Adaptive Non-singular Fast Terminal Sliding Mode Control and Synchronization of a Chaotic System via Interval Type-۲ Fuzzy Inference System with Proportionate Controller
Publish place: Iranian Journal of Fuzzy Systems، Vol: 20، Issue: 6
Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
View: 95
This Paper With 15 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_IJFS-20-6_010
تاریخ نمایه سازی: 18 آذر 1402
Abstract:
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
Authors
Mohammad Ali Labbaf Khaniki
Faculty of Electrical Engineering, K.N. Toosi University of Technology, Tehran, Iran.
Mohammad Manthouri
Electrical and Electronic Engineering Department, Shahed university, Persian Gulf Highway
Mojtaba Ahmadieh Khanesar
Department of Material, Mechanical and Manufacturing, University of Nottingham, UK
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :