Abstract—A high-performance DC-AC power converter using adaptive control technique for advanced material machining (AMM) is developed in this paper. The presented technique combines the merits of hyperbolic tangential sliding surface (HTSS) and adaptive neuro-fuzzy inference system (ANFIS). The HTSS not only has the robustness of classic SMC but increases the system trajectory convergence speed. However, once a highly nonlinear load occurs, the chattering still exists. The chattering causes high total harmonic distortion (THD) in DC-AC power converter output voltage, thus yielding the instability and unreliability of advanced material machining. The ANFIS is thus employed to eliminate the chattering and simultaneously the HTSS provides finite system-state convergence time. By combining HTSS with ANFIS, the DC-AC power converter of AMM will achieve robust performance. Experimental results are given to conform that the proposed technique can obtain low total harmonic distortion (THD) and fast transience even under phase-controlled loads. Owing to the notable superiorities, e.g. computational quickness, practical simplicity, and programmable easiness in the proposed technique, this paper will be a helpful reference to researchers of related advanced material machining.

Index Terms—DC-AC power converter, advanced material machining (AMM), hyperbolic tangential sliding surface (HTSS), adaptive neuro-fuzzy inference system (ANFIS)

Cite: En-Chih Chang, Wei Liu, Hongshu Huang, and Rong-Ching Wu, "High-Performance DC-AC Power Converter Using Adaptive Control Technique for Advanced Material Machining," Jounal of Automation and Control Engineering, Vol. 5, No. 1, pp. 5-9, June, 2017. doi: 10.18178/joace.5.1.5-9