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 |