Forecasting of renewable energy balance on Medium Term.

International audienceThe general purpose of the paper is to explore the way of performing renewable energy balance predictions prognostics so that energy market actors can act consequently. Different aspects of forecasting are discussed to point out pragmatic challenges of this approach. An illustration, with real monitored data, based on a neuro-fuzzy predictor is given. The architecture of the artificial intelligence technique used for forecasting is modified in order to obtain accurate estimations for medium term

Medium term load forecasting using ANFIS predictor.

International audienceNowadays, there are huge ranges of energy market participants. Commercial success of this area actor depends on the ability to submit competitive predictions relative to energy balance trends Thus, it seems convenient to "anticipate" this parameter evolution in time in order to act consequently and resort to protective actions. In this context, this paper proposes a tool for energy balance prediction based on ANFIS (Adaptive Neuro Fuzzy Inference System). This neuro- fuzzy predictor is modified in order to obtain an accurate forecasting for medium term. The solutions are illustrated on a real application and take into account the known "future”: the programmed actions

A fuzzy approach for discrete event systems recovery.

International audienceA fuzzy approach for modelling and analysing the recovery activities in discrete event systems is presented. Those essential components of the management of discrete event systems require special reasoning and methods to manage uncertain knowledge. For those purposes, we introduce a tool derived from the fuzzy Petri nets. This tool, inspired from the fault tree, generalizes the defects analysis by a temporal fuzzy approach. The recovery, modelled by a dedicated tool, preserves the fuzzy temporal aspect due to a real time information exchange mechanism provied by the monitoring system

Design and modeling of a piezoelectrically actuated microvalve.

International audienceIn this paper, we propose and model a new microvalve design based on a unimorph piezoelectric bending cantilever. When the piezoelectric structure is electrically driven, the valve opens with precise angles allowing smooth flow control. In order to understand the whole system dynamic behavior, a physical model is developed. While the developed model is strongly nonlinear

Review of prognostic problem in condition-based maintenance.

International audienceprognostic is nowadays recognized as a key feature in maintenance strategies as it should allow avoiding inopportune maintenance spending. Real prognostic systems are however scarce in industry. That can be explained from different aspects, on of them being the difficulty of choosing an efficient technology ; many approaches to support the prognostic process exist, whose applicability is highly dependent on industrial constraints. Thus, the general purpose of the paper is to explore the way of performing failure prognostics so that manager can act consequently. Diffent aspects of prognostic are discussed. The prognostic process is (re)defined and an overview of prognostic metrics is given. Following that, the "prognostic approaches" are described. The whole aims at giving an overview of the prognostic area, both from the academic and industrial points of views

New Approach in Control of Assembly/Disassembly Line Served by Robotic Manipulator Mounted on Mobile Platform

International audienceThe new idea of this paper is to make reversible an assembly line, i.e. to allow complete disassembly, by using a mobile platform equipped with robotic manipulator. The approach is a hybrid one in which the assembly/disassembly line is the discrete system whilst the wheeled mobile robot (WMR) together with the robotic manipulator (RM) is considered the continuous one. The mobile platform is used only in disassembling operations, in order to transport the components from the disassembling locations to the storage locations. Therefore, Synchronized Hybrid Petri Nets (SHPN) approach is used in modeling and control. This hybrid system takes into consideration the distribution of the necessary tasks to perform the hybrid disassembly of the components, using robot synchronization with flexible line process. The ultimate goal is to make completely reversible the assembly line. The SHPN model is transposed into LabView platform, thus getting a control structure of the mechatronic line and of WMR

Modelling and control of an assembly/disassembly mechatronics line served by mobile robot with manipulator

International audienceThe aim of this paper is to reverse an assembly line using a mobile platform equipped witha manipulator. By reversibility we mean that the line is able to perform disassembly. For this purpose,an assembly/disassembly line balancing (A/DLB) and asynchronised hybrid Petrinets (SHPN) model willbe used to model and control an assembly/disassembly mechatronics line (A/DML), with a fixed numberof workstations, served by a wheeled mobile robot (WMR) equipped with a robotic manipulator (RM).The SHPN model is a hybrid type, where A/DML is the discrete part, and WMR with RM is th econtinuouspart. Moreover, the model operates in synchronised mode with signals from sensors. Disassembly startsafter the assembly process and after the assembled piece fails the quality test, in order to recover theparts. The WMR with RM is used only during disassembly, to transport the parts from the disassemblinglocations to the storage locations. Using these models and a LabView platform, a real-time controlstructure has been designed and implemented, allowing automated assembly and disassembly, wherethe latter is assisted by a mobile platform equipped with a manipulator

Control and Obstacle Avoidance of a Mobile Platform Used as Robotic Assistant for Elderly and Disabled

National audienceIn this paper a fuzzy control and an obstacle avoidance system, together with a distributed system of embedded microcontrollers, are presented. In the real-time control, a wheeled mobile robot (WMR), Pioneer 3-DX, from Mobile Robots, has been used. The solution adopted can be easily ported for the implementation of an intelligent wheelchair, capable either to carry an elderly or disabled person, or to move independently in a smart environment, as a sensorial extension of the assisted individual. A number of control modules are located on the mobile robot, while others are deployed in an intelligent environment. This solution can significantly reduce the cost of developing a robotic assistant for the elderly and disabled. The structure of the real-time setup is described in detail, as well as the main algorithms used for each individual task: path following, obstacle avoidance, data acquisition. Also, an obstacle avoidance system, based on ricochet method, named "the bubble rebound method", is presented. This method is tested only by simulation

Training the Recurrent neural network by the Fuzzy Min-Max algorithm for fault prediction

International audienc