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2015 (1)

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Book
Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Optimal performance of the electric machine/drive system is mandatory to improve the energy consumption and reliability. To achieve this goal, mathematical models of the electric machine/drive system are necessary. Hence, this motivated the editors to instigate the Special Issue “Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine”, aiming to collect novel publications that push the state-of-the art towards optimal performance for the electric machine/drive system. Seventeen papers have been published in this Special Issue. The published papers focus on several aspects of the electric machine/drive system with respect to the mathematical modelling. Novel optimization methods, control approaches, and comparative analysis for electric drive system based on various electric machines were discussed in the published papers.

Keywords

Technology: general issues --- demagnetization --- electric machine --- flux reversal machine --- high-speed electrical machine --- high-speed electrical motor --- Nelder–Mead method --- optimal design --- switched reluctance motor --- direct instantaneous torque control --- numerical analysis --- optimization --- current angle --- design of electric motors --- flux-barriers --- synchronous reluctance motor --- torque ripple --- induction motor --- model predictive --- sensorless --- high performance --- switched reluctance machine --- NSGA-II optimization --- finite element analysis --- direct-drive --- electric machine analysis computing --- interior permanent magnet machine --- mathematical model --- optimal-design --- permanent magnet flux-switching machine --- wind generator --- doubly fed induction generator --- DC-link voltage regulation --- second-order sliding mode control --- extended state observer --- fuzzy gain scheduling --- advanced metaheuristics --- MO-Jaya optimization --- centrifugal pump --- energy efficiency --- parallel pumps --- throttling --- variable speed pump --- synchronous homopolar machine --- synchronous homopolar motor --- traction drives --- traction motor --- high-harmonic injection --- brushless field excitation --- wound field synchronous machines --- Axial flux permanent magnet machine --- 3D FEA --- Genetic algorithm --- hexagonal-shaped PMs --- PM overhang --- brushless topology --- third harmonic flux --- dc offset --- direct-on-line permanent magnet synchronous motor --- direct-on-line synchronous reluctance motor --- permanent magnet motor --- reactive power compensation --- carbon dioxide emissions --- climate change mitigation --- electric motors --- energy conversion --- energy efficiency class --- energy policy and regulation --- energy saving --- sustainable utilization of resources --- synchronous motor --- adaptive control --- MTPA control --- parameter variation --- constraints design --- mining dump truck --- traction drive --- demagnetization --- electric machine --- flux reversal machine --- high-speed electrical machine --- high-speed electrical motor --- Nelder–Mead method --- optimal design --- switched reluctance motor --- direct instantaneous torque control --- numerical analysis --- optimization --- current angle --- design of electric motors --- flux-barriers --- synchronous reluctance motor --- torque ripple --- induction motor --- model predictive --- sensorless --- high performance --- switched reluctance machine --- NSGA-II optimization --- finite element analysis --- direct-drive --- electric machine analysis computing --- interior permanent magnet machine --- mathematical model --- optimal-design --- permanent magnet flux-switching machine --- wind generator --- doubly fed induction generator --- DC-link voltage regulation --- second-order sliding mode control --- extended state observer --- fuzzy gain scheduling --- advanced metaheuristics --- MO-Jaya optimization --- centrifugal pump --- energy efficiency --- parallel pumps --- throttling --- variable speed pump --- synchronous homopolar machine --- synchronous homopolar motor --- traction drives --- traction motor --- high-harmonic injection --- brushless field excitation --- wound field synchronous machines --- Axial flux permanent magnet machine --- 3D FEA --- Genetic algorithm --- hexagonal-shaped PMs --- PM overhang --- brushless topology --- third harmonic flux --- dc offset --- direct-on-line permanent magnet synchronous motor --- direct-on-line synchronous reluctance motor --- permanent magnet motor --- reactive power compensation --- carbon dioxide emissions --- climate change mitigation --- electric motors --- energy conversion --- energy efficiency class --- energy policy and regulation --- energy saving --- sustainable utilization of resources --- synchronous motor --- adaptive control --- MTPA control --- parameter variation --- constraints design --- mining dump truck --- traction drive


Book
Auxiliary Signal Design for Failure Detection
Authors: ---
ISBN: 1680159283 1400880041 Year: 2015 Publisher: Princeton, NJ : Princeton University Press,

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Abstract

Many industries, such as transportation and manufacturing, use control systems to insure that parameters such as temperature or altitude behave in a desirable way over time. For example, pilots need assurance that the plane they are flying will maintain a particular heading. An integral part of control systems is a mechanism for failure detection to insure safety and reliability. This book offers an alternative failure detection approach that addresses two of the fundamental problems in the safe and efficient operation of modern control systems: failure detection--deciding when a failure has occurred--and model identification--deciding which kind of failure has occurred. Much of the work in both categories has been based on statistical methods and under the assumption that a given system was monitored passively. Campbell and Nikoukhah's book proposes an "active" multimodel approach. It calls for applying an auxiliary signal that will affect the output so that it can be used to easily determine if there has been a failure and what type of failure it is. This auxiliary signal must be kept small, and often brief in duration, in order not to interfere with system performance and to ensure timely detection of the failure. The approach is robust and uses tools from robust control theory. Unlike some approaches, it is applicable to complex systems. The authors present the theory in a rigorous and intuitive manner and provide practical algorithms for implementation of the procedures.

Keywords

System failures (Engineering) --- Fault location (Engineering) --- Signal processing. --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Location of system faults --- System fault location (Engineering) --- Dynamic testing --- Failure of engineering systems --- Reliability (Engineering) --- Systems engineering --- A priori estimate. --- AIXI. --- Abuse of notation. --- Accuracy and precision. --- Additive white Gaussian noise. --- Algorithm. --- Approximation. --- Asymptotic analysis. --- Bisection method. --- Boundary value problem. --- Calculation. --- Catastrophic failure. --- Combination. --- Computation. --- Condition number. --- Continuous function. --- Control theory. --- Control variable. --- Decision theory. --- Derivative. --- Detection. --- Deterministic system. --- Diagram (category theory). --- Differential equation. --- Discrete time and continuous time. --- Discretization. --- Dynamic programming. --- Engineering design process. --- Engineering. --- Equation. --- Error message. --- Estimation theory. --- Estimation. --- Finite difference. --- Gain scheduling. --- Inequality (mathematics). --- Initial condition. --- Integrator. --- Invertible matrix. --- Laplace transform. --- Least squares. --- Likelihood function. --- Likelihood-ratio test. --- Limit point. --- Linear programming. --- Linearization. --- Mathematical optimization. --- Mathematical problem. --- Maxima and minima. --- Measurement. --- Method of lines. --- Monotonic function. --- Noise power. --- Nonlinear control. --- Nonlinear programming. --- Norm (mathematics). --- Numerical analysis. --- Numerical control. --- Numerical integration. --- Observational error. --- Open problem. --- Optimal control. --- Optimization problem. --- Parameter. --- Partial differential equation. --- Piecewise. --- Pointwise. --- Prediction. --- Probability. --- Random variable. --- Realizability. --- Remedial action. --- Requirement. --- Rewriting. --- Riccati equation. --- Runge–Kutta methods. --- Sampled data systems. --- Sampling (signal processing). --- Scientific notation. --- Scilab. --- Shift operator. --- Signal (electrical engineering). --- Sine wave. --- Solver. --- Special case. --- Stochastic Modeling. --- Stochastic calculus. --- Stochastic interpretation. --- Stochastic process. --- Stochastic. --- Theorem. --- Time complexity. --- Time-invariant system. --- Trade-off. --- Transfer function. --- Transient response. --- Uncertainty. --- Utilization. --- Variable (mathematics). --- Variance.


Book
Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Optimal performance of the electric machine/drive system is mandatory to improve the energy consumption and reliability. To achieve this goal, mathematical models of the electric machine/drive system are necessary. Hence, this motivated the editors to instigate the Special Issue “Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine”, aiming to collect novel publications that push the state-of-the art towards optimal performance for the electric machine/drive system. Seventeen papers have been published in this Special Issue. The published papers focus on several aspects of the electric machine/drive system with respect to the mathematical modelling. Novel optimization methods, control approaches, and comparative analysis for electric drive system based on various electric machines were discussed in the published papers.

Keywords

Technology: general issues --- demagnetization --- electric machine --- flux reversal machine --- high-speed electrical machine --- high-speed electrical motor --- Nelder–Mead method --- optimal design --- switched reluctance motor --- direct instantaneous torque control --- numerical analysis --- optimization --- current angle --- design of electric motors --- flux-barriers --- synchronous reluctance motor --- torque ripple --- induction motor --- model predictive --- sensorless --- high performance --- switched reluctance machine --- NSGA-II optimization --- finite element analysis --- direct-drive --- electric machine analysis computing --- interior permanent magnet machine --- mathematical model --- optimal-design --- permanent magnet flux-switching machine --- wind generator --- doubly fed induction generator --- DC-link voltage regulation --- second-order sliding mode control --- extended state observer --- fuzzy gain scheduling --- advanced metaheuristics --- MO-Jaya optimization --- centrifugal pump --- energy efficiency --- parallel pumps --- throttling --- variable speed pump --- synchronous homopolar machine --- synchronous homopolar motor --- traction drives --- traction motor --- high-harmonic injection --- brushless field excitation --- wound field synchronous machines --- Axial flux permanent magnet machine --- 3D FEA --- Genetic algorithm --- hexagonal-shaped PMs --- PM overhang --- brushless topology --- third harmonic flux --- dc offset --- direct-on-line permanent magnet synchronous motor --- direct-on-line synchronous reluctance motor --- permanent magnet motor --- reactive power compensation --- carbon dioxide emissions --- climate change mitigation --- electric motors --- energy conversion --- energy efficiency class --- energy policy and regulation --- energy saving --- sustainable utilization of resources --- synchronous motor --- adaptive control --- MTPA control --- parameter variation --- constraints design --- mining dump truck --- traction drive


Book
Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Optimal performance of the electric machine/drive system is mandatory to improve the energy consumption and reliability. To achieve this goal, mathematical models of the electric machine/drive system are necessary. Hence, this motivated the editors to instigate the Special Issue “Mathematical Approaches to Modeling, Optimally Designing, and Controlling Electric Machine”, aiming to collect novel publications that push the state-of-the art towards optimal performance for the electric machine/drive system. Seventeen papers have been published in this Special Issue. The published papers focus on several aspects of the electric machine/drive system with respect to the mathematical modelling. Novel optimization methods, control approaches, and comparative analysis for electric drive system based on various electric machines were discussed in the published papers.

Keywords

demagnetization --- electric machine --- flux reversal machine --- high-speed electrical machine --- high-speed electrical motor --- Nelder–Mead method --- optimal design --- switched reluctance motor --- direct instantaneous torque control --- numerical analysis --- optimization --- current angle --- design of electric motors --- flux-barriers --- synchronous reluctance motor --- torque ripple --- induction motor --- model predictive --- sensorless --- high performance --- switched reluctance machine --- NSGA-II optimization --- finite element analysis --- direct-drive --- electric machine analysis computing --- interior permanent magnet machine --- mathematical model --- optimal-design --- permanent magnet flux-switching machine --- wind generator --- doubly fed induction generator --- DC-link voltage regulation --- second-order sliding mode control --- extended state observer --- fuzzy gain scheduling --- advanced metaheuristics --- MO-Jaya optimization --- centrifugal pump --- energy efficiency --- parallel pumps --- throttling --- variable speed pump --- synchronous homopolar machine --- synchronous homopolar motor --- traction drives --- traction motor --- high-harmonic injection --- brushless field excitation --- wound field synchronous machines --- Axial flux permanent magnet machine --- 3D FEA --- Genetic algorithm --- hexagonal-shaped PMs --- PM overhang --- brushless topology --- third harmonic flux --- dc offset --- direct-on-line permanent magnet synchronous motor --- direct-on-line synchronous reluctance motor --- permanent magnet motor --- reactive power compensation --- carbon dioxide emissions --- climate change mitigation --- electric motors --- energy conversion --- energy efficiency class --- energy policy and regulation --- energy saving --- sustainable utilization of resources --- synchronous motor --- adaptive control --- MTPA control --- parameter variation --- constraints design --- mining dump truck --- traction drive

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