Abstract: A new control structure for load simulator to improve its performance is presented, in which the DRNN neural network is adopted to combine with PID controller. The DRNN is of ability to deal with dynamic problem, which is used to identify the broad sense inverse model. It includes system input, output and disturbance. The nonlinear problem will be solved properly. The neural network PID controller is designed by requirement for steady, which overcome the shortcoming of the only neural network controller. The speed is taken as reference input of the DRNN neural network, which improves the system’s robustness to the influence of extraneous force. The simulation and experiment are carried out, which show a good result. This method is of validity and robustness.

Key words: Electric-hydraulic load simulator, Extraneous force, Neural network controller Intelligent PID