Partition Compensation Algorithm for Friction Based on Adaptive Fuzzy Neural Network

For nonlinear friction force in hydraulic position tracking system, partition compensation is employed to solve the problem of large approximation error caused by non-smooth characteristic of friction when the friction is compensated globally by fuzzy neural network (FNN). The experimental results show that the partition compensation algorithm is effective in compensating the nonlinearity, and the system has good steady-state tracking performance