{"title":"Stabilization of Neuro-Control Structure using Lyapunov Functional Based Approach","authors":"Amani Jouila, K. Nouri","doi":"10.1109/SCC47175.2019.9116173","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116173","url":null,"abstract":"In this paper, a neuro-control structure is proposed for the speed control of a nonlinear motor drive system. The neural network is trained to learn the inverse dynamics of the considered system from observation of the input-output data. After achieving the training process, a direct adaptive control approach with a model following controller is performed. The Lyapunov BackPropagation algorithm (LBP) is developed and used to adjust online the neural network so that the neural model output follows the desired one and maintains the stability of the neurocontrol scheme for a large variation of the motor speed drive system. The obtained simulation results verify the effectiveness of the developed Lyapunov BackPropagation algorithm to have a fast error convergence and highlight its performance to guarantee the stability of the designed approach","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132245741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sharaf Eddine Kramti, L. Saidi, Jaouhar Ben Ali, M. Sayadi, Eric Bechhoeferer
{"title":"Particle Filter Based Approach for Wind Turbine High-Speed Shaft Bearing Health Prognosis","authors":"Sharaf Eddine Kramti, L. Saidi, Jaouhar Ben Ali, M. Sayadi, Eric Bechhoeferer","doi":"10.1109/SCC47175.2019.9116164","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116164","url":null,"abstract":"Mechanical failures in wind turbine generators cause many problems of stopping electricity production, increase the price of maintenance or the destruction of the wind turbine. Gearbox is the important component in wind turbine it composed by bearing and gearings, generally failure appear in the bearing then in gearings.A probabilistic framework based on Bayesian methods applied to vibration bearing signals is a suitable tool to health state estimation. Vibration signals are nonlinear and non-Gaussian process, then the use of particle filter as derived from Bayesian approaches is a suitable method for this kind of signals.The proposed method is applied on a real high speed shaft bearing vibration signals, wish give a good results.","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131132274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SCC 2019 Conference Committee","authors":"","doi":"10.1109/scc47175.2019.9116168","DOIUrl":"https://doi.org/10.1109/scc47175.2019.9116168","url":null,"abstract":"","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121365489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Soumaya Marzougui, Asma Atitallah, S. Bedoui, K. Abderrahim
{"title":"Fractional-order Polynomial Wiener System Identification","authors":"Soumaya Marzougui, Asma Atitallah, S. Bedoui, K. Abderrahim","doi":"10.1109/SCC47175.2019.9116155","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116155","url":null,"abstract":"This paper deals with the problem of identification of fractional-order Wiener systems. This model consists of a linear fractional-order state space system in series with a static nonlinear block. This problem poses different difficulties, because, it consists of estimating the system parameters and the fractional order. In this work, a new identification algorithm is performed: firstly, the parameters of both the linear and the nonlinear subsystems are estimated based on the Least Squares algorithm and the states are updated based on the auxiliary model principle using the estimated parameters, then, the system order will be estimated using the Levenberg-Marquardt algorithm. Finally, a numerical simulation is offered in the extent to evaluate the effectiveness of the presented method.","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127151275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SCC 2019 Copyright Page","authors":"","doi":"10.1109/scc47175.2019.9116161","DOIUrl":"https://doi.org/10.1109/scc47175.2019.9116161","url":null,"abstract":"","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126918928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design, modeling and control of an owl-inspired robot in a standing posture","authors":"R. Boucetta","doi":"10.1109/SCC47175.2019.9116102","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116102","url":null,"abstract":"This paper deals with an original study based on anatomical observation of owl’s motions in a standing posture. Owls are specific birds typified by upright stance, sharp talons and adapted feathers for silent flight. Owls can rotate their heads and necks as much as a complete turn without any difficulty. A new kind of robot is proposed here inspired from owls in two phases: standing posture and flight. The first complicated case presents the goal of this work. To model different possible motions of owl’s head and neck, a large observation of the natural behavior can allow us to propose a close design to reality. A dynamic model is then generated to verify miscellaneous rotations and movements. Finally, a fuzzy control system is developed to reach desired values of head and neck’s angles. The paper is ended with a conclusion and future work suggestions.","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"196 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123226794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design of Robust Fractional Predictive Control using Global Optimization Approach","authors":"Aymen Rhouma, S. Hafsi","doi":"10.1109/SCC47175.2019.9116134","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116134","url":null,"abstract":"This paper provides a new approach to solve non-convex min-max predictive controller for fractional systems with real uncertain parameters. The Grünwald–Letnikov’s (GL) definition will be used as a fractional internal model to predict the plant future dynamic behavior. This definition consists in replacing the fractional order derivation operator of the adopted process representation by a discrete approximation. The controller parameters are obtained by resolving a min-max non-convex optimization problem. The resolution of this problem under constraints using a standard approach can give local solutions. Thus, we propose the use of the Genetic Algorithm (GA), which is a global optimization approach that consists to transforming the initial non-convex optimization problem to a convex one by means of variable transformations. The efficiency of the proposed robust fractional predictive controller is illustrated in simulation with an uncertain fractional system example.","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131485940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Noussaiba Griba, F. Hamidi, Kamel Menighed, B. Boussaid, M. Abdelkrim
{"title":"Synchronization of Chaotic Systems: a survey study","authors":"Noussaiba Griba, F. Hamidi, Kamel Menighed, B. Boussaid, M. Abdelkrim","doi":"10.1109/SCC47175.2019.9116133","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116133","url":null,"abstract":"This paper gives a survey study of the synchronization of nonlinear systems with chaotic behavior. The chaotic systems studied are Lorenz and Rössler systems. The principal configuration of the synchronization techniques belong to the \"Master-Slave\" configuration. The techniques widely used to achieve synchronization are \"linear active control\" and \"Nonlinear active control\". Numerical simulations are provided to show the effectiveness of these methods.","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130701108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Towards an Effective Robotic Device for Gait Rehabilitation of Children With Cerebral Palsy","authors":"Boutheina Maalej, A. Chemori, N. Derbel","doi":"10.1109/SCC47175.2019.9116141","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116141","url":null,"abstract":"The objective of this study is to focus on the feasibility of a robotic solution for rehabilitation of children with Cerebral Palsy (CP). For this purpose, to restore the walking abilities and in order to stimulate the brain functionality, two rehabilitation techniques have been compared (a conventional rehabilitation and a robotized one). Results indicate that the key of a performant exoskeleton with a good tracking of the gait cycle is to use robust controllers to guarantee the tracking even with kids’ parameter variations. A PD controller and a sliding mode controller are implemented and compared in order to prove the difference of their robustness. Through the proposed solution, it has been shown that sliding mode control is more robust than PD controller.","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130956816","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Nonlinear Modelling of Switched Reluctance Machine","authors":"Zeineb Touati, I. Mahmoud, A. Khedher","doi":"10.1109/SCC47175.2019.9116143","DOIUrl":"https://doi.org/10.1109/SCC47175.2019.9116143","url":null,"abstract":"This paper discusses the non-linear modelling and dynamic performance of the Switched Reluctance Machine including the effect of magnetic nonlinearities, such as the model of inductance variation vs current. This variation is analytically described using Fourier series and the nonlinear variation of its coefficients with current will be expressed by polynomial functions. Results of these analytical approaches are compared with those obtained using finite element analysis (FEA) where a good agreement is observed. The final step is reserved to predict the dynamic performances of the SRM.","PeriodicalId":133593,"journal":{"name":"2019 International Conference on Signal, Control and Communication (SCC)","volume":"164 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115393953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}