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| 1 | A Neuro-fuzzy-sliding Mode Controller Using Nonlinear Sliding Surface Applied to the Coupled Tanks System显示文摘The aim of this paper is to develop a neuro-fuzzy-sliding mode controller (NFSMC) with a nonlinear sliding surface for a coupled tank system. The main purpose is to eliminate the chattering phenomenon and to overcome the problem of the equivalent control computation. A first-order nonlinear sliding surface is presented, on which the developed sliding mode controller (SMC) is based. Mathematical proof for the stability and convergence of the system is presented. In order to reduce the chattering in SMC, a fixed boundary layer around the switch surface is used. Within the boundary layer, where the fuzzy logic control is applied, the chattering phenomenon, which is inherent in a sliding mode control, is avoided by smoothing the switch signal. Outside the boundary, the sliding mode control is applied to drive the system states into the boundary layer. Moreover, to compute the equivalent controller, a feed-forward neural network (NN) is used. The weights of the net are updated such that the corrective control term of the NFSMC goes to zero. Then, this NN also alleviates the chattering phenomenon because a big gain in the corrective control term produces a more serious chattering than a small gain. Experimental studies carried out on a coupled tank system indicate that the proposed approach is good for control applications. | Ahcene Boubakir Fares Boudjema Salim Labiod | 2009 | International Journal of Automation and computing2009，6，1： | 3 |
| 2 | Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems显示文摘 | Salim Labiod Thierry Marie Guerra | 2006 | Fuzzy Sets and Systems2006，，10： | 1 |
| 3 | Adaptive Fuzzy control of a class of SISO Nonaffine Nonlrnear hystems显示文摘 | Salim Labiod Thieny Maie Guerra | 2006 | Fuzzy sets and hystems2006，，180： | 1 |
| 4 | Adaptive fuzzy control of a class of MIMO nonlinear systems显示文摘 | Salim Labiod Mohamed Seghir Boucherit Thierry Marie Guerra | 2005 | Fuzzy Sets and Systems2005，151，1： | 1 |
| 5 | Adaptive fuzzy control of a class of MIMO nonlinear systems 显示文摘 | Labiod Salim Boucherit Mohamed Seghir Guerra Thierry Marie | 2005 | Fuzzy Sets and Systems2005，151，1： | 1 |
| 6 | Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems显示文摘 | Salim Labiod Thierry Marie Guerra | 2007 | Fuzzy Sets and Systems2007，158，10： | 1 |
| 7 | Adaptive fuzzy control of a class of SISO nonaffine nonlinear systems显示文摘 | Salim Labiod Thierry Marie Guerra | 2007 | Fuzzy Sets and Systems2007，158，10： | 1 |
| 8 | A robust model-free controller for a three-phase grid-connected photovoltaic system based on ultra-local model显示文摘In this paper, a robust model-free controller for a grid-connected photovoltaic (PV) system is designed. The system consists of a PV generator connected to a three-phase grid by a DC/AC converter. The control objectives of the overall system are to extract maximum power from the PV source, to control reactive power exchange and to improve the quality of the current injected into the grid. The model-free control technique is based on the use of an ultra-local model instead of the dynamic model of the overall system. The local model is continuously updated based on a numerical differentiator using only the input–output behavior of the controlled system. The model-free controller consists of a classical feedback controller and a compensator for the effects of internal parameter changes and external disturbances. Simulation results illustrate the efficiency of the controller for grid-connected PV systems. | Ahsene Boubakir Sid-Ahmed Touil Salim Labiod Nasserdine Boudjerda | 2021 | Protection and Control of Modern Power Systems2021，6，1： | 0 |
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