An Intelligence Maximum Power Point Tracking Controller for Human Power System

Abstract

This study is to design the intelligence maximum power point tracking controller (IMPPTC) based on the Boost power converter for Human Power Generation System. Through the new power electronics technology, IMPPTC overcomes the instability of human defects, achieves a smooth power output by using conversion technologies, and effectively improve the power conversion efficiency. Manpower generators were not made through the power converter for maximum power point tracking control in the past. Therefore, this paper proposes the intelligence maximum power point tracking (IMPPT) controller based on the characteristics of human power generation system. The most commonly used control methods include Perturb and observe algorithm (P&O), Sliding mode control (SMC) and Incremental algorithm. With the fast response and high efficiency, SMC outperforms P&O on the maximum power point tracking. This article first uses Sliding mode control (SMC) for maximum power point tracking. In addition, one of the drawbacks of SMC is the inability of suppressing noises. By PSIM software that SMC at the maximum power point tracking than P&O fast response and high efficiency. In addition, one of the drawbacks of SMC is the inability of suppressing noises. This study propose Extension theory suppress noise for SMC. The simulation results proved that the proposed method can provide better response on the maximum power point tracking performance and possess higher conversion efficiency.