本論文主要探討如何設計自組式模糊系統與實現模糊系統晶片及其應用。自組式模糊系統只須少量歸屬函數的參數便能建構模糊系統，利用遺傳演算法搜尋最佳參數解使其建構的模糊系統具有較高的效能。進一步以VHDL硬體描述語言來設計具有高彈性與處理速度較快的自組式模糊系統硬體電路並實現在FPGA晶片中，另外設計一個應用程式讓使用者輸入歸屬函數的參數與規則庫便能輕易地產生所需模糊系統的VHDL硬體電路程式碼。本論文以「二輸入單輸出」的倒單擺控制系統為例成功的完成基於遺傳演算法的自主式模糊系統設計及模糊系統硬體電路設計與驗證。在完成自組式模糊系統的硬體電路設計之後，本論文提出通用非同步收發傳輸器IP的設計並結合模糊系統硬體電路與Nios嵌入式處理器以實現模糊系統晶片。本論文利用Nios處理器中的UART介面傳輸歸屬函數參數與規則庫資料以建構所需的模糊系統。因此所設計的模糊系統晶片可應用在各種控制問題上並輕易的讓使用者依照所需的控制問題設計模糊系統晶片。此外，本論文設計一個系統開發介面，提供使用者可以藉由此開發介面來設定所想要的模糊系統參數以及規則庫資訊等，並且可以自動產生Nios嵌入式處理器之C語言程式碼、自動編譯、下載整合與ISP功能，其可以讓使用者很輕易的依實際需要設定所需模糊系統晶片。最後以兩種不同形式的控制問題來做應用，分別為「單輸入單輸出」的汽車跟隨防撞系統與「三輸入三輸出」的無線遙控全方位移動系統，以驗證所提的模糊系統晶片之設計與實現確實有效且可行。 In this dissertation, a design and implementation of a fuzzy system chip is proposed. First, a self-generating method based on a genetic algorithm (GA) is proposed to automatically construct a high performance fuzzy system. Then, a fuzzy system hardware design method by using VHSIC hardware description language (VHDL) is proposed so that the fuzzy system hardware implemented on an FPGA chip has a great flexibility and a high process speed. Moreover, a friendly-used software tool is developed to automatically generate VHDL codes for the users to easily design their fuzzy system hardware based on the proposed method. Some simulation results of an inverted pendulum control system are presented to illustrate the efficiency and feasibility of the proposed GA-based method in the fuzzy system design and hardware implementation. Furthermore, an intellectual property (IP) design method of universal asynchronous receiver and transmitter (UART) is proposed to integrate with fuzzy system hardware and soft IP of the Nios microprocessor for implementation of fuzzy system chip on an FPGA chip. The function of UART in Nios is used to construct a serial communication interface so that it can be used to transmit the design parameters of membership functions and rule base to set up the desired fuzzy system. Therefore, the implemented fuzzy system chip is a multi-applications chip, which can be organized by the users to design their fuzzy systems based on their applications. Besides, a system development application program is created to set up an interface so that the users can quickly use it to design their fuzzy systems by setting some parameters. Finally, in order to illustrate the multi-applications and effectiveness of the proposed fuzzy system chip, one-input-one-output car-following system and three-inputs-three-outputs remote-controlled omnidirectional mobile system are designed and implemented.
