Artificial Intelligent Tuning PI Controller on Wind Turbine System with Three-Phase Grid Connected System

In order to generate the electricity from the wind turbine system with a permanent magnet synchronous generator (PMSG) to the three-phase grid connected system, it is very challenging because the electricity generated from wind energy resource is inconstancy. In this paper, the electrical power between the two systems are regulated by PI controller. For tuning the gains of PI controller, artificial intelligent methods, particle swarm optimization (PSO), gravitational search algorithm (GSA), artificial neural networks (ANN), are applied. The experiments of the control systems are testing at 200 w and 400 w. The experimental results show that the rise time of an electrical power of control system at 200 w tuning gains of the PI controller by ANN combined with PSO is better than the traditional tuning methods, pole placement. Therefore, the proposed intelligent system can not only reduce the overshoot of the active power but also improve the response power

THE STUDY ELECTRICAL CIRCUIT TEST KITS AND DAMAGES ANALYSIS OF AIR CONDITIONING FOR EMPOWERING LEARNERS

Abstract The objective of this research is to empower learners who study with circuit test kits and damages analysis of air conditioning in conjunction with the experimental worksheets that have been prepared. The researchers used the tryout group to research 20 students who had completed refrigeration and air conditioning classes by selecting a specific method, finding that overall, the sample was strongly agreed (= 4.50, S.D. = 0.50) and in comparing academic achievements and evaluating student feedback, the sample was defined as students. The power electrician who has not yet enrolled in refrigeration and air conditioning courses semester 2 of the 2021 academic year was obtained by selecting 20 specific students based on the criteria, and it was found that the electrical circuit test kits and damages analysis of air conditioning could be used to effectively conduct instructional activities in conjunction with experimental worksheets at the criteria, 81.90/81.70 was higher than the established at 80/80 threshold with the academic achievement of the post-test sample, an average being statistically significantly higher than pre-test, the .05 level and the overall opinion was strongly agreeable., (= 4.56, S.D. = 0.45)    Keywords: Air conditioning, Electrical circuit, Test kits damages analysis &nbsp