Application Research of Neural Network Hybrid Modeling Method for Torque Measurement on Centrifuge Suspended Basket Trunnion

Because of the special structure, it's not feasible to instrument pressure transducer, or torque sensor. The method of using strain gauge to measure the trunnion torque of centrifuge suspended basket is proposed. Therefore, torque measurement system is imperative to be founded. The mapping function of input and output is not absolute linear in practice. A neural network (NN) hybrid modeling approach is proposed and applied to torque measurement system calibration. The simulated studies on the calibration of single output system are conducted respectively by use of the developed hybrid modeling scheme. The NN hybrid modeling approach is utilized to calibrate torque measurement system prototype based on the measured data obtained from calibration tests. The simulated and experimental results show that the NN hybrid modeling approach can improve significantly calibration precision in comparison with traditional calibration methods. In addition, the NN hybrid modeling is superior to NN black box modeling because the former possesses smaller network scale, higher convergence speed, higher calibration precision and better generalization performance.