科技與工程學院
Permanent URI for this communityhttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/5
沿革
科技與工程學院（原名為科技學院）於87學年度成立，其目標除致力於科技與工程教育師資培育外，亦積極培育與科技產業有關之工程及管理專業人才。學院成立之初在原有之工業教育學系、工業科技教育學系、圖文傳播學系等三系下，自91學年度增設「機電科技研究所」，該所於93學年度起設立學士班並更名為「機電科技學系」。本學院於93學年度亦增設「應用電子科技研究所」，並於96學年度合併工教系電機電子組成立「應用電子科技學系」。此外，「工業科技教育學系」於98學年度更名為「科技應用與人力資源發展學系」朝向培育科技產業之人力資源專才。之後，本院為配合本校轉型之規劃，增加學生於科技與工程產業職場的競爭，本院之「機電科技學系」與「應用電子科技學系」逐漸朝工程技術發展，兩系並於103學年度起分別更名為「機電工程學系」及「電機工程學系」。同年，本學院名稱亦由原「科技學院」更名為「科技與工程學院」。至此，本院發展之重點涵蓋教育（技職教育/科技教育/工程教育）、科技及工程等三大領域，並定位為以技術為本位之應用型學院。
107學年度，為配合本校轉型規劃，「光電科技研究所」由原隸屬於理學院改為隸屬本（科技與工程）學院，另增設2學程，分別為「車輛與能源工程學士學位學程」及「光電工程學士學位學程」。
News
Browse
7 results
Search Results
Item 應用於橢圓車削之新型快速刀具滑台設計(2018) 汪詩偉; Wang, Shih-Wei本論文的主要目的是以軟體控制靠模數控車床為基礎，針對橢圓截面或橢圓軸，設計出創新的機構式快速刀具滑台來對加工件進行車削加工，實現大行程、高精度之橢圓外形。本論文先建構該快速刀具滑台之數學模型而後分析其運動學，包含曲柄旋轉角度(θ_2)、搖桿的擺動角度(θ_4)、刀具的位移(r_6)、速度(〖Vol〗_c)、加速度(〖Acc〗_c)及急跳度(〖Jerk〗_c)，再以粒子群演算法(Particle Swarm Optimization)來得到當急跳度最小時的最適合連桿尺寸。該快速刀具滑台上結合電子凸輪(Electric Cam)來做刀具軌跡規劃，補償車刀因位移所產生的誤差量。最後本論文以試製機台探討該快速刀具滑台對於橢圓車削後的精度，包括刀具空切模擬橢圓車削與工件的實際橢圓車削。從結果顯示，橢圓率為0.0862(切深小)與0.3965(切深大)，兩者皆以120rpm來進行車削，橢圓率小者所得到之橢圓輪廓精度優於橢圓率大者。由此可知，橢圓車削誤差主要和刀具的最大切深有關，而非主軸轉速。車削量愈多，其橢圓輪廓誤差量就愈大。研究結果顯示本論文所提出之快速刀具滑台在橢圓車削之可行性。Item 改良式非同步並行處理之粒子群聚最佳化法(2008-06-07) 許陳鑑; 林耕宇本文提出ㄧ種 改良式非同步並行處理之粒子群聚最佳化法 ，以提升粒子群聚最佳化法在不同質(heterogeneous)的計算環境中之計算效率。作法上係綜合傳統的同步與非同步並行處理計算法，以僕工作端(slave)之性能為基準，分配適當的粒子數量，以減少工作站等待時間的浪費，使計算效能得以提升。為評估本文所提出方法之有效性，我們將以minimax 最佳化問題及系統模型降階的問題作為標的，分別使用傳統的同步並行處理、非同步並行處理、ㄧ台獨立電腦、以及本文所提出之方法做比較。實驗結果指出，我們所提出的方法在兩個範例都有較好的性能展現。Item Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization(2008-06-27) Chen-Chien Hsu; Geng-Yu LinIn this paper, a novel design approach based on time-response resemblance of the closed-loop system via particle swarm optimization is proposed to improve performance of the redesigned digital system for continuous-time uncertain interval systems. The design rationale of the proposed approach is to derive a digital controller for the redesigned digital system so that step response sequences corresponding to the extremal sequence energy closely match those of their continuous counterpart under the perturbation of the plant parameters. By suitably formulating the design problem as an optimization problem, an evolution framework incorporating three PSOs (particle swarm optimizations) is presented to derive a set of optimal parameters for the digital controller. Computer simulations have shown that time responses of the redesigned digital system having an interval plant have a better resemblance to their continuous-time counter part in comparison those obtained using existing open-loop discretization methods.Item Particle swarm optimization incorporating simplex search and center particle for global optimization(2008-06-27) Chen-Chien Hsu; Chun-Hwui GaoThis paper proposes a hybrid approach incorporating an enhanced Nelder-Mead simplex search scheme into a particle swarm optimization (PSO) with the use of a center particle in a swarm for effectively solving multi-dimensional optimization problems. Because of the strength of PSO in performing exploration search and NM simplex search in exploitation search, in addition to the help of a center particle residing closest to the optimum during the optimization process, both convergence rate and accuracy of the proposed optimization algorithm can be significantly improved. To show the effectiveness of the proposed approach, 18 benchmark functions will be adopted for optimization via the proposed approach in comparison to existing methods.Item Digital redesign of uncertain interval systems based on extremal gain/phase margins via a hybrid particle swarm optimizer(Elsevier, 2010-03-01) Chen-Chien Hsu; Wern-Yarng Shieh; Chun-Hwei KaoIn this paper, a hybrid optimizer incorporating particle swarm optimization (PSO) and an enhanced NM simplex search method is proposed to derive an optimal digital controller for uncertain interval systems based on resemblance of extremal gain/phase margins (GM/PM). By combining the uncertain plant and controller, extremal GM/PM of the redesigned digital system and its continuous counterpart can be obtained as the basis for comparison. The design problem is then formulated as an optimization problem of an aggregated error function in terms of deviation on extremal GM/PM between the redesigned digital system having an interval plant and its continuous counterpart, and subsequently optimized by the proposed optimizer to obtain an optimal set of parameters for the digital controller. Thanks to the performance of the proposed hybrid optimizer, frequency-response performances of the redesigned digital system using the digital controller evolutionarily derived by the proposed approach bare a far better resemblance to its continuous-time counter part in comparison to those obtained using existing open-loop discretization methods.Item Digital redesign of uncertain interval systems based on time-response resemblance via particle swarm optimization(Elsevier, 2009-07-01) Chen-Chien Hsu; Geng-Yu LinIn this paper, a particle swarm optimization (PSO) based approach is proposed to derive an optimal digital controller for redesigned digital systems having an interval plant based on time-response resemblance of the closed-loop systems. Because of difficulties in obtaining time-response envelopes for interval systems, the design problem is formulated as an optimization problem of a cost function in terms of aggregated deviation between the step responses corresponding to extremal energies of the redesigned digital system and those of their continuous counterpart. A proposed evolutionary framework incorporating three PSOs is subsequently presented to minimize the cost function to derive an optimal set of parameters for the digital controller, so that step response sequences corresponding to the extremal sequence energy of the redesigned digital system suitably approximate those of their continuous counterpart under the perturbation of the uncertain plant parameters. Computer simulations have shown that redesigned digital systems incorporating the PSO-derived digital controllers have better system performance than those using conventional open-loop discretization methods.Item Digital redesign of uncertain interval systems via particle swarm optimization(World Academy of Science, Engineering and Technology (WASET), 2008-07-01) Chen-Chien Hsu; Chun-Hwui GaoIn this paper, a PSO-based approach is proposed to derive a digital controller for redesigned digital systems having an interval plant based on resemblance of the extremal gain/phase margins. By combining the interval plant and a controller as an interval system, extremal GM/PM associated with the loop transfer function can be obtained. The design problem is then formulated as an optimization problem of an aggregated error function revealing the deviation on the extremal GM/PM between the redesigned digital system and its continuous counterpart, and subsequently optimized by a proposed PSO to obtain an optimal set of parameters for the digital controller. Computer simulations have shown that frequency responses of the redesigned digital system having an interval plant bare a better resemblance to its continuous-time counter part by the incorporation of a PSO-derived digital controller in comparison to those obtained using existing open-loop discretization methods.