Light Intensity Control Algorithm Based on Optimized PIDNN
Abstract
According to the different requirements of light intensity in different regions, a light intensity control algorithm based on PID neural network is proposed. And improved PSO algorithm is used to optimize connection weights of PIDNN. Through the application of this algorithm to a case, simulation result shows that this algorithm can effectively meet light intensity requirements in different regions. And it also could improve overall control performance of system, shorten adjusting time and has better dynamic performance.
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