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Bendjedia M.,CNRS Systems and Information Sciences Lab LSIS | Ait-Amirat Y.,University of Franche Comte | Walther B.,Haute Ecole Arc Engineering | Berthon A.,University of Franche Comte
IEEE Transactions on Power Electronics | Year: 2012

In this paper, the experimental results of position control of the hybrid stepper motor without a mechanical sensor are exhibited. Use of the steady-state extended Kalman filter to estimate the mechanical variables of the motor is shown. With this method the computing time is reduced. The initial rotor position is estimated by the impulse voltage technique. For position control, a simple state feedback control that can compensate the load torque variations was designed. The robustness against the motor parameters variation was also studied. A field-oriented control strategy is chosen. It is known that the mechanical position is crucially important to achieve this strategy. Finally, favorable experimental results are shared. © 2011 IEEE. Source

Sebesta K.D.,Boston University | Boizot N.,CNRS Systems and Information Sciences Lab LSIS
IEEE Transactions on Industrial Electronics | Year: 2014

The authors demonstrate the practical application of the adaptive high-gain extended Kalman filter (EKF) (AEKF) onboard a quadcopter unmanned aerial vehicle (UAV). The AEKF presents several advantages in state estimation, as it combines good filtering properties with an increased sensitivity to large perturbations. It does this by varying the high-gain parameter according to a metric called innovation. Unlike many adaptive observers, the AEKF is mathematically proven to globally converge, a significant advantage over the traditional EKF when considering robust controls. The AEKF is implemented on the UAV's inertial navigation system (INS). Full INSs can have problems when sensors are noisy and limited, particularly in the case of highly dynamically unstable systems such as a quadcopter. Simulation and experimental data show that the AEKF is suitable for this INS. © 1982-2012 IEEE. Source

Jouili M.,University of Sfax | Jarray K.,University of Monastir | Koubaa Y.,University of Sfax | Boussak M.,CNRS Systems and Information Sciences Lab LSIS
Electric Power Systems Research | Year: 2012

This paper presents an original method for the implementation of a sensorless indirect stator-flux-oriented control (ISFOC) of induction motor (IM) drives. Indeed, the proposed method for speed estimation is based on Luenberger observer (LO). The adaptive rotor speed is actually derived from Lyapunov stability theory by using measured and estimated stator currents and estimated stator flux. The proposed control scheme, as a result, achieves a good performance with computational complexity reduction obtained by using the analytical relation to determine the LO gain matrix. Again, the observer is simple and robust, when compared with the previously developed observers, and suitable for online implementation. For current regulation, however, this paper suggests a conventional Proportional-Integral (PI) controller with feed-forward compensation terms in the synchronous frame. Owing to its advantages, an Integral-Proportional (IP) controller is used for rotor speed regulation. The simulation and experimental results additionally show its validity and effectiveness. © 2012 Elsevier B.V. All rights reserved. Source

Micouin P.,CNRS Systems and Information Sciences Lab LSIS
Systems Engineering | Year: 2014

The purpose of this paper is to contribute to the definition of a Model Based Systems Engineering (MBSE) approach which would meet the objective laid out by INCOSE in its Systems Engineering Vision 2020. After briefly presenting the tools used and summarizing a state-of-the-art system design process, we show how it is possible to define property-based requirements (PBRs) as features of specification models and to apply the design process to this specification model in order to develop design models. Then, we show how it is possible to perform a simulation-based verification process of design models in order to detect and remove design errors, to substitute the initial requirements of the system with derived requirements gradually assigned to the subentities of the system, to perform a simulation-based validation process of specification models in order to detect and remove specification errors. Additionally, we show how we define safety PBRs to prevent the consequences of failure conditions and verify mitigation means, such as redundancy or dissimilarity, introduced in design models to meet these safety PBRs. Thus, we consider that our proposals improve MBSE current practices making them safer for the development of present and future systems. © 2013 Wiley Periodicals, Inc. Source

Mohapatra P.,IIT | Benyoucef L.,CNRS Systems and Information Sciences Lab LSIS | Tiwari M.K.,IIT
International Journal of Production Research | Year: 2013

Setup planning is one of the crucial exercises that affects process planning, scheduling and their integration. In a reconfigurable environment where more than one machine is available to process a part, setup planning assumes an important position which involves a complex optimisation problem facing several constraints. In this research machining features are sequenced and grouped into certain setup based on tool approach direction (TAD). Therefore considering the criteria such as machine utilisation, cost and makespan, near optimal solutions are selected to satisfy the requirements of the scheduling system. We have also addressed in this paper adaptive characteristics of process plan associated with setup, i.e. a cross machine setup planning to capture the different configuration of machines. Exploiting the stress of the immune system, a well known intelligent search technique known as artificial immune system (AIS) has been applied to solve two problems associated with the research issue discussed here. The proposed AIS based approach is demonstrated to resolve an example problem. It is found that the proposed approach is successfully applicable to machines having several configurations and accommodative to different setup requirements from a scheduling system where the frequent changes in machines are witnessed. By the way of combining the setup for alternative machines with process planning, we can demonstrate clearly a true relation of integration of functionalities of process planning and scheduling. © 2013 Taylor & Francis Group, LLC. Source

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