Abdallah Habbadi

Distributed machining control and monitoring using smart sensors/actuators

The study of smart sensors and actuators led, during the past few years, to the development of facilities which improve traditional sensors and actuators in a necessary way to automate production systems. In another context, many studies have been carried out aimed at defining a decisional structure for production activity control and the increasing need of reactivity leads to the autonomization of decisional levels close to the operational system. We study in this paper the natural convergence between these two approaches and we propose an integration architecture, dealing with machine tool and machining control, that enables the exploitation of distributed smart sensors and actuators in the decisional system.

Output Error Identification Algorithms for Continuous-Time Systems Operating in Closed-Loop

Abstract This paper presents off-line and recursive output error identification algorithms for linear continuous-time systems operating in closed-loop from sampled data. The resulting algorithm can be considered as the continuous-time version of the Filtered Closed Loop Output Error (F-CLOE) identification method for discrete-time systems proposed by Landau. Simulations results and the application of the proposed strategy to an experimental liquid level control system are also presented.

Time domain identification of continuous-time systems with time delay using output error method from sampled data

Abstract This paper presents an off-line time domain output error identification algorithm for linear continuous-time systems with time delay from sampled data. The proposed method use a NonLinear Programming algorithm and needs an initialization step that is also proposed from a modification of the Yang algorithms. Simulations, as illustrated by Monte-Carlo runs, show that the obtained parameters are unbiased and very accurate.

Least squares and output error identification algorithms for continuous time systems with unknown time delay operating in open or closed loop

Abstract This paper presents two off-line output error identification algorithms for linear continuous-time systems with unknown time delay from sampled data. The proposed methods (for open and closed loop systems) use a Nonlinear Programming algorithm and need an initialization step that is also proposed from a modification of the Yang algorithm. Simulations, as illustrated by Monte-Carlo runs, show that the obtained parameters are unbiased and very accurate.

A Neural Network for Parameter Estimation of a DC Motor for Feed-Drives

The monitoring of machine-tools implicated in the metal cutting process is the subject of increasing developments because of demands on control, reliability, availability of machine-tools and on the work-piece quality. The use of computers contributes to a better machine and process monitoring by enabling the implementation of complex algorithms for control, monitoring,...

A new identification approach for a synchronous drive

This paper describes a new identification approach for a synchronous electromechanical drive. The electrical and the mechanical parts of the drive are identified. The identification is done when the system is in closed loop and in real operating conditions. Thus the approach can be used to perform monitoring and diagnosis actions. The originality of the approach is in the use of the a priori known input/output signals and control structure, but without precise knowledge of the controller parameters.

Contribution to Multiagent Machine-Tool Control: Intelligent Sensors for Feeddrive Monitoring

This survey aims at proposing a contribution to the multiagent control of machine tools in order to improve their availability and the quality of the machined parts. This contribution consists in an agent that realises the monitoring of a machine tool feeddrive. This agent is designed according to the intelligent sensor concept. So, the paper firstly discusses the interests of multiagent systems and presents the intelligent sensor concept. A multiagent system organisation dedicated to NC machines is then proposed. After having presented the interests of feeddrives monitoring, it presents the treatments enabling this monitoring. This is followed by experimental results.

Distributed Smart Sensors and Actuators for Machining Control and Monitoring

Abstract The study of Smart Sensors/Actuators led, during the past few years, to the development of facilities which improve traditional Sensors/Actuators in a necessary way to automate production systems. In an other context, many studies were carried out aiming at defining a decisional structure for production activity control and the required reactivity led to the autonomisation of decisional levels close to the operational system. We suggest in this paper to study the natural convergence between these two approaches and we propose an integration architecture enabling the exploitation of Distributed Smart Sensors/Actuators in the decisional system dealing with machine tool monitoring and machining.