Research Article

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

Figure 5

Performance curve of dynamic pressure cylinder AMESim model RBF neural network backstepping sliding mode adaptive control (10Hz sine).
(a) Output pressure and set pressure curve
(b) Output pressure and set pressure deviation contrast curve
(c) Controller output comparison curve
(d) Virtual control variable curve
(e) Uncertainty term RBFNN approximation curve
(f) Uncertainty term RBFNN approximation curve