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This paper presents a new design of hybrid Petri net sliding mode control (PNSMC) applied to reach the maximum power point tracking (MPPT) of a variable speed wind energy conversion system. To solve the main and major undesired phenomenon faced by conventional sliding mode control, the high frequency oscillations known as chattering, the design of a hybrid controller based on Petri network sliding...
This paper presents the stabilization of three-dimensional fractional-order Lü chaotic systems, by means of an adaptive sliding mode based on Lyapunov stability theory. It focuses on an important issue in the research of fractional-order systems that is chaos stabilization. Based on the proposed adaptive sliding mode control method, the states of the fractional-order system have been stabilized; Numerical...
In this note, an adaptive fuzzy logic control (AFLC) strategy based on active sliding mode theory is considered to control a class of chaotic fractional-order systems. The main contribution in this work is the use of a saturation function to eliminate the chattering action in the control and surface signals. The nonlinear fractional order chaotic systems are identified using fuzzy logic sets. Based...
In this paper, we investigate the chaos synchronization of uncertain optical chaotic systems. More precisely, we also present a systematic approach for designing a fractional-order sliding mode controller to achieve a rapid, robust and perfect chaos synchronization. By this robust controller, it is rigorously proven that the associated synchronization error is Mittag-Leffler stable. In a numerical...
A robust sliding mode controller (SMC) for a grid-connected photovoltaic inverter is proposed in this paper. The objective of the control is to force both the output voltage of the PV source and the grid power factor at the inverter output to follow a certain trajectory reference. The robust sliding mode controller is applied directly to the nonlinear state model of the system composed by the PV source...
Recent advances in robotics have led to the development of exoskeleton robots that are becoming extensively used in the medical domain, to assist and help people suffering from physical impairments recover mobility. Most of existing controllers designed for position control of exoskeleton robots are linear which may not be suitable for exoskeleton robots having complex structures under heavy uncertainties...
Pneumatic artificial muscles are very powerful pneumatic actuators that work very similarly to the human muscle. They are broadly used in the development of robotic manipulators for industry or in the medical domain mainly for their low cost, intrinsic safety and high compliance. However, devices driven by these actuators are characterized by complex nonlinear dynamics and time varying properties...
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