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International Conference on sciences and techniques of automatic control and computer engineering (STA)

作者： Oussama Zeghba Salim Chakroun Ali Aillane Research Laboratory on the Electrical Engineering University of M'Sila Algeria Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA) National School of Engineering of Sfax (ENIS) University of Sfax Sfax Tunisia

ISBN: (纸本)9781665482622

In this research, a method for improving the efficiency of induction motors based on the modified gray wolf optimizer (mGWO) is proposed and examined. In order to reduce the overall copper and iron losses of the machine, the efficiency improvement technique entails modifying the geometric dimensions with regard to the lower and upper bound of those parameters. A comparison between the findings achieved utilizing the mGWO and GAs approach is done, and some simulation performances are shown along with a comparison of efficiency, electric current, and torque. The approach mGWO provided good results and required less time to extract results once the simulation results were obtained using the aforementioned methods.

关键词： Energy consumption Induction motors Upper bound Torque Simulation Iron Data models

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Fuzzy Network-based control for nonlinear systems with limited communication

Fuzzy Network-based control for nonlinear systems with limit...

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International Conference on Systems, Analysis and automatic control

作者： Mourad Kchaou Ahmed Toumi Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA) High Institute op Applied Sciences and Technology Sousse ISSATso University of Sfax National School of Engineers of Sfax

ISBN: (纸本)9781467364591

This paper is concerned with the problem of stabilization of continuous-time Takagi-Sugeno (TS) fuzzy systems which are controlled through networks. Network-induced delays, data packet dropouts, and measurement quantization are simultaneously considered for Network signal-transmission. Based on the LyapunovKrasovskii functional approach and a parallel distributed compensation scheme, a delay-dependent stabilization approach is developed for the NCSs, which guarantees that the closed-loop system is asymptotically stable. Finally, an illustrative example is given to illustrate the effectiveness of the proposed design technique.

关键词： Nonlinear systems design techniques Closed loop systems data packets Fuzzy Communication Research dropouts Student Dropouts Standing Orders Fuzzy systems

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Design verification based on Hardware-In-the-Loop simulation for photovoltaic system

Design verification based on Hardware-In-the-Loop simulation...

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

作者： Hanen Abbes Mossaad Ben Ayed Hafedh Abid Mohamed Abid Department of Electrical Engineering University of Sfax Sfax Tunisia Department of Electrical Engineering Laboratory of Sciences and techniques of Automatic control & computer engineering (Lab-STA) Universite de Sfax Sfax TN

Due to the increasing complexity of photovoltaic systems and problems linked to development and design, verification of the entire system operation is essential before real implementation. Besides, high requirements of a real-time simulation and control circuit prototyping before application increases safeness, and can reduce time and costs of implementation. For this end, the purpose of this work is to achieve photovoltaic system development and its design verification through system simulation using FPGA device. The verification method used in this study is the “Hardware-In-the-Loop” (HIL) simulation method. It provides an effective platform for developing and testing real time embedded systems. In this paper, we design the power circuit and we develop the open-circuit voltage controller which tracks the maximum power point. Then, the HIL simulation process is performed for the photovoltaic system. The efficiency of the photovoltaic system is validated by the simulation results.

关键词： Photovoltaic systems Mathematical model Field programmable gate arrays Integrated circuit modeling Digital signal processing Computational modeling

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A Luenberger state observer for simultaneous estimation of speed and stator resistance in sensorless IRFOC induction motor drives

A Luenberger state observer for simultaneous estimation of s...

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International Conference on sciences and techniques of automatic control and computer engineering (STA)

作者： M. Jouili Y. Agrebi Y. Koubaa M. Boussak Laboratory of Sciences and Techniques of Automatic control & computer engineering (Lab-STA) University of Sfax Sfax Tunisia UMR CNRS 7296 Ecole Centrale Marseille (ECM) France

ISBN: (纸本)9781467392358

This paper characterizes the problem of implementing a simultaneous estimation of the stator resistance and the rotor speed of a sensorless indirect rotor flux oriented control (IRFOC) induction motor (IM) drive. For this purpose, the Luenberger state observer (LSO) is taken as a rudimentary method to simultaneously estimate the rotor speed and the stator resistance. Likewise, we suggest an adaptation algorithm related to the Lyapunov stability hypothesis to estimate the stator resistance and the rotor speed. The latter utilizes the estimated and measured stator currents and the estimated rotor flux. Along these lines, the control method that we suggest is liable to achieve a good performance after reducing the computational complexity through the use of the analytical relation in order to determine the Luenberger observer (LO) gain matrix. Additionally, compared to the previous observers, our observer is characterized by its simplicity, robustness as well as its ability to be implemented online. This article implies also the use of a typical PI regulator with feed-forward reparation expressions in the synchronous frame. But to regulate the rotor speed, we use the IP controller because of its effectiveness. Actually, its validity and efficiency are verified by the simulation results.

关键词： Rotors Observers Resistance Stator windings Zirconium

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Robust flux and load torque estimation in Induction Machine

Robust flux and load torque estimation in Induction Machine

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European control Conference (ECC)

作者： M. Bahloul L. Chrifi-Alaoui M. Souissi S. Drid M. Chaabane Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering (Lab-STA) University of Sfax Postal Tunisia Laboratory of Innovative Technology (LTI) University of Pi-cardie Cuffies France University of Batna Algeria

We propose in this paper an adaptive robust fuzzy observer to estimate flux and to identify the load torque for Induction Machine's (IM) applications. Indeed, using a fuzzy IM model, we develop the structure of an observer where we consider the load torque as an unknown input. Sufficient conditions are presented to ensure the asymptotic convergence of the flux and the load torque errors estimation. In addition, a robustness criteria is considered, using the L 2 technique, to take into consideration parameters uncertainties. Design conditions are founded on LMIs terms (Linear Matrix Inequalities) and an experimentation (using DSP 1104 real time controller) is carried out to show the effectiveness of the proposed results.

关键词： Torque Observers Rotors Stators Robustness Resistance Uncertain systems

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Robust Polynomial Observers For Positive Polynomial Fuzzy Systems

Robust Polynomial Observers For Positive Polynomial Fuzzy Sy...

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

作者： Imen Iben Ammar Hamdi Gassara Ahmed El Hajjaji Mohamed Chaabane Laboratory of Sciences and Techniques of Automatic control & computer engineering National School of Engineers Sfax University of Sfax Sfax Tunisia Modeling Information and Systems Laboratory University of Picardie Jules Verne Amiens France

A novel approach is proposed to design a robust observer for a class of positive polynomial fuzzy models. To study the considered analysis and design problems, a line-integral polynomial fuzzy Lyapunov function with polynomial terms depending of the estimated states is proposed. The proposed design conditions of the positive polynomial fuzzy controllers guaranteeing both the stability and the non negativeness of the estimated states, are solved using Sum of Squares(SOS) approach. Finally, simulations examples are given to show the effectiveness of the proposed approach.

关键词： Observers Stability analysis Lyapunov methods Fuzzy systems

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Steps Toward Industry 5.0:Building“6S”Parallel Industries With Cyber-Physical-Social Intelligence

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IEEE/CAA Journal of automatica Sinica 2023年第8期10卷 1692-1703页

作者： Xingxia Wang Jing Yang Yutong Wang Qinghai Miao Fei-Yue Wang Aijun Zhao Jian-Ling Deng Lingxi Li Xiaoxiang Na Ljubo Vlacic School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE Macao University of Science and Technology Macao 999078China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of SciencesBeijing 100098 State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190China North Automatic Control Technology Institute Taiyuan 030006China China Huaneng Group Co. Ltd.Beijing 100031China Department of Electrical and Computer Engineering Indiana University-Purdue University Indianapolis(IUPUI)IndianapolisIN 46202 USA Department of Engineering University of CambridgeCambridgeCB21PZUK School of Engineering and Built Environment Griffith UniversityGold CoastQLD 4222Australia

Very recently,intensive discussions and studies on Industry 5.0 have sprung up and caused the attention of researchers,entrepreneurs,and policymakers from various sectors around the ***,there is no consensus on why and what is Industry 5.0 *** this paper,we define Industry 5.0from its philosophical and historical origin and evolution,emphasize its new thinking on virtual-real duality and human-machine interaction,and introduce its new theory and technology based on parallel intelligence(PI),artificial societies,computational experiments,and parallel execution(the ACP method),and cyber-physical-social systems(CPSS).Case studies and applications of Industry 5.0 over the last decade have been briefly summarized and analyzed with suggestions for its future *** believe that Industry 5.0 of virtual-real interactive parallel industries has great potentials and is critical for building smart *** are outlined to ensure a roadmap that would lead to a smooth transition from CPS-based Industry 4.0 to CPSS-based Industry 5.0 for a better world which is Safe in physical spaces,S ecure in cyberspaces,Sustainable in ecology,Sensitive in individual privacy and rights,Service for all,and Smartness of all.

关键词： ACP artificial intelligence CPS CPSS Industry 4.0 Industry 5.0 parallel industries parallel intelligence

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Sensor fault and state estimation for continuous-time descriptor linear systems: An LMI approach

Sensor fault and state estimation for continuous-time descri...

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International Conference on Systems and control (ICSC)

作者： Imen Haj Brahim Mohamed Chaabane Ghani Hashim Driss Mehdi Laboratory of Sciences and Techniques of Automatic control and computer engineering (Lab-STA) University of Sfax Sfax Tunisia Computer Science Department Cihan University Erbil Iraq LIAS-ENSIP University of Poitiers Poitiers France

ISBN: (纸本)9781467389549

In this paper, the problem of sensor fault diagnosis of continuous-time descriptor linear systems is investigated by using a descriptor observer. An augmented descriptor observer is constructed to simultaneously estimate state and sensor faults. The sensor fault is considered as an auxiliary state variable. The admissibility of the descriptor observer is investigated in term of Linear Matrix Inequalities (LMIs), so they are tractable using numerical computations. Finally, a numerical example and an application to a suspension model illustrate the ability of the proposed fault diagnosis approach.

关键词： Observers Fault diagnosis Linear matrix inequalities Robot sensing systems Linear systems Biological system modeling

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Hybrid optimal control for aircraft trajectory design with a variable sequence of modes

Hybrid optimal control for aircraft trajectory design with a...

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作者： Kamgarpour, Maryam Soler, Manuel Tomlin, Claire J. Olivares, Alberto Lygeros, John Department of Mechanical Engineering University of California Berkeley United States Department of Statistics and Operations Research URJC 28933 Madrid Spain Department of Electrical Engineering and Computer Sciences University of California Berkeley United States Automatic Control Laboratory ETH Zurich CH-8092 Switzerland

ISBN: (纸本)9783902661937

The problem of aircraft trajectory planning is formulated as a hybrid optimal control problem. The aircraft is modeled as a switched system, that is, a class of hybrid dynamical systems. The sequence of modes, the switching times, and the inputs for each mode are the control variables. An iterative bi-level optimization algorithm is employed to solve the optimal control problem. At the lower level, given a pre-defined sequence of flight modes, the optimal switching times and the input for each mode are determined. This is achieved by extending the continuous state to include the switching times and then solving a conventional optimal control problem for the extended state. At the higher level, the algorithm modifies the mode sequence in order to decrease the value of the cost function. We illustrate the utility of the problem formulation and the solution approach with two case studies in which short horizon aircraft trajectories are optimized in order to reduce fuel burn while avoiding hazardous weather. © 2011 IFAC.

关键词： Hybrid systems

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Small Signal Stability Analysis of Multi-Machine Power System Using Genetic Algorithm Technique

Small Signal Stability Analysis of Multi-Machine Power Syste...

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International Conference on Systems and control (ICSC)

作者： Moncef Triki Bilel Dhouib Soufien Hajji Hsan Hadj Abdallah Electrical Engineering Department Sfax Engineering School Control & Energy Management Laboratory Sfax Engineering School Sfax Tunisia Electrical Engineering Department Sfax Laboratory of Sciences and Techniques of Automatic & computer engineering (Lab-STA) Sfax Engineering School Sfax Tunisia

This paper introduces an innovative approach for determining the dynamic stability margin of a power system. The method employs a Genetic Algorithm (GA) to optimize the parameters of a Conventional Power System Stabilizer (CPSS) linked with the automatic Voltage Regulator (AVR) in a multi-machine power system. The objective is to tune the stabilizers in a way that effectively shifts the lightly damped and undamped electromechanical modes of all plants to a specified region in the s-plane. To achieve this, a multiobjective problem is formulated, optimizing a composite set of objective functions that include the damping factor of the lightly damped electromechanical modes. The dynamic behavior of the system is assessed using small signal stability analysis, while the stability of the system is evaluated by monitoring the variations of eigenvalues under line-to-ground (LG) fault conditions. The proposed method is then demonstrated on a 3-machine 9-bus system, and the effectiveness and robustness of the suggested Power System Stabilizers (PSSs) are showcased by incorporating them into a conventional AVR-PSS model. This allows the proposed approach to efficiently damp low-frequency oscillations in the power system.

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