Abstract

This study uses a sliding mode control (SMC) in a generator-based exercise equipment (GBEE) with nonlinear P-V characteristic curves. A P-V characteristics curve can be influenced by varying the pedaling speed of the generator. The traditional maximum power point tracking (MPPT) control method is used with perturb and observe algorithms (P&O), extremum seeking control (ESC), etc. However, these control methods are not robust enough for control. SMC is created by two pattern methods for robustness control, approaching and sliding conditions. However, SMC allows infinite high-frequency switching of the sign function. If the sign function is used to switch the converter, it will cause the converter and switch life to be cut short, and also to form high frequency noise. Therefore, this study proposes an extension theory for an intelligent control method that will effectively improve conversion efficiency and responsiveness. This study compares generator input current waveforms for fast Fourier transform (FFT) for three different control methods. Finally, using simulation validates the stability and FFT analysis with power simulation (PSIM) software. The results of upgrading overall efficiency are about a 5% increase in efficiency and a faster response speed of about 0.5 s. The amount of generator input current harmonic is greatly reduced.

Highlights

  • Advances in science and technology have brought economic growth, as well as great consumption of many resources, oil shortage, and greenhouse effect

  • The generator-based exercise equipment (GBEE) considered here consists of a brushless direct current (DC) generator (BLDCG), three phase bridge rectifiers, power converters, etc

  • Alternating current (AC) power is converted by a rectifier to DC

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Summary

Introduction

Advances in science and technology have brought economic growth, as well as great consumption of many resources, oil shortage, and greenhouse effect. The differences in the new energy source, when compared to traditional maximum power point tracking (MPPT) control, are in the methods common to the perturb and observe algorithm (P&O) [6], extremum seeking control (ESC) [7], etc. These methods are easier and have lower costs, but they do not have robustness of control. This paper proposes an extension SMC (ESMC) that effectively reduces the high frequency switching sign function and effectively reduces the harmonic component of input current. Simulation and experimental results indicate that the proposed ESMC more effectively reduces the harmonic components of generator output

Brushless Direct Current Generator Dynamic Modeling
Boost Converter Design
Sliding Mode Control Mathematical Derivation
Summary of the Extension Theory
Harmonic Sources and Harmonic Analysis
Simulation
Findings
Conclusions
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