Intelligent Simulation and Optimizing Control to Sprinkling Irrigation System

the contradiction between mutable operating condition and fixed design condition of sprinkling irrigation system is analyzed and intelligent simulation and optimizing control theory and method basing on computational intelligence is put forward. Basing on the water distribution obtained from sprinkling irrigation experiment of single nozzle under different work pressure and through computing motion equation of drip, water distribution under different work pressure and different wind speed is computed. Nonlinear relationship between work pressure, wind speed and water distribution is simulated by genetic BP neural network and computation method of uniformity degree of sprinkling irrigation under different nozzle's combination is put forward, and further more, genetic algorithm is introduced to optimize combination manner and space of nozzles. A simulation and optimizing control example is given at the end of the paper.