The Experts below are selected from a list of 4350 Experts worldwide ranked by ideXlab platform

Amro M Farid - One of the best experts on this subject based on the ideXlab platform.

  • extending the energy water nexus reference architecture to the sustainable development of agriculture industry commerce
    IEEE International Smart Cities Conference, 2015
    Co-Authors: Halima Abdulla, Amro M Farid
    Abstract:

    Clean energy and water are two essential resources that any society must securely deliver in order to develop sustainably. Traditionally, these two precious commodities are often treated as separate uncoupled systems. However, in reality, they are very much coupled in what is commonly known as the energy-water nexus. Recently, an infrastructure-centric reference architecture of the energy-water nexus in the electricity supply, engineered water supply and wastewater management systems has been developed; first graphically in SysML and later quantitatively using Bond Graphs. This made it possible to relate a region's energy and municipal water consumption to the required energy and water withdrawals in an input-output model so as to directly inform the planning & operations of energy-water infrastructure operators. In order to expand the utility of the model to high level policy decision-making, this paper now extends that work to address the sustainable development of agricultural, industrial, commercial and residential activities. In such a way, it relates the economic value of fossil fuels, food, products and commerce to input and waste streams of energy and water. Such a model provides high-level guidance to the design of sustainable development policies. Furthermore, the commitment to a physical modeling approach — unlike purely economic models — also directly informs the design of energy-water nexus infrastructure to achieve these sustainable development policy goals.

  • quantitative engineering systems modeling and analysis of the energy water nexus
    Applied Energy, 2014
    Co-Authors: William Naggaga Lubega, Amro M Farid
    Abstract:

    Abstract The energy–water nexus has been studied predominantly through discussions of policy options supported by data surveys and technology considerations. At a technology level, there have been attempts to optimize coupling points between the electricity and water systems to reduce the water-intensity of technologies in the former and the energy-intensity of technologies in the latter. To our knowledge, there has been little discussion of the energy–water nexus from an engineering systems perspective. A previous work presented a reference architecture of the energy–water nexus in the electricity supply, engineered water supply and wastewater management systems developed using the Systems Modeling Language (SysML). In this work, Bond Graphs are used to develop models that characterize the salient transmissions of matter and energy in and between the electricity, water and wastewater systems as identified in the reference architecture. These models, when combined, make it possible to relate a region’s energy and municipal water consumption to the required water withdrawals in an input–output model.

Clarence W. De Silva - One of the best experts on this subject based on the ideXlab platform.

  • design evolution of engineering systems using Bond Graphs and genetic programming
    Mechatronics, 2016
    Co-Authors: Buddhika L Samarakoon, L B Gamage, Clarence W. De Silva
    Abstract:

    Abstract This paper presents a scheme of evolutionary design optimization, which integrates modeling with Bond Graphs and optimization using genetic programming for multi-domain engineering systems, particularly mechatronic systems. The performance of the developed system is studied using both experimentation and simulation. During the evolutionary optimization, in addition to the desired response error, system complexity is also taken into account. For the experimental study, the method is implemented in an industrial fish processing machine at the Industrial Automation Laboratory of the University of British Columbia, and the obtained results for suggested design modifications are studied and tested. The drawbacks of the fitness calculation methodologies that are presented in literature are identified and improved fitness functions are developed for evolutionary design in the present work. While previous work has investigated the integration of Bond Graphs and genetic programming for designing an engineering system, the present work specifically addresses the application of the developed method for the design improvement of an industrial machine. The proposed method is applicable particularly to existing engineering systems, first because the initial model can be tested by comparing its simulated results with the corresponding results from the actual physical system, and second because the design improvements as suggested by the evolutionary design framework, which is developed in the present work, may be implemented and tested against the behavior of the corresponding model.

  • niching genetic scheme with Bond Graphs for topology and parameter optimization of a mechatronic system
    IEEE-ASME Transactions on Mechatronics, 2014
    Co-Authors: Clarence W. De Silva
    Abstract:

    This paper presents a novel multimodal evolutionary optimization algorithm for the complex problem of concurrent and integrated design of a mechatronic system, with the objective of realizing the best topology and the best parameters from a multicriteria viewpoint and with different preferences. The associated search space can be large and complex due to the existence of different classes of configurations, possible topologies, and the parameter values of the elements. The proposed algorithm efficiently explores the search space to find several elite configurations for different preferences, with more detailed competition by incorporating the domain knowledge of experts and considering some criteria that are not included in the course of regular evolutionary optimization. The developed approach consists of a two-loop optimization. For each topology, a genetic algorithm-based optimization is performed to find an elite representative of the topology. The elites will compete with each other to become the best design. A strategy of restricted competition selection is employed in the competition of topologies, with the aim of finding alternative elites from which the one that best satisfies the customer preference may be chosen. The designer may incorporate a higher level competition between elites in order to obtain the global optimum.

  • Mechatronic Design Evolution Using Bond Graphs and Hybrid Genetic Algorithm With Genetic Programming
    IEEE ASME Transactions on Mechatronics, 2013
    Co-Authors: Saeed Behbahani, Clarence W. De Silva
    Abstract:

    A typical mechatronic problem (modeling, identification, and design) entails finding the best system topology as well as the associated parameter values. The solution requires concurrent and integrated methodologies and tools based on the latest theories. The experience on natural evolution of an engineering system indicates that the system topology evolves at a much slower rate than the parametric values. This paper proposes a two-loop evolutionary tool, using a hybrid of genetic algorithm (GA) and genetic programming (GP) for design optimization of a mechatronic system. Specifically, GP is used for topology optimization, while GA is responsible for finding the elite solution within each topology proposed by GP. A memory feature is incorporated with the GP process to avoid the generation of repeated topologies, a common drawback of GP topology exploration. The synergic integration of GA with GP, along with the memory feature, provides a powerful search ability, which has been integrated with Bond Graphs (BG) for mechatronic model exploration. The software developed using this approach provides a unified tool for concurrent, integrated, and autonomous topological realization of a mechatronic problem. It finds the best solution (topology and parameters) starting from an abstract statement of the problem. It is able to carry out the process of system configuration realization, which is normally performed by human experts. The performance of the software tool is validated by applying it to mechatronic design problems.

  • mechatronics an integrated approach
    2005
    Co-Authors: Clarence W. De Silva
    Abstract:

    Table of MECHATRONIC ENGINEERING Mechatronic Systems Study of Mechatronics References and Further Reading DYNAMIC MODELS AND ANALOGIES Terminology Analogies State-Space Representation Model Linearization Linear Graphs State Models From Linear Graphs Electrical Systems Fluid Systems Thermal Systems Bond Graphs Transfer-Function Models Frequency Domain Models Response Analysis And Simulation MECHANICAL COMPONENTS AND ROBOTIC MANIPULATORS Mechanical Components Transmission Components Robotic Manipulators Robotic Grippers COMPONENT INTERCONNECTION AND SIGNAL CONDITIONING Component Interconnection Impedance Characteristics Amplifiers Analog Filters Modulators and Demodulators Analog-Digital Conversion Bridge Circuits Linearizing Devices Miscellaneous Signal Modification Circuitry Signal Analyzers And Display Devices PERFORMANCE SPECIFICATION AND ANALYSIS Parameters For Performance Specification Linearity Instrument Ratings Bandwidth Design Instrument Error Analysis Statistical Process Control ANALOG SENSORS AND TRANSDUCERS Terminology Motion Transducers Variable-Inductance Transducers Permanent-Magnet Transducers Variable-Capacitance Transducers Piezoelectric Sensors Effort Sensors Strain Gages Torque Sensors Tactile Sensing Gyroscopic Sensors Optical Sensors and Lasers Ultrasonic Sensors Thermo-Fluid Sensors Other Types of Sensors DIGITAL TRANSDUCERS Advantages Of Digital Transducers Shaft Encoders Incremental Optical Encoders Absolute Optical Encoders Encoder Error Miscellaneous Digital Transducers STEPPER MOTORS Principle of Operation Stepper Motor Classification Driver And Controller Torque Motion Characteristics Damping of Stepper Motors Stepping Motor Models Control of Stepper Motors Stepper Motor Selection and Applications CONTINUOUS-DRIVE ACTUATORS DC Motors DC Motor Equations Control of DC Motors Motor Driver DC Motor Selection Induction Motors Induction Motor Control Synchronous Motors Linear Actuators Hydraulic Actuators Hydraulic Control Systems Fluidics DIGITAL LOGIC AND HARDWARE Number Systems and Codes Logic and Boolean Algebra Combinational Logic Circuits Sequential Logic Devices MICROPROCESSORS AND PLCS Digital Computer Programmable Logic Controllers Data Acquisition And Control CONTROL SYSTEMS Control Engineering Control System Performance Control Schemes Stability and Routh-Hurwitz Criterion Root Locus Method Frequency Domain Analysis Controller Design and Tuning Compensator Design in the Frequency Domain Controller Tuning Design Using Root Locus Digital Control CASE STUDIES IN MECHATRONICS Design of a Mechatronic System Robotics Case Study Iron Butcher Case Study Projects Appendix A. Transform Techniques Laplace Transform Response Analysis Transfer Function Fourier Transform The S-Plane Appendix B. Software Tools SIMULINKO STATEFLOW MATLABO Control Systems Toolbox LabVIEWO Index

Nilanjan Sarkar - One of the best experts on this subject based on the ideXlab platform.

  • hybrid fault adaptive control of a wheeled mobile robot
    IEEE-ASME Transactions on Mechatronics, 2003
    Co-Authors: Zhen Zhang, Gautam Biswas, Nilanjan Sarkar
    Abstract:

    A fault adaptive control methodology for mobile robots is presented. The robot is modeled as a continuous system with a supervisory controller. The physical processes of the robot are modeled using Bond Graphs, and this forms the basis of a combined qualitative reasoning and quantitative model-based estimation scheme for online fault detection and isolation during robot operation. A hierarchical-control accommodation framework is developed for the supervisory controller that determines a suitable control strategy to accommodate the isolated fault. It is shown that for small degradations in actuation effort, a robust controller achieves fault accommodation without significant loss of performance. However, for larger faults, the supervisor needs to switch among several controllers to maintain acceptable performance. The switching stability among a set of trajectory tracking controllers is presented. Simulation results verify the proposed fault adaptive control technique for a mobile robot.

Belkacem Ouldbouamama - One of the best experts on this subject based on the ideXlab platform.

  • robust fault detection with interval valued uncertainties in Bond graph framework
    Control Engineering Practice, 2018
    Co-Authors: Mayankshekhar Jha, G Dauphintanguy, Belkacem Ouldbouamama
    Abstract:

    Abstract This paper describes a novel formalism for modelling uncertain system parameters and measurements, as interval models in a Bond Graph (BG) modelling framework. The main scientific interest remains in integrating the benefits of BG modelling technique and properties of Interval Analysis (IA), for efficient diagnosis of uncertain systems. Structural properties of Bond Graphs in Linear Fractional transformation (BG-LFT) are exploited to model interval-valued uncertainties over a BG model in order to form an uncertain BG. The inherent causal properties are exploited to generate interval-valued fault indicators. Then, various properties of IA are used to generate point valued residual and interval-valued thresholds. The latter must contain the point valued residuals under nominal system functioning. A systematic procedure is proposed for passive-type fault detection method which is robust to uncertain system parameters and measurements. The viability of the method is shown through experimental study of a steam generator system. The limitations associated with existing fault detection method based on BG-LFT are alleviated by the proposed approach. Moreover, it is shown that proposed approach generalizes the BG-LFT method. This work forms the initial step towards integrating interval analysis based capabilities in BG framework for fault detection and health monitoring of uncertain systems.

  • Bond Graphs for the diagnosis of chemical processes
    Computers & Chemical Engineering, 2012
    Co-Authors: Belkacem Ouldbouamama, El R Harabi, M N Abdelkrim, M Ben K Gayed
    Abstract:

    Abstract The paper deals with the use of coupled Bond graph as an integrated decision tool for health monitoring of chemical reactors. A Bond graph model based diagnostic strategy is adopted to detect and isolate kinetic and thermodynamic drift of chemical reactors due to the appearance of secondary reactions. Furthermore, the causal and structural properties of the Bond graph model are used not only for system dynamics simulation but also to design Fault Detection and Isolation (FDI) algorithms (i.e. the generation of formal fault indicators) for online supervision of faults affecting sensors, actuators, physico-chemical components and phenomena.

P J Gawthrop - One of the best experts on this subject based on the ideXlab platform.

  • Bond graph modelling and causal analysis of biomolecular systems
    2017
    Co-Authors: P J Gawthrop
    Abstract:

    Bond graph modelling of the biomolecular systems of living organisms is introduced. Molecular species are represented by non-linear C components and reactions by non-linear two-port R components. As living systems are neither at thermodynamic equilibrium nor closed, open and non-equilibrium systems are considered and illustrated using examples of biomolecular systems. Open systems are modelled using chemostats: chemical species with fixed concentration. In addition to their role in ensuring that models are energetically correct, Bond Graphs provide a powerful and natural way of representing and analysing causality. Causality is used in this chapter to examine the properties of the junction structures of biomolecular systems and how they relate to biomolecular concepts.

  • energy based analysis of biochemical cycles using Bond Graphs
    Proceedings of The Royal Society A: Mathematical Physical and Engineering Sciences, 2014
    Co-Authors: P J Gawthrop, Edmund J Crampin
    Abstract:

    Thermodynamic aspects of chemical reactions have a long history in the physical chemistry literature. In particular, biochemical cycles require a source of energy to function. However, although fundamental, the role of chemical potential and Gibb's free energy in the analysis of biochemical systems is often overlooked leading to models which are physically impossible. The Bond graph approach was developed for modelling engineering systems, where energy generation, storage and transmission are fundamental. The method focuses on how power flows between components and how energy is stored, transmitted or dissipated within components. Based on the early ideas of network thermodynamics, we have applied this approach to biochemical systems to generate models which automatically obey the laws of thermodynamics. We illustrate the method with examples of biochemical cycles. We have found that thermodynamically compliant models of simple biochemical cycles can easily be developed using this approach. In particular, both stoichiometric information and simulation models can be developed directly from the Bond graph. Furthermore, model reduction and approximation while retaining structural and thermodynamic properties is facilitated. Because the Bond graph approach is also modular and scaleable, we believe that it provides a secure foundation for building thermodynamically compliant models of large biochemical networks.

  • energy based analysis of biochemical cycles using Bond Graphs
    arXiv: Quantitative Methods, 2014
    Co-Authors: P J Gawthrop, Edmund J Crampin
    Abstract:

    Thermodynamic aspects of chemical reactions have a long history in the Physical Chemistry literature. In particular, biochemical cycles - the building-blocks of biochemical systems - require a source of energy to function. However, although fundamental, the role of chemical potential and Gibb's free energy in the analysis of biochemical systems is often overlooked leading to models which are physically impossible. The Bond graph approach was developed for modelling engineering systems where energy generation, storage and transmission are fundamental. The method focuses on how power flows between components and how energy is stored, transmitted or dissipated within components. Based on early ideas of network thermodynamics, we have applied this approach to biochemical systems to generate models which automatically obey the laws of thermodynamics. We illustrate the method with examples of biochemical cycles. We have found that thermodynamically compliant models of simple biochemical cycles can easily be developed using this approach. In particular, both stoichiometric information and simulation models can be developed directly from the Bond graph. Furthermore, model reduction and approximation while retaining structural and thermodynamic properties is facilitated. Because the Bond graph approach is also modular and scaleable, we believe that it provides a secure foundation for building thermodynamically compliant models of large biochemical networks.