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E-raamat: Intelligent Mechatronic Systems: Modeling, Control and Diagnosis

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  • Ilmumisaeg: 27-Nov-2012
  • Kirjastus: Springer London Ltd
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  • ISBN-13: 9781447146285
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Intelligent Mechatronic Systems: Modeling, Control and DiagnosisSuurem pilt
  • Formaat: PDF+DRM
  • Ilmumisaeg: 27-Nov-2012
  • Kirjastus: Springer London Ltd
  • Keel: eng
  • ISBN-13: 9781447146285
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Acting as a support resource for practitioners and professionals looking to advance their understanding of complex mechatronic systems, Intelligent Mechatronic Systems explains their design and recent developments from first principles to practical applications. Detailed descriptions of the mathematical models of complex mechatronic systems, developed from fundamental physical relationships, are built on to develop innovative solutions with particular emphasis on physical model-based control strategies.





Following a concurrent engineering approach, supported by industrial case studies, and drawing on the practical experience of the authors, Intelligent Mechatronic Systems covers range of topic and includes:





 An explanation of a common graphical tool for integrated design and its uses from modeling and simulation to the control synthesis





Introductions to key concepts such as different means of achieving fault tolerance, robust overwhelming control and force and impedance control





Dedicated chapters for advanced topics such as multibody dynamics and micro-electromechanical systems, vehicle mechatronic systems, robot kinematics and dynamics, space robotics and intelligent transportation systems





Detailed discussion of cooperative environments and reconfigurable systems





Intelligent Mechatronic Systems provides control, electrical and mechanical engineers and researchers in industrial automation with a means to design practical, functional and safe intelligent systems.
Part I Theory
1 Elements of Mechatronic Systems
3(12)
1.1 Introduction
3(1)
1.2 Actuators
4(1)
1.3 Sensors
4(1)
1.4 Input Signal Conditioning and Interfacing
5(1)
1.5 Digital Control Architecture
5(1)
1.6 Output Signal Conditioning and Interfacing
6(1)
1.7 Displays
6(1)
1.8 Intelligent System
6(1)
1.9 Reconfigurable Systems
6(1)
1.10 Autonomous Supervisory Control
7(1)
1.11 Artificial Intelligence
7(1)
1.12 Knowledgebase
8(2)
1.13 Decision Support System
10(1)
1.14 Diagnosis
10(1)
1.15 Fault, Failure, and Safety
10(1)
1.16 Fault Tolerance
11(1)
1.17 Examples of Mechatronic Systems
11(2)
1.17.1 A Copy Machine
11(1)
1.17.2 Walking Robot
12(1)
1.18 Why Mechatronics System Simulation?
13(1)
1.19 Future of Mechatronics
14(1)
References
14(1)
2 Bond Graph Modeling of Mechatronic Systems
15(96)
2.1 Why Bond Graph for Mechatronics?
15(1)
2.2 Bond Graph for Modeling, Control, and Diagnosis
16(1)
2.3 Bond Graph Modeling Theory
17(6)
2.3.1 Concepts and Definitions
17(1)
2.3.2 Power as a Unified Coordinate System
18(1)
2.3.3 Power Variables
19(1)
2.3.4 Energy Variables
20(1)
2.3.5 Pseudo Bond Graph
21(2)
2.3.6 Analogy of Energy Variables
23(1)
2.4 Bond Graph Elements
23(19)
2.4.1 One-Port Passive Elements
25(6)
2.4.2 Active Elements
31(1)
2.4.3 Junctions
32(2)
2.4.4 Two-Port Elements: Transformer and Gyrator
34(3)
2.4.5 Information Bond
37(5)
2.5 Causality
42(8)
2.5.1 Sequential Causality Assignment Procedure (SCAP)
44(2)
2.5.2 Derivative Causality and Its Implications
46(3)
2.5.3 Bicausal Bond Graphs
49(1)
2.6 Causal Path
50(5)
2.6.1 Different Types of Causal Paths
50(2)
2.6.2 Closed Causal Paths
52(1)
2.6.3 Causal Path Gain
52(3)
2.7 State-Space Equations
55(7)
2.7.1 State Equations
56(1)
2.7.2 Properties of State Variables
56(1)
2.7.3 Steps for Equation Derivation
57(1)
2.7.4 Example: State-Space Equation of an Electrical System
57(2)
2.7.5 Deriving Block Diagram Model from Bond Graph Model
59(1)
2.7.6 Model Structure
60(2)
2.8 The Art of Constructing Bond Graph Models
62(20)
2.8.1 A Note on Power Directions
62(1)
2.8.2 Simplification Rules
63(2)
2.8.3 Bond Graphs for Electrical Systems
65(3)
2.8.4 Bond Graphs for Equivalent Networks
68(1)
2.8.5 Bond Graphs for Mechanical Systems
69(8)
2.8.6 Bond Graphs for Multi-Energy Domain Systems
77(2)
2.8.7 Nonlinear Models
79(3)
2.9 Multiport Field Elements
82(15)
2.9.1 RS Element
82(1)
2.9.2 Multiport Elements in Process Engineering
83(3)
2.9.3 C-Field
86(2)
2.9.4 I-Field
88(3)
2.9.5 IC-Field
91(1)
2.9.6 R-Field
92(1)
2.9.7 Vector Junction
93(1)
2.9.8 Multiport Transformers and Gyrators
93(2)
2.9.9 Vector Bond Graph for Rigid-Body Dynamics
95(2)
2.10 Bond Graph Modeling of Uncertain Systems
97(3)
2.10.1 Linear Fractional Transformation (LFT)
97(1)
2.10.2 LFT Modeling of Bond Graph Elements
98(2)
2.11 Automated Modeling: An Application Example
100(7)
2.11.1 Bond Graph Software
100(2)
2.11.2 Description of the System
102(1)
2.11.3 Word Bond Graph
102(1)
2.11.4 Bond Graph Model
103(1)
2.11.5 Simulation Block Diagram
104(1)
2.11.6 Stale Equations and Simulation
105(2)
References
107(4)
3 Modeling of Actuators, Sensors, and Electronic Circuits
111(120)
3.1 Models of Actuators
111(51)
3.1.1 Models of Mechanical Actuators
112(18)
3.1.2 Models of Electrical Actuators
130(21)
3.1.3 Models of Hydraulic Servo-Actuator
151(2)
3.1.4 Model of Pneumatic Actuators
153(9)
3.2 Modeling of Sensors
162(18)
3.2.1 Performance Terminology
163(1)
3.2.2 Static and Dynamic Characteristics
164(1)
3.2.3 Classification of Sensors
164(1)
3.2.4 Selection Criteria
165(1)
3.2.5 Activation of Bonds
165(1)
3.2.6 Power Associated with Activated Bonds
166(1)
3.2.7 Modeling Mechatronic Systems with Activated Bonds
166(2)
3.2.8 Position Sensors
168(6)
3.2.9 Velocity Sensors
174(1)
3.2.10 Acceleration Sensors
175(2)
3.2.11 Force and Pressure Sensors
177(3)
3.3 Models of Electronic Circuit Components
180(47)
3.3.1 Signal Conditioning
180(1)
3.3.2 Operational Amplifiers
181(6)
3.3.3 Op-Amp Circuits
187(9)
3.3.4 Semiconductor Diode
196(9)
3.3.5 Transistor
205(22)
3.4 Conclusions
227(2)
References
229(2)
4 Physical Model-Based Control
231(50)
4.1 Introduction
231(1)
4.2 Model Conversions
232(12)
4.2.1 Construction of Signal Flow Graph
232(6)
4.2.2 Transfer Function from State-Space Models
238(2)
4.2.3 Block Diagram Models
240(4)
4.3 Causal Paths
244(7)
4.3.1 Transfer Function from Causal Paths
245(1)
4.3.2 Closed-Loop Transfer Function
246(5)
4.4 Controller and Observer Design
251(5)
4.4.1 Pole Placement
252(1)
4.4.2 Controllability and Observability
253(3)
4.5 Structural Analysis of Control Properties
256(18)
4.5.1 Structural Rank
259(3)
4.5.2 Structural Controllability
262(2)
4.5.3 Structural Observability
264(2)
4.5.4 Infinite Zeroes and Relative Degree
266(6)
4.5.5 Zero Dynamics
272(2)
4.6 Discrete-Time Models
274(2)
4.7 Actuator Sizing
276(3)
References
279(2)
5 Rigid Body, Flexible Body, and Micro Electromechanical Systems
281(156)
5.1 Introduction
281(1)
5.2 Planar Multibody Systems
282(24)
5.2.1 Bond Graph Modeling of Flexible Two-Force Members
282(2)
5.2.2 Model of Rigid Planar Links
284(1)
5.2.3 Modeling Revolute Joints
285(2)
5.2.4 Detailed Model of Revolute Joint
287(4)
5.2.5 Model of the Slider Component
291(3)
5.2.6 Case Study-I: Rapson Slide
294(3)
5.2.7 Case Study-II: A Seven-Body Mechanism
297(3)
5.2.8 Modeling Hydraulic Actuators
300(6)
5.3 Spatial Multibody Systems
306(15)
5.3.1 Noninertial Reference Frame
306(1)
5.3.2 Euler Angles
307(3)
5.3.3 Coordinate Transformation
310(2)
5.3.4 Transformation of Angular Velocities
312(3)
5.3.5 Model of a Spinning Top
315(3)
5.3.6 Model of Three-Dimensional Prismatic Joint
318(3)
5.4 Flexible Body Systems
321(72)
5.4.1 Beams
322(1)
5.4.2 Euler-Bernoulli Beam Model
322(6)
5.4.3 Beam Columns
328(3)
5.4.4 Rayleigh Beam Model
331(6)
5.4.5 Centrifugal Stiffening
337(3)
5.4.6 Beams Made of Two Layers
340(1)
5.4.7 Bimetallic Strip
341(4)
5.4.8 Piezoelectric Effect
345(15)
5.4.9 MEMS Devices
360(1)
5.4.10 Micromirrors
360(4)
5.4.11 Micromotors
364(6)
5.4.12 Energy Harvesting System
370(2)
5.4.13 Micropumps
372(4)
5.4.14 Shape-Memory Alloys
376(11)
5.4.15 A Note on Memristor and Memcapacitance
387(6)
5.5 Bearings and Rotors
393(34)
5.5.1 Rolling Element Bearings
393(4)
5.5.2 Journal Bearing
397(5)
5.5.3 Magnetic Bearing
402(12)
5.5.4 Source Interaction in Rotor Dynamics
414(10)
5.5.5 Shape-Memory Alloy Based Control of Passage Through Resonance
424(3)
References
427(10)
Part II Advanced Topics and Applications
6 Vehicle Mechatronic Systems
437(140)
6.1 Model of a Four Wheel Vehicle
438(37)
6.1.1 Word Bond Graph Representation
439(1)
6.1.2 Tire Slip Forces and Moments
439(3)
6.1.3 Vehicle Body
442(2)
6.1.4 Suspension System
444(1)
6.1.5 Wheels
444(2)
6.1.6 Steering System
446(1)
6.1.7 Slider-Crank System
447(2)
6.1.8 Engine
449(9)
6.1.9 Gearbox
458(1)
6.1.10 Differential
459(3)
6.1.11 Transmission Line
462(1)
6.1.12 Engine Dynamics Simulation
463(3)
6.1.13 Clutch
466(7)
6.1.14 Integrated Four Wheel Vehicle Model
473(1)
6.1.15 Simulation Results for Four Wheel Model
473(2)
6.2 Suspension Systems
475(22)
6.2.1 Passive Liquid-Spring Shock Absorber
477(6)
6.2.2 Active Suspensions
483(9)
6.2.3 Semi-active Suspensions
492(5)
6.3 Anti-Roll Bar and Ride Height Management
497(4)
6.3.1 Passive Anti-Roll Bar
498(1)
6.3.2 Active Anti-Roll and Ride Height Management System
499(2)
6.4 Power Steering
501(4)
6.4.1 Drive-by-Wire System
501(1)
6.4.2 Integral Power Steering
501(1)
6.4.3 Differential-Type Power Steering
502(2)
6.4.4 Electric Power-Assisted Steering Model
504(1)
6.5 Antilock Braking System
505(12)
6.5.1 Antilock Braking Algorithm
507(2)
6.5.2 Bicycle Vehicle Model
509(3)
6.5.3 ABS Performance Simulation
512(1)
6.5.4 ABS Performance While Braking and Maneuvering
513(1)
6.5.5 Sliding Mode ABS Control
514(3)
6.6 Regenerative Braking System
517(8)
6.6.1 Regenerative Braking Algorithm
519(2)
6.6.2 Validation of Regenerative Braking
521(1)
6.6.3 Modified Full Vehicle Model
522(1)
6.6.4 Performance of SMC-Based ABS with Regeneration
523(2)
6.7 Hybrid Vehicles
525(4)
6.7.1 Classification of Hybrid Vehicles
525(1)
6.7.2 Power-Split Device
526(3)
6.8 Automatic Transmission
529(8)
6.8.1 Components of Automatic Transmission System
530(2)
6.8.2 Bond Graph Model of Automatic Transmission
532(1)
6.8.3 Torque Converter Model
533(2)
6.8.4 Gear Shift Logic and Transmission System Model
535(2)
6.9 Fuel Cells
537(34)
6.9.1 Classification of Fuel Cells
538(1)
6.9.2 Solid Oxide Fuel Cell
539(1)
6.9.3 Chemical Equilibrium
540(1)
6.9.4 Bond Graph Model of Chemical Reaction Kinetics
541(3)
6.9.5 SOFC Modeling
544(18)
6.9.6 SOFC Control
562(2)
6.9.7 Proton Exchange Membrane Fuel Cell
564(1)
6.9.8 PEMFC Control
565(2)
6.9.9 PEMFC Bond Graph Model
567(4)
References
571(6)
7 Model-Based Fault Diagnosis and Fault Tolerant Control
577(42)
7.1 Introduction
577(3)
7.2 Quantitative Fault Detection
580(4)
7.2.1 Analytical Redundancy Relations
581(2)
7.2.2 Fault Signature Matrix
583(1)
7.2.3 Coherence Vector
583(1)
7.3 Bond Graph Model-Based Diagnosis
584(1)
7.4 Example Application: An Autonomous Vehicle
585(10)
7.4.1 System Description
585(2)
7.4.2 Bond Graph Model
587(2)
7.4.3 Generation of Fault Indicators
589(2)
7.4.4 Fault Isolation
591(1)
7.4.5 Fault Accommodation Through Reconfiguration
592(1)
7.4.6 Fault Tolerant Control
592(1)
7.4.7 Simulation Results
593(2)
7.5 Diagnosis of Uncertain Systems
595(17)
7.5.1 LFT Bond Graphs for Robust FDI
596(1)
7.5.2 Generation of Robust Residuals
597(2)
7.5.3 Sensitivity Analysis
599(4)
7.5.4 Application to a Mechatronic System
603(2)
7.5.5 Robust FDI Procedure
605(3)
7.5.6 Simulation Results
608(3)
7.5.7 Experimental Results
611(1)
7.6 Conclusion
612(1)
References
613(6)
8 Introduction to Robotic Manipulators
619(64)
8.1 Introduction
619(1)
8.2 Types of Robots
620(1)
8.3 Basic Terminology
620(2)
8.4 Manipulator Transformations
622(7)
8.4.1 Notations
623(1)
8.4.2 Rotation
623(3)
8.4.3 Translating Coordinate Frames
626(1)
8.4.4 Homogeneous Transformation Matrices
627(2)
8.5 D-H Parameters
629(3)
8.5.1 Assigning Coordinate Frames
629(1)
8.5.2 Special Cases
630(1)
8.5.3 D-H Parameters
630(2)
8.6 Manipulator Kinematics
632(4)
8.6.1 Forward Kinematics
632(2)
8.6.2 Inverse Kinematics
634(2)
8.7 Linear and Rotational Frames in Rigid Bodies
636(4)
8.7.1 Translational Motion of Rigid Bodies
636(1)
8.7.2 Rotational Motion of Rigid Bodies
637(2)
8.7.3 Velocity Propagation from Link to Link
639(1)
8.7.4 Jacobian
640(1)
8.8 Manipulator Dynamics
640(21)
8.8.1 Lagrange Formulation
642(3)
8.8.2 Newton-Euler Formulation
645(1)
8.8.3 Bond Graph Modeling
645(16)
8.9 Modeling of Flexible-Arm Manipulators
661(6)
8.9.1 Beam Models
662(1)
8.9.2 Euler-Bernoulli Formulation
662(5)
8.10 Mechatronic Design and Control of a Planar Cooperative Robot
667(9)
8.10.1 Trajectory Plots
667(1)
8.10.2 Manipulator Dynamic Equation
668(1)
8.10.3 Controller Design
669(2)
8.10.4 Design of Cooperative Robot System
671(1)
8.10.5 Controller Description
672(3)
8.10.6 Trajectory Tracking
675(1)
8.11 Haptic Robots
676(6)
8.11.1 Working Principle of Haptic Device
677(2)
8.11.2 Applications of Haptic Devices
679(1)
8.11.3 Experiments with PHANTOM Omni Haptic Device
680(2)
References
682(1)
9 Robust Overwhelming Control and Impedance Control
683(20)
9.1 Introduction
683(1)
9.2 Concept of Robust Overwhelming Control
683(3)
9.3 Robust Controller for Terrestrial Manipulators
686(5)
9.3.1 Case 1: Effort as a Reference Input
686(3)
9.3.2 Case 2: Flow as a Reference Input
689(2)
9.4 Robust Overwhelming Controller for Terrestrial Manipulator on a Flexible Foundation
691(3)
9.5 Impedance Controller for Terrestrial Robots
694(4)
9.5.1 Considerations for a Position-Force Controller for Ground Robots
694(1)
9.5.2 A Robust Impedance Controller for Terrestrial Robot
695(3)
9.6 Concept of Virtual Foundation
698(3)
References
701(2)
10 Modeling and Control of Space Robots
703(66)
10.1 Introduction
703(4)
10.2 Space Robot as a Nonholonomic System
707(1)
10.3 Stationary Versus Space Robot's Formulation
708(1)
10.4 Mechanics of Space Robots
709(7)
10.4.1 Notation
709(1)
10.4.2 Assumptions
710(1)
10.4.3 Space Vehicle Dynamics
710(2)
10.4.4 Arm Dynamics
712(2)
10.4.5 Free-Flying Robot Dynamics
714(2)
10.5 Bond Graph Modeling of Space Robots
716(13)
10.5.1 Modeling of a Two DOF Planar Space Robot
716(2)
10.5.2 Object-Oriented Modeling of Space Robots
718(11)
10.6 Trajectory Control of Space Robot
729(8)
10.6.1 Robust Overwhelming Controller
730(4)
10.6.2 A Free-Floating Space Manipulator
734(1)
10.6.3 Simulation and Validation
735(2)
10.7 Impedance Control of Space Robots
737(30)
10.7.1 Introduction
737(2)
10.7.2 Force Control by Impedance Control
739(1)
10.7.3 Modeling of One Translational DOF Impedance Controller
740(10)
10.7.4 Force Control of a Two DOF Planar Space Robot
750(11)
10.7.5 Torque Control of a Two DOF Planar Space Robot
761(6)
10.8 Conclusions
767(1)
References
767(2)
11 Intelligent Transportation Systems
769(100)
11.1 Introduction
769(5)
11.2 Modeling of a Class of Intelligent Autonomous Vehicles
774(8)
11.2.1 RobuCar's Electric Vehicle Description
774(5)
11.2.2 Word Bond Graph of RobuCar's System
779(1)
11.2.3 Kinematic and Geometric Models
780(2)
11.3 Quarter Vehicle Model
782(33)
11.3.1 Tire Modeling
784(16)
11.3.2 Electromechanical Traction System
800(15)
11.4 Dynamic Modeling of the Chassis
815(13)
11.4.1 Longitudinal Dynamic Modeling
815(1)
11.4.2 Lateral Dynamic Modeling
816(1)
11.4.3 Yaw Dynamic Modeling
817(1)
11.4.4 Suspension Dynamics Modeling
818(6)
11.4.5 Pitch Dynamics Modeling
824(2)
11.4.6 Roll Dynamics Modeling
826(2)
11.5 Fault Detection and Isolation
828(6)
11.5.1 ARRs Generation
828(3)
11.5.2 Results of Co-Simulation
831(3)
11.6 Robust Diagnosis
834(9)
11.6.1 Principle and Definitions
834(2)
11.6.2 LFT Bond Graph Model
836(2)
11.6.3 Robust ARRs Generation
838(1)
11.6.4 Results of Co-Simulation
839(4)
11.7 Fault Tolerant Control
843(9)
11.7.1 Objectives and Principle
843(3)
11.7.2 Active Reconfiguration and Co-Simulation Results
846(6)
11.8 Homogeneous Cooperation of Intelligent Autonomous Vehicles
852(12)
11.8.1 Modeling of Homogeneous Train of Intelligent Autonomous Vehicles
852(2)
11.8.2 Modeling of Operation Modes of Intelligent Transportation System
854(4)
11.8.3 Case Studies
858(5)
11.8.4 Results of Co-Simulation
863(1)
11.9 Conclusion
864(1)
References
865(4)
12 Telediagnosis of Mechatronic Systems
869(40)
12.1 Introduction
869(1)
12.2 Examples
870(4)
12.2.1 Online Robot Supervision Using a Mobile Phone
870(3)
12.2.2 Cooperation Between Omnidirectional Robots
873(1)
12.2.3 Intelligent Human-Robot Interaction
874(1)
12.3 Fault Diagnosis in Networked Control System
874(2)
12.4 Hybrid Model-Based Fault Diagnosis in NCS; Application to Telerobotics
876(6)
12.4.1 Network Part Modeling and Fault Diagnosis Observer
876(3)
12.4.2 Control System Modeling and Fault Diagnosis
879(3)
12.5 Application to Telerobotic System
882(24)
12.5.1 Robot System Description
882(1)
12.5.2 Word Bond Graph
883(2)
12.5.3 Modeling and Fault Diagnosis of Serial Cable
885(3)
12.5.4 Modeling and Fault Diagnosis of the Robot Part
888(18)
12.6 Conclusion
906(1)
References
907(2)
13 Road Vehicle Driving Simulator
909(26)
13.1 Human-Machine Interface
909(1)
13.2 Overwhelming Controller as a System Inversion Tool
910(5)
13.3 Modeling of 3D Stewart Platform
915(6)
13.3.1 3D Stewart Platform Model Without Leg Inertia
916(2)
13.3.2 3D Actuator Model
918(3)
13.3.3 3D Stewart Platform Model with Leg Inertia
921(1)
13.3.4 Inverse Model of 3D Stewart Platform
921(1)
13.4 Graphics Interface
921(5)
13.5 Stewart Platform for Vehicle Simulator
926(2)
13.6 Results of Test Drive of Driving Simulator
928(3)
13.7 Conclusions
931(2)
References
933(2)
Index 935
Rochdi Merzouki is a Professor at Ecole Polytechnique Universitaire de Lille, France. He obtained a degree in electrical engineering from the University of Batna, in 1996 and a PhD degree in Robotics and Automation from the University of Versailles in 2002. His main research areas concern Mechatronic system design and fault tolerant control of complex systems such as robotic and transportation systems. He is an academic member of international public transport union UITP. He has authored many journal papers and reviews on mechatronic systems and their applications.

Arun Kumar Samantaray is an associate professor in the Department of Mechanical Engineering at the Indian Institute of Technology, Kharagpur. He graduated in 1989 from the College of Engineering and Technology (CET), India, in Mechanical Engineering. He received the master degree in Dynamics and Control and PhD degree in Mechanical Engineering (Rotor Dynamics) from the Indian Institute of Technology-Kharagpur, in 1991 and 1996, respectively. From 1996 to 2001, he worked as a Project Manager for HighTech Consultants. From 2001 to 2004, he was a research scientist at Université des Sciences et Technolgies de Lille (France). He is an author of bond graph modelling software SYMBOLS and also the editor-in-chief of the bond graph forum at

www.bondgraphs.info. His research areas are multi-body dynamics, non-linear mechanics, and systems and control. He has authored two books and more than 50 journal articles in his field. He is also a consultant to various industries requiring help in modelling, simulation, design, fault detection, and automation.

 

Pushparaj Mani Pathak is working as an assistant professor in Mechanical and Industrial Engineering Department, Indian Institute of Technology-Roorkee. He did his Bachelor of Technology degree from National Institute of Technology, Calicut, India, in 1988. After serving in Department of Telecommunication for about six years in 1994he joined National Institute of Technology, Raipur, India, as a lecturer in Mechanical Engineering Department. He obtained his Master of Technology degree in solid mechanics and design from Indian Institute of Technology-Kanpur in 1998. He obtained his PhD in Mechanical Engineering (space robotics) from Indian Institute of Technology-Kharagpur in 2005. His research areas are space robotics, underwater robotics, walking robot dynamics, mechatronics modelling and control.

 

Belkacem Ould Bouamama is a full professor at the Université des Sciences et Technolgies de Lille (France). He graduated in 1982 from the Institut National des Hydrocarbures et de la Chimie Boumerdes (INHC) in Process Control. He received his Ph.D. degree in 1987 from Goubkine Institute of Petroleum and Gas of Moscow. From 1988 to 1994, he was researcher and head of department of automatic control at INHC. From 1994 to 2000, he was an associate professor in Control Engineering at the Université des Sciences et Technolgies de Lille (France). Currently he is the dean of post graduate studies at Ecole Polytechnique de Lille and he also heads the interdisciplinary group on Fault Detection and Isolation using Bond Graph models at the Laboratoire d'Automatique, Génie Informatique & Signal, Lille, France. His main research areas are industrial automation, process supervision and control. He has authored two books and several monographs. He has acted as chairman of various international conferences and workshops
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