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8 Papers

Coupling Analysis and Control of a Turboprop Engine

Topics: Time-Frequency Analysis; System Modeling; Engineering Applications

Authors: C. Le Brun 1 , E. Godoy 1 , D. Beauvois 1 , B. Liacu 2 and R. Noguera 3

Affiliations: 1 Supelec, France , 2 SNECMA (SAFRAN), France , 3 Arts & Métiers ParisTech, France

Digital Object Identifier: 10.5220/0005575904200427

Proceedings of ICINCO 2015, ISBN: 978-989-758-122-9

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The goal of this paper is to describe the different steps of the decentralized control design applied on a turboprop engine. An important part of the present approach is the interaction analysis, which leads to the choice of a decentralized strategy with a full compensator. After designing the control laws, the structured singular value approach has allowed to validate the robustness of these. Control laws have finally been interpolated before implementation on the non-linear simulation model of turboprop engine.
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Computer Vision, Visualization and Computer Graphics

Informatics in Control, Automation and Robotics

Signal Processing, Sensors, Systems Modeling and Control

Engineering Applications

Intelligent Control Systems and Optimization

System Modeling

Image and Video Analysis

Robotics and Automation

Time-Frequency Analysis

Multi-loop Control Using Gershgorin and Ostrowski Bands

Topics: Intelligent Components for Control; System Modeling

Authors: C. Le Brun 1 , E. Godoy 1 , D. Beauvois 1 , N. Doncque 2 and R. Noguera 3

Affiliations: 1 Supelec, France , 2 SNECMA (SAFRAN), France , 3 Arts & Métiers ParisTech, France

Digital Object Identifier: 10.5220/0005017406350642

Proceedings of ICINCO 2014, ISBN: 978-989-758-039-0

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The goal of this paper is to develop a new method of decentralized control tuning. This method is based on Nyquist-Arrays and independently designs monovariable controllers for each loop of the plant while ensuring the robust stability of the multivariable system. It works on the optimization of a frequency criterion using the controller’s design parameters. PID controllers have been chosen in this study because of their good performances for most applications. Finally, the proposed method allows to achieve good performances and the stability is ensured thanks to the analysis of Gershgorin and Ostrowski bands.
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Informatics in Control, Automation and Robotics

Signal Processing, Sensors, Systems Modeling and Control

System Modeling
Intelligent Components for Control

Identification of Polytopic Models for a Linear Parameter-varying System Performed on a Vehicle

Topics: System Identification; System Modeling

Authors: Raluca Liacu , Dominique Beauvois and Emmanuel Godoy

Affiliation: Supelec Sciences of Systems (E3S), France

Digital Object Identifier: 10.5220/0004032504700475

Proceedings of ICINCO 2012, ISBN: 978-989-8565-21-1

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This paper deals with the parameter identification of continuous time polytopic models for a linear parameter-varying system (LPV). A continuous-time nonlinear identification approach is presented, a mix between a local approach and a global one is introduced in order to identify a LPV model for the lateral comportement of a vehicle. The proposed approach is based on the prediction error method for LTI systems, which is modified to take into account polytopic models and regularization terms. Using experimental data, different parameter-varying structures, explaining the lateral behavior of the vehicle, were identified by the proposed method considering the velocity as the scheduling parameter.
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Informatics in Control, Automation and Robotics

System Identification

System Modeling
Signal Processing, Sensors, Systems Modeling and Control

ROBUSTIFIED CONTROL OF A MULTIVARIABLE ROBOT

Topics: Adaptive Signal Processing and Control; Robot Design, Development and Control

Authors: Emanuel Dogaru , Cristina Stoica and Emmanuel Godoy

Affiliation: SUPELEC Systems Sciences (E3S), France

Digital Object Identifier: 10.5220/0003534002900299

Proceedings of ICINCO 2011, ISBN: 978-989-8425-74-4

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This paper presents the application of several advanced control techniques to a nonlinear strongly coupled multivariable robot. The main difficulties come from the flexibility of the mechanical chain, but also from the lack of joints sensors. In a first stage, a state-feedback linear quadratic (LQG) technique and a model predictive control (MPC) are designed using optimal observers. Considering additional sensors that provide measurements of accelerations increases the robustness of the controlled system. The second stage consists into adding a supplementary robustness layer (i.e. explicitly considering the robust stability under unstructured uncertainties) on the stabilizing MPC developed at the previous stage. Comparative results are proposed highlighting the trade-off between robust stability and nominal performance for disturbances rejection.
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Adaptive Signal Processing and Control

Robot Design, Development and Control

Signal Processing, Sensors, Systems Modeling and Control
Informatics in Control, Automation and Robotics

Robotics and Automation

PERIODIC DISTURBANCES REDUCTION IN THE CONTINUOUS CASTING PROCESS BY MEANS OF A MODIFIED SMITH PREDICTOR

Topics: Environmental Monitoring and Control; Computer and Microprocessor-Based Control; Real-Time Systems Control

Authors: Karim Jabri 1 , Alain Mouchette 1 , Bertrand Bèle 1 , Emmanual Godoy 2 and Didier Dumur 2

Affiliations: 1 ArcelorMittal Research, France , 2 Supélec, France

Digital Object Identifier: 10.5220/0002206901100115

Proceedings of ICINCO 2009, ISBN: 978-989-674-001-6

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In the continuous casting process, various control strategies are used to reduce the mold level fluctuations which cause surface defects in the final product. This paper proposes a control structure able to improve the reduction of the bulging effect on the mold level. It is based on the Aström’s modified Smith predictor scheme which presents the advantage that the setpoint response is decoupled from the disturbance rejection transfer function. control theory is utilized to develop the controller of this second loop. Both the disturbances rejection and the robust stabilization are considered in this design. Effective tuning rules are also given. Simulation results confirm that the proposed design is more effective than the one based on the PID control law currently implemented in several real plants.
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Computer and Microprocessor-Based Control

Informatics in Control, Automation and Robotics

Signal Processing, Sensors, Systems Modeling and Control
Environmental Monitoring and Control

Real-Time Systems Control

DISTURBANCES ESTIMATION FOR MOLD LEVEL CONTROL IN THE CONTINUOUS CASTING PROCESS

Topics: Signal Reconstruction; Information-Based Models for Control; Change Detection Problems

Authors: Karim Jabri 1 , Bertrand Bele 2 , Alain Mouchette 2 , Emmanuel Godoy 3 and Didier Dimur 3

Affiliations: 1 ArcelorMittal Research; Supélec, France , 2 ArcelorMittal Research, France , 3 Supélec, France

Digital Object Identifier: 10.5220/0001486601190124

Proceedings of ICINCO 2008, ISBN: 978-989-8111-32-6

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This paper addresses the problem of mold level fluctuations in the continuous casting process, which strongly penalize the quality of the final product and lead to a costly machine downtime. Therefore, the mold level is controlled using a stopper as the flow control actuator and a level sensor. Under normal casting conditions, the current controllers provide suitable performances but abnormal conditions require manual intervention, such as the decrease of the casting speed, in particular when undesired disturbances like clogging/unclogging or bulging occur. These disturbances increase in severity for certain steel grades or at high casting speeds. Therefore, this paper focuses on the on-line disturbances estimation in order to introduce compensation actions. Starting with the presentation of the continuous casting process, the description of the model of the machine, and highlighting the main control challenges, an observer estimating clogging and bulging disturbances is then developed. This design may help future control architectures based on disturbances estimation. The proposed observer is finally validated by extracting disturbances from experimental signals measured on a continuous casting plant.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Business Analytics

Informatics in Control, Automation and Robotics

Signal Processing, Sensors, Systems Modeling and Control

Change Detection

Information-Based Models for Control

Signal Reconstruction
Data Engineering

A LOCAL LEARNING APPROACH TO REAL-TIME PARAMETER ESTIMATION - Application to an Aircraft

Topic: System Identification

Authors: Lilian Ronceray 1 , Matthieu Jeanneau 1 , Daniel Alazard 2 , Philippe Mouyon 3 and Sihem Tebbani 4

Affiliations: 1 Airbus France, France , 2 Supaéro, France , 3 ONERA, France , 4 École Supérieure d’Électricité, France

Digital Object Identifier: 10.5220/0001635103990403

Proceedings of ICINCO 2007, ISBN: 978-972-8865-84-9

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This paper proposes an approach based upon local learning techniques and real-time parameter estimation, to tune an aircraft sideslip estimator using radial-basis neural networks, during a flight test. After a presentation of the context, we recall the local model approach to radial-basis networks. The application to the estimation of the sideslip angle of an aircraft, is then described and the various results and analyses are detailled at the end before suggesting some improvement directions.
Collapse Button Related Ontology Subjects/Areas/Topics (3)
Informatics in Control, Automation and Robotics

Signal Processing, Sensors, Systems Modeling and Control

System Identification

IRREVERSIBILITY MODELING APPLIED TO THE CONTROL OF COMPLEX ROBOTIC DRIVE CHAINS

Topics: Robot Design, Development and Control; Modeling, Simulation and Architectures

Authors: Omar Al Assad 1 , Emmanuel Godoy 1 and Vincent Croulard 2

Affiliations: 1 Ecole Supérieure d’Electricité (Supélec), France , 2 General Electric Healthcare, France

Digital Object Identifier: 10.5220/0001629802170222

Proceedings of ICINCO 2007, ISBN: 978-972-8865-83-2

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The phenomena of static and dry friction may lead to difficult problems during low speed motion (e.g. stick slip phenomenon). However, they can be used to obtain irreversible mechanical transmissions. The latter tend to be very hard to model theoretically. In this paper, we propose a pragmatic approach to model irreversibility in robotic drive chains. The proposed methodology consists of using a state machine to describe the functional state of the transmission. After that, for each state we define the efficiency coefficient of the drive chain. This technique gives conclusive results during experimental validation and allows reproducing a reliable robot simulator. This simulator is set up for the purpose of position control of a medical positioning robot.
Collapse Button Related Ontology Subjects/Areas/Topics (4)
Informatics in Control, Automation and Robotics

Robot Design, Development and Control

Robotics and Automation
Modeling, Simulation and Architectures

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