INTELLIGENT CONTROL FOR PLANT PRODUCTION SYSTEM

摘要

For optimization of plant growth in hydroponics, a hierarchical intelligent control system consisting of an expert system and a hybrid system based on genetic algorithms and neural networks is proposed. Plant growth is controlled by nutrient concentration of the solution. An expert system is used for normal control through the whole growth stage. On the other hand, a hybrid system is used for optimization control during an important growth stage. For optimization, the ratio of total leaf length to stem diameter (TLL/SD), as affected by nutrient concentration, was first identified using neural networks and then the optimal 4-step setpoints of nutrient concentration which maximize the TLL/SD was determined through simulation of the identified model using genetic algorithms. The results show that this control technique is suitable for optimization of such complex systems as plant growth systems.