关键词: 电动加载, 前馈补偿, RBF神经网络

Abstract:

Aiming at the disturbance of the extraneous force in the motor-driven load system, a new composite control strategy based on Radial Basis Function (RBF) networks is proposed. Compared with the controllers based on conventional BP networks, the presented algorithm is much more efficient without the problem of local minima. The motor driven load system is highly nonlinear and includes delays in the control loop. It is difficult for the traditional control method such as PID to improve the performance, especially under the disturbance of movement,the so called extraneous force problem. The proposed composite control scheme consists of NN PID and feedforward compensator. The experimental result shows that the scheme compensates the extraneous force effectively, and improves the dynamic performance of the load system.

Key words: motor-drive, feedforward compensation, RBF neural network