Control of a Hydraulic Generator Regulating System Using Chebyshev-Neural-Network-Based Non-Singular Fast Terminal Sliding Mode Method

A hydraulic generator regulating system with electrical, mechanical, and constitution is a complex nonlinear system, which analyzed in this research. In the present study, dynamical behavior of investigated. Afterward, input/output feedback linearization theory exerted to derive controllable model system. Then, chaotic controlled using robust controller that uses Chebyshev neural network as disturbance observer combination non-singular terminal sliding mode control method. Moreover, convergence response desired output presence uncertainty unexpected disturbances demonstrated through Lyapunov stability theorem. Finally, effectiveness appropriate performance proposed scheme terms robustness against are numerical simulations.