Adaptive nonlinear robust lead compensator design for a class of uncertain nonlinear systems

In this paper, a new adaptive nonlinear robust lead compensation is proposed for controlling a class of uncertain nonlinear systems that are afflicted with a high level of nonlinearity, uncertainty, and sensitivity to outside disturbances. The procedure for control consists of a section synthesized...

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Bibliographic Details
Published in:International journal of dynamics and control 2024-10, Vol.12 (10), p.3659-3668
Main Authors: Mhmood, Ali H., Rakan, Amer B.
Format: Article
Language:English
Subjects:
Adaptive control
Adaptive systems
Compensators
Complexity
Control
Control and Systems Theory
Control stability
Disturbances
Dynamical Systems
Engineering
Feedback linearization
Nonlinear control
Nonlinear response
Nonlinear systems
Nonlinearity
Robust control
Stability criteria
Vibration
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Summary:In this paper, a new adaptive nonlinear robust lead compensation is proposed for controlling a class of uncertain nonlinear systems that are afflicted with a high level of nonlinearity, uncertainty, and sensitivity to outside disturbances. The procedure for control consists of a section synthesized based on adaptive feedback linearization to ensure that the influences of unknown variables, nonlinearities, and disturbances are canceled through adaptation. Then, to control the linear nominal system, an effective lead compensator is developed. As a result, the primary aim is to reach desirable stability and performance for uncertain nonlinear systems regardless of perturbation consequences, where the lead compensator is in charge of recognizing the transient criteria of the system response, and adaptive nonlinear control is used to reduce the ultimate bound around the stability point during the steady state. The results of the simulation reveal the ability of the proposed control to attain the desired goal by successfully satisfying the control objectives of stability, performance, and tracking qualities with proper robustness, persuasive control, and uncomplicated computational labor.
ISSN:2195-268X
2195-2698
DOI:10.1007/s40435-024-01456-x