Research Article

RBF Neural Network Backstepping Sliding Mode Adaptive Control for Dynamic Pressure Cylinder Electrohydraulic Servo Pressure System

Figure 6

Dynamic pressure cylinder AMESim model RBF neural network backstepping sliding mode adaptive control interference response curve (10Hz sine).
(a) Output pressure and set pressure curve
(b) Output pressure and set pressure deviation contrast curve
(c) The ratio of output pressure deviation and set pressure
(d) NNBSAC controller output
(e) Uncertainty term f1 RBFNN approximation curve
(f) Uncertainty term f2 RBFNN approximation curve