利用電磁感應進行金屬熱處理時，往往缺乏一個穩定的溫度控制系統，造成良率不高與成本浪費等等問題。在眾多控制理論當中，以模糊控制器最為適合電磁感應加熱系統之應用，蟻群演算法做為一種全局搜索式演算法，相當適合用來調整控制器之參數。因此本研究利用修改後之蟻群演算法，對傳統模糊控制器之模糊隸屬度進行優化處理，使得電磁感應加熱系統於高溫環境下亦能快速收斂且穩定控溫。利用MATLAB數學軟體對控制器性能進行模擬比較，其結果顯示，蟻群演算法調變模糊隸屬度確實能達到快速收斂且穩定控制之目的。最後於電磁感應加熱實驗中，利用本系統配合溫度控制器進行控溫實驗，其控制性能指標皆較傳統模糊控制器與傳統PID控制器更為優異，驗證了本研究方法之可行性。

The lack of a stable temperature control system for the metal heat-treatment with electromagnetic induction often results in low yield and cost waste. Among various control theories, fuzzy controllers are the most suitable for electromagnetic induction heating systems. Moreover, Ant Colony Optimization, as a global search algorithm, is suitable for adjusting controller parameters. Modified Ant Colony Optimization is therefore utilized in this study for optimizing the fuzzification interface of traditional fuzzy controllers so that electromagnetic induction heating systems present fast convergence and stable temperature control under high-temperature environment. MATLAB is used in this study for simulating and comparing the controller properties. The results reveal that modulating the fuzzification interface with Ant Colony Optimization could actually achieve fast convergence and stable control. Finally, the temperature controller is matched with the system for the temperature control experiment in the electromagnetic induction heating experiment. The control property indicators outperform traditional fuzzy controllers and PID controllers to prove the practicability of this study.

[1] 機械工程手冊電機工程手冊輯委員會，「熱處理與表面處理-精密製造」，五南出版社，2005。
[2] Y. Wang, and F. Cao, “Induction Heating Power Supply Temperature Control Based on a Novel Fuzzy Controller,” International Conference on Computer and Electrical Engineering, January 2009.
[3] 余煥騰、陳適範、唐自標，「金屬熱處理學(上冊)」，六合出版社，1998。
[4] M. C. Kayacan, and O. Colak, “A fuzzy approach for induction hardening parameters selection,” ELSEVIER Materials & Design ,vol. 25, no. 2, pp. 155–161, Apr. 2004.
[5] Z. Dong, Y. Li, and S. Zhang, “Fuzzy Temperature Control of Induction Cooker,” Industrial Electronics Society , IECON - 43rd Annual Conference of the IEEE, Dec. 2017.
[6] C. J. Zhou, Z. S. Wang, and R. A. Meng, J. D. Sun, “Research of Paper Machine Electromagnetic Dryer Based on Intelligence Control System,” International Conference on Electronic & Mechanical Engineering and Information Technology, Sep. 2011.
[7] Z. Muhammad, Z. M. Yusoff, M. H. F. Rahiman, and M. N. Taib, “Design and Implementation of Fuzzy Logic Controller for Induction Based Steam Distillation System,” IEEE 10th International Colloquium on Signal Processing & its Applications, Apr. 2014.
[8] Z. Zheng, W. Guocheng, and L. Xiaowei, “An Intelligent Monitoring System of Medium-Frequency Induction Furnace Based on Fuzzy Control,” International Conference on Intelligent System Design and Engineering Application, Oct. 2010.
[9] 戴書哲，「電磁熱療系統之自調式模糊溫度控制」，國立成功大學電機工程學系碩士論文，2014。
[10] 林國恩，「電磁熱療系統之自調式模糊溫度控制與調適性網路模糊推論溫度預估模型建置」，國立成功大學電機工程學系碩士論文，2015。
[11] 許元瑞，「結合類神經網路學習機制與溫度參考曲線模型之模糊溫度控制器於電磁熱療系統之應用」，國立成功大學電機工程學系碩士論文，2016。
[12] S. Yugang, W. Xueqin, D. Cuijing, and S. Yue, “Fuzzy Control Method with Forward Feedback Integration for Table Furnace,” The 38th Annual Conference Proceedings of the SICE Annual, pp. 1193–1197, Jul. 1999.
[13] Y. Park, U. Moon, and K. Y. Lee, “A Self-organizing Fuzzy Logic Controller for Dynamic Systems Using a Fuzzy Auto-Regressive Moving Average(FARMA) Model,” IEEE Transactions on Fuzzy Systems, vol. 3, no. 1, pp. 75–82, Feb. 1995.

[14] E. Cerruto, A. Consoli, A. Paciti, and A. Testa, “Fuzzy Adaptive Vector Control of Induction Motor Drives,” IEEE Transactions on Power Electronics, vol. 12, no. 6, pp. 1028–1040, Nov. 1997.
[15] F. Betin, A. Sivert, A. Yazidi, and G. A. Capolono, “Determination of Scaling Factors for Fuzzy Logic Control Using the Sliding-Mode Approach Application to Control of a DC Machine Drive,” IEEE Transactions on Industrial Electronics, vol. 54, no. 1, pp. 296–309, Feb. 2007.
[16] Y. J. Yoon, Y. J. Lee, T. H. Won, C. S. Kim, and M. H. Lee, “A Study on Design of Fuzzy Logic Control Using Adaptive Scaling Factor,” IEEE International Symposium on Industrial Electronics (ISIE), vol. 1, pp. 320–325, Jun. 2002.
[17] J. Victor, and A. Dourado, “Adaptive Scaling Factors Algorithm for the Fuzzy Logic Controller,” The 6th IEEE international Conference on Fuzzy Systems, vol. 2, pp.1021–1026, Jul. 1997.
[18] V. Berthier, and O. Teytaud, “Sieves Method in Fuzzy Control: Logarithmically increase the number of rules,” IEEE International Conference on Fuzzy Systems, pp. 1–9, Oct. 2015.
[19] 段海滨，王道波，黄向华，朱家强 「基於蟻群演算法的PID參數優化」，武漢大學學報，第37卷，第5期，10月，2004。
[20] 吳信璋，「遞減式螞蟻族群演算法在PID控制參數調整之研究」，國立高雄海洋科技大學輪機工程研究所碩士論文，1997。
[21] 潘世文，「混合基因演算法與蟻群最佳化模糊控制器之設計」，國立成功大學電腦與通信工程研究所碩士論文，2000。
[22] C. F. Juang, C. M. Lu, C. Lo, and C. Y. Wang, “Ant Colony Optimization Algorithm for Fuzzy Controller Design and Its FPGA Implementation,” IEEE transactions on industrial electronics, vol. 55, no. 3, Mar. 2008.
[23] S. Bououden, H.R. Karimi, and M. Chadli, “Fuzzy Predictive Controller Design Using Ant Colony Optimization Algorithm,” IEEE International Symposium on Intelligent Control (ISIC) Part of 2014 IEEE Multi-conference on Systems and Control October 8-10, 2014. Antibes, France, Oct. 2014.
[24] L. A. Zadeh, “Fuzzy Sets,” Information and Control, vol. 8, pp. 338–353, Jun. 1965.
[25] L. A. Zadeh, “Outline of a New Approach to the Analysis of Complex Systems and Decision Processes,” IEEE Transactions on Systems, Man and Cybernetics, vol. 3, no. 3, pp. 28–44, Jan. 1973.
[26] C. C. Lee, “Fuzzy Logic in Control Systems：Fuzzy Logic Controller, part1,” IEEE Transaction on Systems, Man and Cybernetics, vol. 20, no. 2, pp. 404–418, Mar. 1990.

[27] C. C. Lee, “Fuzzy Logic in Control System：Fuzzy Logic Controller, part2,” IEEE Transaction on Systems, Man and Cybernetics, vol. 20, no. 2, pp. 419–435, Apr. 1990.
[28] M. Dorigo, V. Maniezzo, and A. Colorni, “Ant System: Optimization by a Colony of Cooperating Agents,” IEEE transactions on systems, man, and cybernetics-part b cybernetics, vol. 26, no. 1, February, Feb. 1996.
[29] A. Colorni, M. Dorigo, and V. Maniezzo, “Distributed optimization by ant colonies,” Proceedings of the 1st European Conference on Artificial Life, pp. 134–142, Jul. 2006.
[30] K. M. Sim, and W. H. Sun, “Ant Colony Optimization for Routing and Load-Balancing: Survey and New Directions,” IEEE transactions on systems, man, and cybernetics—part a: systems and humans, vol. 33, no. 5, Nov. 2003.
[31] J. F. Gómez, H. M. Khodr, P. M. De Oliveira, L. Ocque, J. M. Yusta , R. Villasana, and A. J. Urdaneta, “Ant Colony System Algorithm for the Planning of Primary Distribution Circuits,” IEEE transactions on power systems, vol. 19, no. 2, May. 2004.
[32] A. Y. Saber, and T. Senjyu, “Memory-Bounded Ant Colony Optimization With Dynamic Programming and A* Local Search for Generator Planning,” IEEE transactions on power systems, vol. 22, no. 4, November, Oct. 2007.
[33] 史峰，王輝，「MATLAB智能算法30個案例分析」，北京航空航天大學出版社，4月，2011。
[34] 賴耿陽，「高週波工業應用技術」，復漢出版社，1987。
[35] 陳熹棣，「高週波基礎理論與應用 淬火、微波加熱、電漿、超音波加工」，全華出版社，1995。
[36] C. Cheng, “Design of Fuzzy Controller for Induction Heating Using DSP,” in Proc. 5th Conf. on Ind. Elec. and App., pp. 2276–2280, Jul. 2010.
[37] Y. Wang, “Study of Induction Heating Power Supply Based on Fuzzy Controller,” The 4th IEEE Conference on Industrial Electronics and Applications (ICIEA), pp. 726–729, May. 2009.
[38] 朱紅霞，沈炯，王培紅，李益國，「基於免疫遺傳演算法的模糊優化控制及其仿真」，東南大學學報，第35卷，第1期，2005。
[39] 何明字，楊松霈，陳信助，「自動控制系統」，高立圖書有限公司，2015。