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Robust Adaptive control for Mobile Manipulators

International Journal of Automation and computing 2011年第1期8卷 8-13页

作者： Mohamed Boukattaya Tarak Damak Mohamed Jallouli Control of Industrial Process Unit National School of Engineers University of Sfax Intelligent Control Design and Optimization of Complex Systems Unit National School of Engineers University of Sfax

This paper addresses the trajectory tracking control of a nonholonomic wheeled mobile manipulator with parameter uncertainties and disturbances. The proposed algorithm adopts a robust adaptive control strategy where parametric uncertainties are compensated by adaptive update techniques and the disturbances are suppressed. A kinematic controller is first designed to make the robot follow a desired end-effector and platform trajectories in task space coordinates simultaneously. Then, an adaptive control scheme is proposed, which ensures that the trajectories are accurately tracked even in the presence of external disturbances and uncertainties. The system stability and the convergence of tracking errors to zero are rigorously proven using Lyapunov theory. Simulations results are given to illustrate the effectiveness of the proposed robust adaptive control law in comparison with a sliding mode controller.

关键词： Mobile manipulator trajectory tracking robust adaptive control sliding mode control uncertainties and disturbances.

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Face recognition under varying facial expression based on Perceived Facial Images and local feature matching

Face recognition under varying facial expression based on Pe...

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International Conference on Information Technology and e-Services (ICITeS)

作者： Hayet Boughrara Liming Chen Chokri Ben Amar Mohamed Chtourou Research unit on Intelligent Control design and Optimization of complex Systems (ICOS) Sfax Engineering School University of Sfax Tunisia Laboratoire d'InfoRmatique en Image et Systèmes d'information (LIRIS) CNRS Ecole Centrale Lyon (ECL) Université de Lyon France

Face recognition is becoming a difficult process because of the generally similar shapes of faces and because of the numerous variations between images of the same face. A face recognition system aims at recognizing a face in a manner that is as independent as possible of these image variations. Such variations make face recognition, on the basis of appearance, a difficult task. This paper attempts to overcome the variations of facial expression and proposes a biological vision-based facial description, namely Perceived Facial Images (PFIs), applied to facial images for 2D face recognition. Based on the intermediate facial description, SIFT-based feature matching is then carried out to calculate similarity measures between a given probe face and the gallery ones. Because the proposed biological vision-based facial description generates a PFI for each quantized gradient orientation of facial images, we further propose a weighted sum rule based fusion scheme. The proposed approach was tested on three facial expression databases: the Cohn and Kanade Facial Expression Database, the Japanese Female Facial Expression (JAFFE) Database and the FEEDTUM Database. The experimental results demonstrate the effectiveness of the proposed method.

关键词： Databases Face recognition Face Vectors Neurons Feature extraction Probes

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Crane control by flatness

Crane control by flatness

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Haifa Souilem Hassen Mekki Nabil Derbel Research unit on Intelligent Control design and Optimisation of complex Systems (ICOS) National School of Engineers of Sfax Sfax Tunisia National School of Engineers of Sousse National School of Engineers of Sfax Sfax Tunisia

This work is aimed at looking into the flatness control of the crane detailing adopted mechanisms and approaches in order to be able to control this system and to solve problems encountered during its functioning. The control objective is the sway free transportation of the crane s load taking the commands of the crane operator into account. Based on the mathematical model linearizing and stabilizing control laws for the slewing and luffing motion are derived using the input/output linearization approach. The method allows for transportation of the payload to a selected point and ensures minimisation of its swings when the motion is finished. To achieve this goal a mathematical model of the control system of the displacement of the payload has been constructed. A theory of control which ensures swing free stop of the payload is presented. Selected results of numerical simulations are shown. At the end of this work, a comparative study between the real moving and the desired one has been presented.

关键词： Cranes Trajectory Payloads Mathematical model Load modeling Pulleys

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Adaptive backstepping neural network approach to ship course control

Adaptive backstepping neural network approach to ship course...

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International Multi-Conference on systems, Signals and Devices

作者： Meziou, M. Taktak Ghommam, J. Derbel, N. National School of Engineering of Sfax Intelligent Control Design and Optimization of Complex Systems Unit Tunisia

ISBN: (纸本)9781457704130

This paper describes an Adaptive Backstepping Neural Network (ABNN) method used for a ship course tracking control. The ship model is described by a third order nonlinear model whose parameters are unknown. The control design uses estimate values of unknown parameters of the system. Then, adaptive laws of the estimation of these values have been proposed. The stability of the controlled system has been ensured by the use of a Lyapunov function. Simulation results show the effectiveness of the proposed approach and the designed controller can be applied to the ship course tracking with good performances. © 2011 IEEE.

关键词： Radial basis function networks

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A new CMOS current controlled oscillator with minimum phase noise based on a low parasitic resistance CCII

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WSEAS Transactions on Circuits and systems 2011年第9期10卷 289-298页

作者： Ben Salem, Samir Ben Saïed, Achwek Masmoudi, Dorra Sellami Loulou, Mourad Laboratoire de l'Electronique et des Technologies de l'Information Tunisia Research Unit on Intelligent Design and Control of Complex Systems National Engineering School Sfax Tunisia

In this paper we present a design of a minimum phase noise current controlled oscillator in CMOS technology. Owing to their high degree of controllability, the second generation current conveyer is used as a basic block for our oscillator. Thus, the first step in our design was to improve static and dynamic behaviour of second generation current conveyers. We present therefore a design of CMOS class AB second generation current conveyors. The translinear implementation in CMOS technology was first studied and then a considerable improvement of the parasitic series resistance on port X is done by presenting a structure of CCII. With a control current of 300 mu;A, a reduction of RX by a factor of 10 is observed leading to a notable improvement of the frequency behaviour. This improved CCII version was used as a basic building block in the design of a new current controlled oscillator covering [100MHz-600MHz] frequency is presented. Phase noise characteristics of the presented oscillator are investigated. We present then a new methodology of modelling and optimisation of phase noise of current controlled oscillators for CMOS process. This optimization strategy leads to a minimum phase noise acting on device geometries and design sources. PSpice simulation results are performed using CMOS 0.35 mu;m process of AMS.

关键词： Phase noise

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Adaptive Backstepping Neural Network approach to ship course control

Adaptive Backstepping Neural Network approach to ship course...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： M. Taktak Meziou J. Ghommam N. Derbel Intelligent Control Design and Optimization of Complex Systems Unit National Engineering School of Sfax Tunisia

关键词： Artificial neural networks Marine vehicles Backstepping Lyapunov methods Equations Convergence Adaptation model

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Classification of rotor fault in induction machine using Artificial Neural Networks

Classification of rotor fault in induction machine using Art...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Aida Drira Nabil Derbel Research unit on Intelligent Control design & Optimization of complex Systems (ICOS) Engineering School of Sfax (ENIS) Sfax Tunisia

In this paper, we have developed a feedforward neural networks to detect and to diagnosis rotor fault on induction motors using stator currents. In the first step, causes and effects of rotor fault have been studied, particularly, the number of broken bars has been considered. Then, in the second step, the number of broken rotor bars has been localized by Artificial Neural Networks (ANN), using the Fast Fourier Transform. Simulation results show that the Neural Network proposed approach presents a good tools for the diagnostic of induction machines.

关键词： Rotors Artificial neural networks Bars Stators Neurons Induction motors Circuit faults

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design Of Non-Diagonal controller Using MIMO-QFT Approach Combined With CRONE control:Application To Square System

Design Of Non-Diagonal Controller Using MIMO-QFT Approach Co...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Najah Yousfi Pierre Melchior Chokri Rekik Nabil Derbel Alain Oustaloup Research unit on Intelligent Control design & Optimization of complex Systems (ICOS)University of Sfax Sfax Engineering School BP W 3038 Sfax Tunisia. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB)Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB) Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France.

To govern perfectly the MIMO(Multi-Input Multi-Output) processes,a fully populated matrix controller has been proposed due to its *** non diagonal quantitative feedback theory approach is used with CRONE control struc... 详细信息

关键词： QFT design Of Non-Diagonal controller Using MIMO-QFT Approach Combined With CRONE control:Application To Square System controller

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Path Tracking design Based On Frequency-Band Limited Fractional Differentiator With Speed And Acceleration Input

Path Tracking Design Based On Frequency-Band Limited Fractio...

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第五届国际自动控制联合会分数阶导数及其应用会议

作者： Pierre Melchior Najah Yousfi Chokri Rekik Nabil Derbel Alain Oustaloup IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB)Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France. Research unit on Intelligent Control design & Optimization of complex Systems (ICOS)University of Sfax Sfax Engineering School BP W 3038 Sfax Tunisia. IMS (UMR 5218 CNRS Université Bordeaux 1 - ENSEIRB - ENSCPB) Département LAPS 351 cours de la Liberation B(a)t. A4 - F33405 TALENCE cedex France.

A new approach to path tracking based on fractional prefilter was developed in this *** previous works,this approach based on a Frequency Band Limited Fractional Differentiator(FBLFD)prefilter,with the position contro... 详细信息

关键词： Path Tracking design Based On Frequency-Band Limited Fractional Differentiator With Speed And Acceleration Input

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Leader-follower based formation control of nonholonomic robots using the virtual vehicle approach

Leader-follower based formation control of nonholonomic robo...

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IEEE International Conference on Mechatronics

作者： Ghommam, Jawhar Mehrjerdi, Hasan Saad, Maarouf Research Unit on Intelligent Control and Optimization of Complex Systems National School of Engineer of Sfax ENIS Tunisia Department of Electrical Engineering École de Technologie Suṕrieure 1100 rue Notre-Dame Ouest Montreal QC Canada

ISBN: (纸本)9781612849836

In this paper we investigate the leader follower motton coordination of multiple nonholonomic mobile robots. A combination of the virtual vehicle and trajectory tracking approach is used to derive the formation architecture. A virtual vehicle is steered in such away it stabilizes to a shifted reference position/heading deflned by the leader, the velocity of the virtual vehicle is then provided for further use in designing control law for the follower independent from the measurement of leader's velocity. Position tracking control is then constructed for the follower to track the virtual vehicle using the backstepping and Lyapunov direct design technique. Simulations are provided to show the effectiveness of the proposed approach. © 2011 IEEE.

关键词： Vehicles

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