two times when compared with Full Factorial design. PID controller could be adjusted to the best status through the three fine tuning processes which mentioned above. In short, this article provides PID controller’s steps in fine tuning and design method which is different from other theoretical analysis. Chin-min Hsiung 熊京民 2004 學位論文 ; thesis 78 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立屏東科技大學 === 機械工程系 === 92 === The PID controllers are wildly applied in industry for its mature technology and easy to use. Mathematical measures are utilized in most controllers’ design; however, practical methods are more eagerly needed in factories. Based on experimental Design three PID controllers’ processes are provided in this research. These three experimental methods are Response Surface Methodology, Steepest Descent Method, and Fractional Factorial Design. There are steps of Response Surface Methodology search: through systemic experiment to improve statistics, so as to attain the final reflective point. The result shows that the effective PID controllers’ statistics which is different from theoretical method are provided in this research and are suitable for industry application. Steepest Descent Method is basically similar to Response Surface Methodology Search, but its searching implement is Steepest Descent Method on the second step. The conception of Fractional Factorial Design is to replace the Full Factorial design with Partial Factorial design in fine-tuning experiment. The design of treatment could avoid the necessity of using strict precision and the difficulty of discriminate treatment from inaccuracy. By exercising treatment, the better controlling parameter could be successfully attained. Furthermore, the efficiency increased two times when compared with Full Factorial design. PID controller could be adjusted to the best status through the three fine tuning processes which mentioned above. In short, this article provides PID controller’s steps in fine tuning and design method which is different from other theoretical analysis.
author2 Chin-min Hsiung
author_facet Chin-min Hsiung
Ming-hong Shieh
謝旻宏
author Ming-hong Shieh
謝旻宏
spellingShingle Ming-hong Shieh
謝旻宏
PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay
author_sort Ming-hong Shieh
title PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay
title_short PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay
title_full PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay
title_fullStr PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay
title_full_unstemmed PI/PID Fine Tuning Method Based on Experimental Design for the First Order System with Time Delay
title_sort pi/pid fine tuning method based on experimental design for the first order system with time delay
publishDate 2004
url http://ndltd.ncl.edu.tw/handle/39360317713430666855
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