Conception architecturale d’un système mécatronique d’assistance à opérateur par Bond-Graph

Les systèmes mécatroniques requièrent une forte intégration physique et fonctionnelle. Pour répondre au premier besoin, l’usage d’un outil de modélisation multi-physique tel que le Bond-Graph est nécessaire. Son extension à la modélisation fonctionnelle est possible si la description informationnelle des échanges fonctionnels peut être mise sous forme d’action-réaction. Les travaux exposés proposent une méthodologie de conception du niveau architectural d’un système mécatronique d’assistance à l’opérateur, basée sur une modélisation multi-physique et multi-domaine (physique et informationnel) de son cahier des charges.International audienceLes systèmes mécatroniques requièrent une forte intégration physique et fonctionnelle. Pour répondre au premier besoin, l’usage d’un outil de modélisation multi-physique tel que le Bond-Graph est nécessaire. Son extension à la modélisation fonctionnelle est possible si la description informationnelle des échanges fonctionnels peut être mise sous forme d’action-réaction. Les travaux exposés proposent une méthodologie de conception du niveau architectural d’un système mécatronique d’assistance à l’opérateur, basée sur une modélisation multi-physique et multi-domaine (physique et informationnel) de son cahier des charges

A port-Hamiltonian framework for operator force assisting systems: Application to the design of helicopter flight controls

An energetic representation of helicopter flight controls, viewed as an Operator Assisting System, is proposed within the Port-Hamiltonian framework. The assisting controller modifies the dynamical behavior between the pilot stick and the swashplate, linked through a Continuous Variable Transmission, by enforcing force scaling and providing appropriate force feedback to the operator. Generic sufficient conditions are given on the assistance location and structure which allow the assisted system to be dissipative, hence providing nice stability and power scaling properties. Results are applied to the design of an assistance for a simplified flight control system. Simulations show the relevance of the method and are compared to real-life results

Conception architecturale d’un système mécatronique d’assistance à opérateur par Bond - G raph

Les systèmes mécatroniques requièrent une forte intégration physique et fonctionnelle. Pour répondre au premier besoin, l’usage d’un outil de modélisation multiphysique tel que le Bond-Graph est nécessaire. Son extension à la modélisation fonctionnelle est possible si la description informationnelle des échanges fonctionnels peut être mise sous forme d’action- réaction. Les travaux exposés proposent une méthodologie de conception du niveau architectural d’un système mécatronique d’assistance à l’opérateur, basée sur une modélisation multi - physique et multi - domaine (physique et informationnel) de son cahier des charge

A Multimodel Approach for Complex Systems Modeling based on Classification Algorithms

In this paper, a new multimodel approach for complex systems modeling based on classification algorithms is presented. It requires firstly the determination of the model-base. For this, the number of models is selected via a neural network and a rival penalized competitive learning (RPCL), and the operating clusters are identified by using the fuzzy K-means algorithm. The obtained results are then exploited for the parametric identification of the models. The second step consists in validating the proposed model-base by using the adequate method of validity computation. Two examples are presented in this paper which show the efficiency of the proposed approach

Conception architecturale d’un système mécatronique d’assistance à opérateur par Bond-Graph

Les systèmes mécatroniques requièrent une forte intégration physique et fonctionnelle. Pour répondre au premier besoin, l’usage d’un outil de modélisation multi-physique tel que le Bond-Graph est nécessaire. Son extension à la modélisation fonctionnelle est possible si la description informationnelle des échanges fonctionnels peut être mise sous forme d’action-réaction. Les travaux exposés proposent une méthodologie de conception du niveau architectural d’un système mécatronique d’assistance à l’opérateur, basée sur une modélisation multi-physique et multi-domaine (physique et informationnel) de son cahier des charges

Modeling of inertial and compliance parametric uncertainties in Port-Hamiltonian systems using LFR

This paper presents a Linear Fractional Representation of a Port Hamiltonian System for which uncertainties are concentrated on the Hamitonian parameters. A basic block-diagram is provided and an illustration is shown on a hand-held cutting tool viewed as an effort multiplier

Numerical Aspects and Performances of Trajectory Planning Methods of Flexible Axes

Adequate Path Planning design is an important stage for controlling flexible axes because it may allow to cancel vibrations induced by oscillating modes. Among bang-bang profiles which are linked to optimal control, jerk assignment (acceleration derivative) and input shapers have been investigated. Theoretical results show the performance and robustness with respect to natural frequency mismatch. Practical validations on a real robot arm show the relevance of the jerk algorithm which is more robust with the same productivity performances as input shaping techniques

Event-triggered variable horizon supervisory predictive control of hybrid power plants

The supervision of a hybrid power plant, including solar panels, a gas microturbine and a storage unit operating under varying solar power profiles is considered. The Economic Supervisory Predictive controller assigns the power references to the controlled subsystems of the hybrid cell using a financial criterion. A prediction of the renewable sources power is embedded into the supervisor. Results deteriorate when the solar power is unsteady, owing to the inaccuracy of the predictions for a long-range horizon of 10 s.The receding horizon is switched between an upper and a lower value according to the amplitude of the solar power trend. Theoretical results show the relevance of horizon switching, according to a tradeoff between performance and prediction accuracy. Experimental results, obtained in a Hardware In the Loop (HIL) framework, show the relevance of the variable horizon approach. Power amplifiers allow to simulate virtual components, such as a gas microturbine, and to blend their powers with that of real devices (storage unit, real solar panels). In this case, fuel savings, reaching 15 %, obtained under unsteady operating conditions lead to a better overall performance of the hybrid cell. The overall savings obtained in the experiments amount to 12 %

Economic supervisory predictive control of a hybrid power generation plant

This work deals with the development of an economic supervisory predictive control method for the management of a hybrid renewable energy system. The hybrid cell integrates solar panels, a gas microturbine and a storage unit. Tuning the predictive controller is easy: the optimal criterion encom- passes the environmental, fuel, energy delivery and storage costs. Short time predictions of the solar power are embedded in the supervisor which yields smoother battery control and better power management. Real-time experiments are driven in a Hardware-in-the-Loop framework illustrating the relevance of the proposed supervisory predictive control design

Embedding OLTC nonlinearities in predictive Volt Var Control for active distribution networks

Volatile productions and consumptions generate a stochastic behavior of distribution grids and make its supervision difficult to achieve. Usually, the Distributed Generators reactive powers are adjusted to perform decentralized voltage control. Industrial controllers are generally equipped with a local affine feedback law, which settings are tuned at early stage using local data. A centralized and more efficient tuning method should aim to maximize the probability that all the node voltages of distribution grids remain within prescribed bounds. When the characteristics of the stochastic power forecasts are known, the centralized algorithm allows to update the settings on a regular time basis. However, the method requires to solve stochastic optimization problem. Assuming that stochastic variables have Gaussian distributions, a procedure is given which guarantees the convergence of the stochastic optimization. Convex problems drastically reduce the difficulty and the computational time required to reach the global minimum, compared to nonconvex optimal power flow problems. The linear controllers with optimized parameters are compared to traditional control laws using simulations of a real distribution grid model. The results show that the algorithm is reliable and moreover fast enough. Hence, the proposed method can be used to update periodically the control parameters