Title :
Optimized neural net control using genetic algorithm for intermittent system
Author :
Pingkang, Li ; Xiuxia, Du ; Xuejun, Gan
Author_Institution :
Sch. of Mech., Electronical & Control Eng., Northern Jiaotong Univ., Beijing, China
Abstract :
A PID-like Neural Net control algorithm is developed, and Genetic Algorithm is integrated into for optimizing the learning rates. The dynamic properties for an intermittent Heating Ventilation Air Conditioning (HVAC) system are analyzed, and MATLAB/Simulink model for Neural Net control algorithm is introduced. The simulation for large delay systems and the industrial intermittent HVAC system application is reported.
Keywords :
HVAC; genetic algorithms; neurocontrollers; HVAC; Heating Ventilation Air Conditioning system; genetic algorithm; intermittent HVAC; learning rates; neural net control; Air conditioning; Algorithm design and analysis; Control systems; Genetic algorithms; Heating; MATLAB; Mathematical model; Neural networks; Temperature control; Ventilation;
Conference_Titel :
TENCON '02. Proceedings. 2002 IEEE Region 10 Conference on Computers, Communications, Control and Power Engineering
Print_ISBN :
0-7803-7490-8
DOI :
10.1109/TENCON.2002.1182621
