Browsing by Author "Shu-Han Chu"

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    Intelligent Digital Redesign of T-S Fuzzy Controller via Particle Swarm Optimization
    (Serials Publications, 2011-07-01) Chen-Chien Hsu; Shu-Han Chu; Yi-Hsing Chien
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    PSO-Based Intelligent Digital Redesign of T-S Fuzzy Controller
    (2011-06-10) Chen-Chien Hsu; Shu-Han Chu; Yi-Hsing Chien
    In this paper, a novel method is proposed to solve the complex mathematical model of digital redesign of nonlinear systems which is regarded difficult to approximate. The paper uses the T-S fuzzy model and particle swarm optimization (PSO) to search for the range of digital-controller parameters and to obtain the optimized digital controller using this algorithm. Due to the difficulty in establishing the discrete model of the interval system and designing the digital controller of the interval system, we have formulated the design problem into an optimization problem of a cost function. First, we process the continuous-time nonlinear systems using the T-S fuzzy model, followed by designing a continuous-time controller using individual rules. The next step is to express all possible linear systems as interval systems and search for the range of digital-controller parameters using PSO to narrow down the search range and conveniently search for the optimal solutions. According to the search range of digital controller parameters, the PSO is used to search for the discrete-time controller based on individual rules, so that the states of the discrete-time model based on the fuzzy model approximate to those of the continuous-time nonlinear systems. Finally, one example is given to prove this method is more accurate than the existing one with faster execution speed.
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    以軟硬體協同設計之目標物移動方向模糊辨識系統
    (2012) 朱書漢; Shu-Han Chu
    　　本論文利用Altera DE2-70實驗板以及模糊邏輯理論，提出一種以軟硬體協同設計之模糊目標物移動方向辨識系統，在SOPC (System on Program Chip, SOPC)之系統架構下，利用FPGA (Field Programming Gate Array)的硬體電路優勢，以軟硬體協同設計 (HW/SW Co-design)之方式實現硬體加速之功能。作法上係利用硬體電路獲得目標物影像之歷史軌跡，並用Nios II計算上、下、左、右方向的計數，再將此計數傳送到模糊邏輯推論的硬體電路，即可得到目標物體的移動方向。實驗結果證實本方法可以利用機器視覺來辨識目標物的移動方向，實現互動式之人機介面，達到控制機器的運作。論文整體架構大致上可分為： (1)以軟體實現此系統的演算法、 (2)將此系統實現於Altera DE2-70開發版之晶片設計，希望利用硬體平行處理的優勢，加速其演算法的速度。