Title :
Implementation real value genetic algorithm to determine three PID parameter
Author :
A. A. M. Yusuf;N. J. Agung;S. Unang
Author_Institution :
School Of Electrical Engineering, Telkom University, Bandung, Indonesia
Abstract :
This work about genetic algorithm is used for determining optimum combination for PID parameter. While genetic algorithm use evolutionary theorem like crossover and mutation, this work proposed modified fitness function by using Integral Time Weighted Absolute Error (ITAE) criterion and multiplying with a as ITAE gain and summarize with Mean Squared Error (MSE) and multiplying with p as MSE gain and last its summarize with maximum overshoot error and multiplying with y for overshoot gain. The result of this work have given the best combination of Kp, Ki, and Kd as PID parameter gain with the best performance for the plant system used in error sampling.
Keywords :
"Genetic algorithms","Sociology","Statistics","Biological cells","Tuning","Renewable energy sources","System analysis and design"
Conference_Titel :
Control, Electronics, Renewable Energy and Communications (ICCEREC), 2015 International Conference on
DOI :
10.1109/ICCEREC.2015.7337044