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dc.contributor.advisorChing-Chih Tsaien_US
dc.contributor.authorHuang, Chih-Hungen_US
dc.description.abstract本論文的目的在發展高速工具機專用變頻式油冷卻機之高性能溫度控制器之設計方法學與實現技術。油冷卻機之近似數學模型可由其開迴路步階響應資料所獲得,或可由遞迴最小平方法則 (Recursive Least-Squares Estimation Method) 來辨識未知的近似模型系統參數。為達到高精度與高性能的目標,本文依序提出三種預估控制策略:廣義預估控制 (Generalized Predictive Control)、間接自調適應控制 (Indirect Self-Tuning Adaptive Control) 及模型參考適應控制 (Model Reference Adaptive Control),並以個人電腦 (PC-based) 及數位信號處理器 (DSP-based) 來實現所提出的三種即時預估控制法則。實驗數據可證明本論文所提的三個方法,在設定點改變、固定負載及負載改變的情況下,皆有符合規格的溫度追蹤性能。zh_TW
dc.description.abstractThis thesis develops novel methodologies and techniques for design and implementation of a high-performance temperature controller of a variable-frequency oil-cooling machine, which is often suitable for high-speed manufacturing machines. The approximate mathematical model can be obtained from the open-loop step response data, or the unknown system parameters of the model can be identified using the recursive least-squares estimation method. To achieve the goals of high-precision and high-performance, the thesis presents three predictive control strategies, such as generalized predictive control, indirect self-tuning adaptive control, and stochastic model reference adaptive control. Three real-time predictive control algorithms are proposed and implemented using PC-based and DSP-based controllers. Through experimental results, all the three proposed set-point tracking methods have been proved to be capable of giving satisfactory performance under set-point changes, fixed loads, and load changes.en_US
dc.description.tableofcontentsChinese Abstracti English Abstractii Contentsiii List of Figuresvii List of Tablesxii Nomenclaturexiii Chapter 1: Introduction1 1.1 Introduction1 1.2 Literature Review5 1.3 Description of the Temperature Control System6 1.3.1 PC-based Controller10 1.3.2 DSP-based Controller11 1.4 Contributions of the Thesis13 1.5 Organization of the Thesis15 Chapter 2: Modeling, Generalized Predictive PI Control, and Stability Robustness16 2.1 Introduction16 2.2 Mathematical Modeling17 2.3 Generalized Predictive PI Control19 2.4 Generalized Predictive PI Control Algorithm25 2.5 Analysis of Stability Robustness25 2.6 Experimental Results and Discussion29 2.6.1 PC-based Control29 2.6.2 DSP-based Control38 2.7 Concluding Remarks41 Chapter 3: Indirect Self-Tuning Predictive PI Control42 3.1 Introduction42 3.2 Parameter Estimation43 3.3 Automatic Weighting Tuning Method45 3.4 Indirect Self-Tuning PI Control Algorithm49 3.5 Experimental Results and Discussion50 3.5.1 PC-based Control50 3.5.2 DSP-based Control58 3.6 Concluding Remarks61 Chapter 4: Stochastic Model Reference Adaptive Control62 4.1 Introduction62 4.2 Stochastic Model Reference Adaptive Control (MRAC)63 4.3 Stochastic Model Reference Adaptive Control Algorithm67 4.4 Experimental Results and Discussion68 4.4.1 PC-based Control68 4.4.2 DSP-based Control77 4.5 Concluding Remarks79 Chapter 5: Summaries and Recommendations81 5.1 Summaries81 5.2 Recommendations83 Bibliography84 Appendix A88 Appendix B89 Appendix C90en_US
dc.subjectoil-cooling machineen_US
dc.subjectmachine toolen_US
dc.titlePredictive Temperature Control of a Variable-Frequency Oil-Cooling Machineen_US
dc.typeThesis and Dissertationzh_TW
item.openairetypeThesis and Dissertation-
item.fulltextno fulltext-
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