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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yu-Kai Chen Kuan-Hsiung Chen |
| Copyright Year | 2010 |
| Description | Author affiliation: Innovative Design and Energy Application Laboratory (IDEAL), Department of Aeronautical Engineering, National Formosa University, Hu-Wei, Yunlin, Taiwan, R.O.C. (Yu-Kai Chen; Kuan-Hsiung Chen) |
| Abstract | This paper presents prediction maximum power point tracking (PMPPT) controller for PV-battery micro-satellite systems with body mounted Solar Panels. The proposed PMPPT method includes conventional perturbation and observation (P&O) MPPT method and grey prediction method to improve the efficacy of PV system with auto-tuning the perturbation step. This paper uses the Taiwan Universities United Simulation (TUUSIM) software to simulate the PV output power and power budget of the designed TUUSAT_1B micro-satellite. From the simulated and experimental results, we can see that the accuracy and MPPT speed of proposed PMPPT method are better than the conventional MPPT method for regular orbit of the micro-satellite. |
| Starting Page | 2585 |
| Ending Page | 2590 |
| File Size | 1569356 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424453948 |
| e-ISBN | 9781424453931 |
| DOI | 10.1109/IPEC.2010.5542359 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-21 |
| Publisher Place | Japan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Micro-satellite Grey system Laboratories Prediction methods CMOS image sensors Control systems Power electronics Batteries Sun Aerospace engineering Photovoltaic cells P&O Power generation |
| Content Type | Text |
| Resource Type | Article |
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