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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Now showing 1 - 6 of 6
  • Item
    Multi-stage Inference Fuzzy Logic Control
    (Institute of Electrical and Electronics Engineers (IEEE), 1997-07-01) Yeh, Zong-Mu; Chen, Hung-Pin
    This 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.
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    A Bi-tree Multi-stage Inference Fuzzy Control System
    (Institute of Electrical and Electronics Engineers (IEEE), 1996-12-11) Yeh, Zong-Mu; Chen, Hung-Pin
    This 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 Systematic Approach for Design of Multistage Fuzzy Control Systems
    (Elsevier, 2004-04-16) Yeh, Zong-Mu; Li, Kuei-Hsiang
    This paper proposes a systematic approach for designing a multistage fuzzy logic controller (MFLC) for large scale nonlinear systems. In designing such a controller, the major tasks are to derive fuzzy rule bases, determine membership functions of input/output variables, and design input/output scaling factors. In this work, the fuzzy rule bases are generated by rule-generated functions which are 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 optimized from a genetic algorithm based on a fitness function. As a result, the search space of the parameters is narrowed down to a small space so that the MFLC can be quickly constructed and the fuzzy rules and scaling factors can easily be determined. The performance of the proposed approach is examined by computer simulations on an inverted pendulum system. The performance of single stage structure, binary tree structure and skew-binary tree structure are compared. The binary tree structure has better performance and use fewer fuzzy rules in the illustrative example.
  • 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-Pin
    This 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 performance approach to fuzzy control design for nonlinear systems
    (Elsevier, 1994-06-24) Yeh, Zong-Mu
    This paper presents a systematic methodology to the design of a decentralized fuzzy logic controller for large-scale nonlinear systems. A new method which is based on a performance index of sliding mode control is used to derive fuzzy rules and an adaptive algorithm is used to reduce the chattering phenomenon. The simulation results of a two-inverted pendulum system and a two-link manipulator demonstrate that the attractive features of the proposed approach include a smaller residual error and robustness against nonlinear interactions.
  • Item
    Adaptive Multivariable Fuzzy Logic controller
    (Elsevier, 1997-02-16) Yeh, Zong-Mu
    This paper presents a systematic methodology to the design of a multivariable fuzzy logic controller (MFLC) for large-scale nonlinear systems. A new general method which is based on a performance index of sliding motion is used to generate a fuzzy control rule base. Reducible input variables obtained from sliding motion are adopted as input variable of the fuzzy controller and the output scale factors of the MFLC are tuned by the switching variable. Thus, the determination of the input/output scale factors becomes easier and the system performance is significantly improved. The simulation results of a Puma 560 system and a two-inverted pendulum system demonstrate that the attractive features of this proposed approach include a smaller residual error and robustness against nonlinear interactions.