Research Progress of Loading Control Strategy of IRSS Test Platform Based on Neural Network

The loading system is an important part of the performance test of the industrial robot servo system (IRSS). The excess torque interference of the IRSS loading system and its own non-linear factors seriously affect the loading accuracy, thereby affecting the accuracy of performance test results. Neural network control has become an important development trend of control strategy for electric loading systems because it does not require an accurate system model and superior nonlinear processing capabilities. Based on this, this paper reviews the control strategy of the electric loading platform based on neural network, so as to provide a reference for improving the loading accuracy of the IRSS loading system.