Adaptive Non-singular Fast Terminal Sliding Mode Control and Synchronization of a Chaotic System via Interval Type-۲ Fuzzy Inference System with Proportionate Controller

This paper introduces a novel adaptive nonsingular fast terminal sliding mode approach that benefits from an interval type-۲ fuzzy logic estimator and a gain for control and synchronization of chaotic systems in the presence of uncertainty. The nonsingular fast terminal sliding mode controller is developed to increase the convergence rate and remove the singularity problem of the system. Using the proposed method, the finite-time convergence has been ensured. To eliminate the chattering phenomenon in the conventional sliding mode controller, the discontinuous sign function is estimated using an interval type-۲ fuzzy inference system (FIS) based on the center of sets type reduction followed by defuzzification. By adding the proportionate gain to the interval type-۲ FIS, the robustness and speed of the controller system is enhanced. An appropriate Lyapunov function is utilized to ensure the closed-loop stability of the control system. The performance of the controller is evaluated for a nonlinear time-varying second-order magnetic space-craft chaotic system with different initial conditions in the presence of uncertainty. The simulation results show the efficacy of the proposed approach for the tracking control problems. The time and frequency domain analysis of the control signal demonstrates that the chattering phenomenon is successfully diminished.

Keywords:

Chaos , Non-singular terminal sliding mode control , Adaptive control , interval type-۲ fuzzy inference system