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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 Neural network
controller Intelligent PID Extraneous force
CLC No: TH137
国家自然科学基金资助项目(50075006). Received 20020313, received in revised form
20020628 |