機電工程學系
Permanent URI for this communityhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/84
系所沿革
為迎合產業機電整合人才之需求,本校於民國 91年成立機電科技研究所,招收碩士班學生;隨後並於民國93年設立大學部,系所整合為「機電科技學系」,更於101學年度起招收博士班學生。103學年度本系更名為「機電工程學系」,本系所之發展方向與目標,係配合國家政策、產業需求與技術發展趨勢而制定。本系規劃專業領域包含「精密機械」及「光機電整合」 為兩大核心領域, 使學生不但學有專精,並具跨領域的知識,期能強化學生之應變能力,以適應多元變化的明日社會。
教學目標主要希望教導學生機電工程相關之基本原理與實務應用的專業知能,並訓練學生如何運用工具進行設計、執行、實作與驗證各項實驗,以培養解決機電工程上各種問題所需要的獨立思考與創新能力。
基於建立系統性的機電工程整合教學與研究目標,本系學士班及研究所之教育目標如下:
一、學士班
1.培育具備理論與實作能力之機電工程人才。
2.培育符合產業需求或教育專業之機電工程人才。
3.培育具備人文素養、專業倫理及終身學習能力之機電工程人才。
二、研究所
1.培育具備機電工程整合實務能力之專業工程師或研發人才。
2.培育機電工程相關研究創新與產業應用之專業工程師或研發人才。
3.培育具備人文素養、專業倫理及終身學習能力之專業工程師或研發人才。
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Item 機電整合應用於彩色印刷及教學設備之研製(1997-07-01) 屠名正Item 技職體系課程一貫性問題探討--以機械力學課程為例(教育部技術及職業教育司, 1999-12-01) 屠名正; 張宏光Item 專題製作發想活動設計之研究(1999-01-01) 吳明雄; 葉榮木; 屠名正; 鍾協衡; 張宗憲Item Multi-stage Inference Fuzzy Logic Control(Institute of Electrical and Electronics Engineers (IEEE), 1997-07-01) Yeh, Zong-Mu; Chen, Hung-PinThis paper presents a methodology to the design of a multistage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the multistage inference. This proposed method can reduce the design cycle time. The new method has been applied to a two-trailer-and-truck system. The simulation studies showed that proposed method is feasible.Item Cross-Coupled Fuzzy Logic Control for Biaxial Servomechanisms(Institute of Electrical and Electronics Engineers (IEEE), 1996-09-08) Yeh, Zong-Mu; Tarng, Y.S.; Lin, Y.S.This paper presents a design and implementation case study that focuses on contour of a biaxial CNC machine tools. However, it is difficult to obtain an accurate nonlinear mathematical model of cross-coupled multi-axis machine tools. In this paper we investigate an alternative to conventional approaches where we employ cross-coupled fuzzy logic controllers for improving contouring accuracy of multi-axis CNC machine tools. A new fuzzy rule-generated method which is based on a performance index of the contour error obtained from an online estimation algorithm is proposed. Experimental results have shown that the desired contouring accuracy can be achieved, and the proposed approach outperforms over uncoupled approaches. In conventional control, increasing contour feedrate for productivity may result in larger contour errors. However, the experimental results have shown that the performance of the proposed approach is still quite good with the increasing contour feedrate.Item A Bi-tree Multi-stage Inference Fuzzy Control System(Institute of Electrical and Electronics Engineers (IEEE), 1996-12-11) Yeh, Zong-Mu; Chen, Hung-PinThis paper presents a methodology for the design of a binary tree multi-stage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.Item A Novel Approach for Multi-Stage Inference Fuzzy Control(Institute of Electrical and Electronics Engineers (IEEE), 1998-12-01) Yeh, Zong-Mu; Chen, Hung-PinThis paper presents a methodology to the design of a multistage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the multistage inference. This proposed method can reduce the design cycle time. In order to reduce the computation time, a method for precomputing the match-degrees of fuzzy values is adopted. Thus, the number of operations that must be carried out at execution time can be significantly reduced. The new method has been applied to two applications, a two-trailer-and-truck system and a three-trailer-and-truck system. The simulation studies showed that the proposed method is feasible.Item A Systematic Method for Design of Multivariable Fuzzy Logic Control Systems(Institute of Electrical and Electronics Engineers (IEEE), 1999-12-01) Yeh, Zong-MuThis paper proposes a systematic method to design a multivariable fuzzy logic controller for large-scale nonlinear systems. In designing a fuzzy logic controller, the major task is to determine fuzzy rule bases, membership functions of input/output variables, and input/output scaling factors. In this work, the fuzzy rule base is generated by a rule-generated function, which is based on the negative gradient of a system performance index; the membership functions of isosceles triangle of input/output variables are fixed in the same cardinality and only the input/output scaling factors are generated from a genetic algorithm based on a fitness function. As a result, the searching space of parameters is narrowed down to a small space, the multivariable fuzzy logic controller can quickly constructed, and the fuzzy rules and the scaling factors can easily be determined. The performance of the proposed method is examined by computer simulations on a Puma 560 system and a two-inverted pendulum system.Item A Cross-Coupled Fuzzy controller for Biaxis Servomechanism Control(Elsevier, 1998-08-01) Yeh, Zong-MuThis paper presents a methodology to design a cross-coupled bistage fuzzy controller for cross-coupled servomechanisms. In the bistage fuzzy inference, the consequence in the first stage is passed to the second stage as fact and the consequence of the second stage is used as the control input. The proposed approach is used to reduce the complexity of the fuzzy system. A more systematic method which is based on a performance index of the fuzzy control system is developed to generate bistage fuzzy rule sets. To show the effectiveness, the proposed approach is applied to control a cross-coupled biaxial servomechanism system which is difficult to obtain by an accurate nonlinear mathematical model in the case of a circular trajectory. Simulation results have shown that the desired contouring the accuracy can be achieved, and the proposed approach outperforms the uncoupled approaches.Item Cross-coupled fuzzy logic control for multiaxis machine tools(Elsevier, 1997-12-01) Yeh, Zong-Mu; Tarng, Y.S.; Lin, Y.S.This paper presents a design and implementation case study that focuses on contour control of a biaxial CNC machine tools. Since, it is difficult to obtain an accurate nonlinear mathematical model of cross-coupled multiaxis machine tools, here we investigate an alternative to conventional approaches where we employ crosscoupled fuzzy logic controllers for improving the contouring accuracy of multiaxis CNC machine tools. A new fuzzy rule-generated method which is based on a performance index of the contour error obtained from an on-line estimation algorithm is proposed. An adapted output scale factor is adopted to improve the system performance. Experimental results have shown that the desired contouring accuracy can be achieved, and the proposed approach outperforms over uncoupled approaches. In conventional control, increasing contour feedrate for productivity may result in larger contour errors. However, the experimental results have shown that the performance of the proposed approach is still quite good with increasing contour feedrate.