Abstract
The hydraulic CPR (Common Pressure Rail) system has some advantages (i.e. modularization and energy saving), which can be integrated with the characteristics of networked control system (NCS) to enhance the control performance. However, the strong nonlinearity and parameter uncertainty issues of the CPR system based on HT (hydraulic transformer) must be addressed. Moreover, the time-varying time delay and packet loss induced by NCS should be solved at the same time. In the paper, an adaptive fuzzy sliding mode controller based on Pi-sigma fuzzy neural network combining with Pade approximation is proposed to solve these problems. By constructing an appropriate Lyapunov function, the stability of the controller is proved. Finally, the simulation is proceeded to show the proposed controller can guarantee the robustness and compensate the input delay and packet loss in presence of external disturbance and parameter uncertainty.
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