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 |