Temperature control of electric heating dryers based on an analog orthogonal neural network

The purpose of this investigation is to establish a controller of analog orthogonal neural network for the temperature control over electric heating dryers. First, a learning algorithm of the analog neural network was given on the basis of the digital orthogonal neural network. Then a parallel control method with the analog neural network and integrator was presented and was applied in the temperature control over electric heating dryers. The simulation results applied in the temperature control verify that this controller has higher speed learning performance and smaller overshoot than a PID controller. The temperature control obtains satisfactory control effectiveness. The analog neural controller is suitable for the control over uncertain objects and provides a novel approach for a type of uncertain control system.