期刊
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 66, 期 8, 页码 3885-3891出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2020.3034872
关键词
Perturbation methods; Convergence; Actuators; Stability analysis; Closed loop systems; Sliding mode control; Saturation; sliding mode control; uncertain systems
资金
- Christian Doppler Research Association, Austria
- Austrian Federal Ministry of Science, Research, and Economy
- National Foundation for Research, Technology, and Development, Austria
- CONACyT (Consejo Nacional de Ciencia y Tecnologia) [CVU 631139, 282013]
- PAPIIT-UNAM (Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica) [IN 115419, IN110719]
This article proposes a Lipschitz continuous sliding mode controller (LCSMC) to stabilize an integrator chain with a saturated control input, Lipschitz continuous perturbations, and an unknown control coefficient. The controller uses a control signal that is Lipschitz continuous and bounded by a given actuator limit to ensure global finite-time convergence to the sliding surface. Stability conditions for the controller's tuning parameters are derived and the effectiveness of the approach is demonstrated through numerical simulation.
In this article, a Lipschitz continuous sliding mode controller (LCSMC) is proposed to stabilize an integrator chain with a saturated control input, Lipschitz continuous perturbations, and an unknown control coefficient. The proposed controller ensures global finite-time convergence to the sliding surface by means of a control signal that is Lipschitz continuous (i.e., has finite gain) and is bounded by a given actuator limit. Stability conditions for the controller's tuning parameters are derived and the effectiveness of the approach is demonstrated in the course of a numerical simulation.
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