Application of adaptive neuron controller in AC servo system;

Research on neuron controller for brushless DC motor bsaed on analog circuit;

According to neuron characteristic, an analog neuron controller mathematic expression and its weight modulating expression are obtained.

The parameters of self-adaptive neuron PID controller are optimized based on certain cost function with optimum principal of simplex method by using MATLAB soft.

S-function of neuron PID controller based on MATLAB language is presented.

Then the single-neuron controller,which is adjusted using the Lyapunov method,is considered so that the setpoint can be rapidly tracked by the output of the system.

Then,by employing a single-neuron controller and by considering the error between the ARX model output and the system output,as well as the gradient information of the composite model,the controller parameters are adjusted online with high control performance.

PLC-based fuzzy neuron control system of tube mill-pulverized coal preparation system in thermal power plant;

Fuzzy logics is being incorporated into a neuron controlling devIce to serve as a basis weight controller in the paper machines.

In order to improve the performance of the controller,a variable structural PID controller is combined with the neuron controller.

To solve this problem,using the learning ability of the single neuron,adaptive controller is presented,and the simulation results show the proposed vector control system based on parameter amended with adaptive single neuron controller has better dynamic performance.