MICRO-COMPUTER BASED ENHANCED FUZZY CONTROLLER APPLIED TO A RENEWABLE ENERGY SYSTEM
Fawzan Mohamed Salem;
Abstract
Simulation results are presented in this chapter to show the validity of the EFPIC. After describing the EFPIC's structure using Matlab, two numerical examples for a second-order system with delay as well as a nonlinear system, are examined. Simulation results are compared with those obtained using a PI-controller whose gains are tuned either by Ziegler-Nichols method or chosen carefully after several trials. The results are compared also with the self-tuning fuzzy controller (STFPIC) proposed in reference [11]. In spite of its large rule base, the STFPIC could not introduce performances better than that of the proposed EFPIC, in terms of several performance measures such as rise time, settling time, and overshoot.
Then, simulations are extended to include the maximum power point tracking
(MPPT) problem in a stand-alone photovoltaic (PV) module considering several case studies. The results are compared with those obtained using a PI-controller whose gains are accurately identified. Both the EFPIC as well as the PI-controller prove their abilities in driving the PV module to its maximum power point with superiority to the EFPIC in terms of majority of the performance measures. This leads to a significant increase in the delivered power, especially when the direct coupling operating point is far from the maximum power one.
To perform a subjective evaluation, the robustness of the controllers are tested assuming that the system is exposed to several parametric variations such as radiation level changes, solar cell temperature changes, load changes, and when subjected to all of these changes together.
Then, simulations are extended to include the maximum power point tracking
(MPPT) problem in a stand-alone photovoltaic (PV) module considering several case studies. The results are compared with those obtained using a PI-controller whose gains are accurately identified. Both the EFPIC as well as the PI-controller prove their abilities in driving the PV module to its maximum power point with superiority to the EFPIC in terms of majority of the performance measures. This leads to a significant increase in the delivered power, especially when the direct coupling operating point is far from the maximum power one.
To perform a subjective evaluation, the robustness of the controllers are tested assuming that the system is exposed to several parametric variations such as radiation level changes, solar cell temperature changes, load changes, and when subjected to all of these changes together.
Other data
Title | MICRO-COMPUTER BASED ENHANCED FUZZY CONTROLLER APPLIED TO A RENEWABLE ENERGY SYSTEM | Other Titles | استخدام الميكروكمبيوتر لبناء حاكم هلامى معدل وتطبيقه على نظام للطاقة المتجددة | Authors | Fawzan Mohamed Salem | Issue Date | 2006 |
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