TY - JOUR
T1 - Pitch and yaw angle control designin solar panel system using PSO-Fuzzy method
AU - Abadi, Imam
AU - Permatasari, Karina Aryanti
N1 - Publisher Copyright:
© 2006-2018 Asian Research Publishing Network (ARPN).
PY - 2018/2/1
Y1 - 2018/2/1
N2 - Recently, Indonesia has seen an increase in its overall energy consumption. While the current supply is still meeting the demand, one may wonder how to address the rapid growth of the the needs of the country overall. Alternative sources of energy that have been developed in the world such as solar energy are a great opportunity for Indonesia and its important population.Of course, the development of such utilities need a good technological and engineering approach.One way to utilize alternative sources is by making solar panel system with controlling two degrees freedom for pitch and yaw angle. To build a solar panel system, DC motors parameters, LDR data retrieval sensor, and panel data collection are required. Solar tracking system is designed by 3 controllers which are PID controller, Fuzzy Logic and PSO-Fuzzy. This research is using MATLAB/SIMULINK as a simulator by applying different total membership functions, which are 3 and 5 for Fuzzy logic control and PSO-Fuzzy. From the research performed, it could be deduced that the solar panel system has been designed and simulated using PSO-Fuzzy control mode with the input error angle and delta error of elevation angle is from -180° to 180°and azimuth angle is from -360° to 360°. Moreover, the output of fuzzy in the form of PWM DC Motor is from -255 to 255. Build upon all the PID Controller, Fuzzy Logic Controller, and PSO-Fuzzy based on the performance index that responding; basically the designed system is able to work well. The optimum result gained from PSO-Fuzzy by looking at its performance index for pitch angle are 15°, 30°, 45°with maximum overshoot (Mp) = 0%, 0%, 0%; settling time (ts) = 21.95 seconds, 21.95 Seconds, 23.86 seconds; Error Steady State (ESS) = 0.001%, 0.001%,0.0007%. and for the yaw angle 30°, 60°, 90°, and the maximum overshoot (Mp) = 0%, 0%, 0%; settling time (ts) = 38.18 seconds, 41.52 seconds, 43.47 seconds; Error Steady State (ESS) = 0.009%, 0.005%,0.003%.
AB - Recently, Indonesia has seen an increase in its overall energy consumption. While the current supply is still meeting the demand, one may wonder how to address the rapid growth of the the needs of the country overall. Alternative sources of energy that have been developed in the world such as solar energy are a great opportunity for Indonesia and its important population.Of course, the development of such utilities need a good technological and engineering approach.One way to utilize alternative sources is by making solar panel system with controlling two degrees freedom for pitch and yaw angle. To build a solar panel system, DC motors parameters, LDR data retrieval sensor, and panel data collection are required. Solar tracking system is designed by 3 controllers which are PID controller, Fuzzy Logic and PSO-Fuzzy. This research is using MATLAB/SIMULINK as a simulator by applying different total membership functions, which are 3 and 5 for Fuzzy logic control and PSO-Fuzzy. From the research performed, it could be deduced that the solar panel system has been designed and simulated using PSO-Fuzzy control mode with the input error angle and delta error of elevation angle is from -180° to 180°and azimuth angle is from -360° to 360°. Moreover, the output of fuzzy in the form of PWM DC Motor is from -255 to 255. Build upon all the PID Controller, Fuzzy Logic Controller, and PSO-Fuzzy based on the performance index that responding; basically the designed system is able to work well. The optimum result gained from PSO-Fuzzy by looking at its performance index for pitch angle are 15°, 30°, 45°with maximum overshoot (Mp) = 0%, 0%, 0%; settling time (ts) = 21.95 seconds, 21.95 Seconds, 23.86 seconds; Error Steady State (ESS) = 0.001%, 0.001%,0.0007%. and for the yaw angle 30°, 60°, 90°, and the maximum overshoot (Mp) = 0%, 0%, 0%; settling time (ts) = 38.18 seconds, 41.52 seconds, 43.47 seconds; Error Steady State (ESS) = 0.009%, 0.005%,0.003%.
KW - PSO-fuzzy
KW - Solar panel system
UR - http://www.scopus.com/inward/record.url?scp=85042231275&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85042231275
SN - 1819-6608
VL - 13
SP - 835
EP - 845
JO - ARPN Journal of Engineering and Applied Sciences
JF - ARPN Journal of Engineering and Applied Sciences
IS - 3
ER -