Notice of RetractionPID Controller Based on BP Neural Network in the Application of Wind Power Generation and Matlab Simulation

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

This paper describes the principles of BP algorithm and the improved BP neural network be used in the traditional PID control, neural network and PID control law integration, with both self-learning neural networks, adaptive and capacity to approximate any function, Conventional PID control structure also has a simple, high reliability characteristics. Avoid the network into a local minimum; it can speed up the network training speed. So the control can have non-linear, time variability and uncertainty of the complex system of controls. Overcome the PID control parameters of the adjustment process in the system model for over-reliance on the shortcomings. Using MATLAB simulation results show that the BP neural network based self-tuning PID control to control the parameters of the traditional approach to achieve good control effect optimal.