Finite-Time Disturbance Observer with Adaptive Fuzzy Logic-Based Tracking Control for Nonlinear Systems under Model Uncertainties and External Disturbances

Authors

  • Vinay Kumar, P. Ram Kishore Kumar Reddy, P. Nagasekhar Reddy

Keywords:

uncertainty and perturbation observation; tracking control; finite-time resolution.

Abstract

To address the issue of motion tracking in nonlinear systems that are vulnerable to model uncertainties and external disturbances, this study proposes a finite-time disturbance observer (FTDOB) that is based on an adaptive fuzzy logic-based tracking control framework. The suggested FTDOB may precisely estimate disturbances within limited time, in contrast to conventional approaches that attain asymptotic convergence under restricted constraints on vanishing derivatives. This is accomplished by accurately estimating a generalized disturbance term utilizing the innovative FTDOB, which includes unknown dynamics, external disturbances, parametric and unstructured uncertainties, and so on. Afterwards, a backstepping controller based on adaptive fuzzy logic is created to guarantee accurate and reliable tracking performance in many types of environments. Through a thorough analysis and confirmation utilizing Lyapunov stability theory, the stability of the proposed FTDOB and the complete closed-loop system is verified. By comparing numerical simulations on a second-order mechanical system and experimental results on a real DC motor system, we can confirm that the suggested FTDOB and its corresponding control method are effective and superior.

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References

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Published

30.08.2023

How to Cite

Vinay Kumar. (2023). Finite-Time Disturbance Observer with Adaptive Fuzzy Logic-Based Tracking Control for Nonlinear Systems under Model Uncertainties and External Disturbances. International Journal of Intelligent Systems and Applications in Engineering, 11(11s), 585 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7224

Issue

Vol. 11 No. 11s (2023)

Section

Research Article

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