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Design and Applications of Coordinate Measuring Machines

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ISBN: 9783038422761 9783038422778 Year: Pages: XII, 198 DOI: 10.3390/books978-3-03842-277-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering
Added to DOAB on : 2016-11-11 18:50:12
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Coordinate measuring machines (CMMs) have been conventionally used in industry for 3-dimensional and form-error measurements of macro parts for many years. Ever since the first CMM, developed by Ferranti Co. in the late 1950s, they have been regarded as versatile measuring equipment, yet many CMMs on the market still have inherent systematic errors due to the violation of the Abbe Principle in its design. Current CMMs are only suitable for part tolerance above 10 μm. With the rapid advent of ultraprecision technology, multi-axis machining, and micro/nanotechnology over the past twenty years, new types of ultraprecision and micro/nao-CMMs are urgently needed in all aspects of society.This Special Issue accepted papers revealing novel designs and applications of CMMs, including structures, probes, miniaturization, measuring paths, accuracy enhancement, error compensation, etc. Detailed design principles in sciences, and technological applications in high-tech industries, were required for submission.Topics covered, but were not limited to, the following areas:1.New types of CMMs, such as Abbe-free, multi-axis, cylindrical, parallel, etc.2.New types of probes, such as touch-trigger, scanning, hybrid, non-contact, microscopic, etc.3.New types of Micro/nano-CMMs.4.New types of measuring path strategy, such as collision avoidance, free-form surface, aspheric surface, etc.5.New types of error compensation strategy.

Permanent Magnet Synchronous Machines

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ISBN: 9783039213504 / 9783039213511 Year: Pages: 282 DOI: 10.3390/books978-3-03921-351-1 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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Interest in permanent magnet synchronous machines (PMSMs) is continuously increasing worldwide, especially with the increased use of renewable energy and the electrification of transports. This book contains the successful submissions of fifteen papers to a Special Issue of Energies on the subject area of “Permanent Magnet Synchronous Machines”. The focus is on permanent magnet synchronous machines and the electrical systems they are connected to. The presented work represents a wide range of areas. Studies of control systems, both for permanent magnet synchronous machines and for brushless DC motors, are presented and experimentally verified. Design studies of generators for wind power, wave power and hydro power are presented. Finite element method simulations and analytical design methods are used. The presented studies represent several of the different research fields on permanent magnet machines and electric drives.

Keywords

PMSM (permanent magnet synchronous motor) --- DB-DTFC (deadbeat-direct torque and flux control) --- torque control --- stability --- permanent-magnet machine --- brushless machine --- Vernier machine --- flux switching machine --- multiphase machine --- outer rotor --- electric vehicle --- interior permanent magnet synchronous machines --- magnetic reluctance network --- brushless dc motor --- phase-advanced method --- winding inductance --- sub-fractional slot-concentrated winding --- field weakening --- periodic timer interrupt --- Brushless DC motors --- current ripples --- current spikes --- modeling --- back electromotive force --- R-C filter --- cogging torque --- permanent magnet synchronous generator --- small wind turbines --- finite element method --- renewable energy --- energy conversion --- finite element analysis --- pulse width modulation --- permanent magnet synchronous generator --- wind generator --- MPC --- PMSM --- vector control --- speed tracking --- brushless DC (BLDC) motor --- sensorless motor --- commutation error compensation --- free-wheeling period --- permanent magnet synchronous motor (PMSM) --- sliding mode observer (SMO) --- parameter perturbation --- predictive current control (PCC) --- digital simulation --- motor drives --- interior permanent-magnet machines --- finite-element analysis --- modeling --- automotive applications --- electric vehicle (EV) --- hybrid electric vehicle (HEV) --- mathematical model --- saturation --- coils --- design tools --- energy efficiency --- linear generator --- power control --- stator --- wave power --- permanent magnet synchronous generator --- electrical machine design --- permanent magnet material --- bulk electric system --- condition monitoring --- electrical signature analysis --- fault diagnosis --- predictive maintenance --- synchronous generator --- permanent magnet synchronous machine (PMSM) --- flying start --- sensorless control --- permanent magnet synchronous generator --- permanent magnet synchronous motor --- electric propulsion systems --- renewable energy --- energy conversion

Intelligent Control in Energy Systems

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ISBN: 9783039214150 / 9783039214167 Year: Pages: 508 DOI: 10.3390/books978-3-03921-416-7 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General)
Added to DOAB on : 2019-12-09 11:49:15
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The editors of this Special Issue titled “Intelligent Control in Energy Systems” have attempted to create a book containing original technical articles addressing various elements of intelligent control in energy systems. In response to our call for papers, we received 60 submissions. Of those submissions, 27 were published and 33 were rejected. In this book, we offer the 27 accepted technical articles as well as one editorial. Authors from 15 countries (China, Netherlands, Spain, Tunisia, United Sates of America, Korea, Brazil, Egypt, Denmark, Indonesia, Oman, Canada, Algeria, Mexico, and the Czech Republic) elaborate on several aspects of intelligent control in energy systems. The book covers a broad range of topics including fuzzy PID in automotive fuel cell and MPPT tracking, neural networks for fuel cell control and dynamic optimization of energy management, adaptive control on power systems, hierarchical Petri Nets in microgrid management, model predictive control for electric vehicle battery and frequency regulation in HVAC systems, deep learning for power consumption forecasting, decision trees for wind systems, risk analysis for demand side management, finite state automata for HVAC control, robust ?-synthesis for microgrids, and neuro-fuzzy systems in energy storage.

Keywords

lithium-ion battery pack --- soft internal short circuit --- model-based fault detection --- battery safety --- internal short circuit resistance --- load frequency control --- model uncertainty --- ?-synthesis --- differential evolution --- decision tree --- preventive control --- Fault Ride Through Capability --- doubly-fed induction generator --- ancillary service --- frequency regulation --- demand response --- commercial/residential buildings --- HVAC systems --- model predictive control --- rule-based control --- position control --- static friction --- exhaust gas recirculation (EGR) valve system --- automotive application --- hybrid electric vehicle --- compound structured permanent-magnet motor --- energy management strategy --- instantaneous optimization minimum power loss --- back propagation (BP) neural network --- power transformer winding --- vibration characteristics --- multiphysical field analysis --- short-circuit experiment --- winding-fault characteristics --- occupancy model --- occupancy-based control --- model predictive control --- energy efficiency --- building climate control --- solar monitoring system --- photovoltaic array --- energy management --- demand side management --- operation limit violations --- probabilistic power flow --- network sensitivity --- neural networks --- railway --- high-speed railway --- neutral section --- medium voltage --- thyristor --- AC static switch --- adaptive backstepping --- nonlinear power systems --- sliding mode control --- error compensation --- ?-class function --- energy internet --- multi-energy complementary --- integrated energy systems --- distribution network planning --- electric power consumption --- multi-step forecasting --- long short term memory --- convolutional neural network --- system identification --- parameter estimation --- system modelling --- model reduction --- polynomial expansion --- orthogonal least square --- industrial process --- electric vehicle --- battery packs --- active balance --- model predictive control --- hierarchical Petri nets --- urban microgrids --- phase-load balancing --- fuzzy logic controller --- MPPT: maximum power point tracking --- photovoltaic system --- step-up boost converter --- proton exchange membrane fuel cell --- four phases interleaved boost converter --- neural network controller --- AC-DC converters --- bridgeless SEPIC PFC converter --- repetitive controller --- current distortion --- current controller design --- stochastic power system operating point drift --- wind integrated power system --- power oscillations --- adaptive damping control --- continuous voltage control --- multiple-point control --- interaction minimization --- pilot point --- adjacent areas --- ANFIS --- artificial neural network --- fuzzy --- small scale compressed air energy storage (SS-CAES) --- voltage controlling --- electric meter --- error estimation --- line loss --- RLS --- double forgetting factors --- hybrid power plant --- control architecture --- coordination of reserves --- frequency support --- frequency control dead band --- fast frequency response --- frequency containment reserve --- line switching --- voltage violations --- three-stage --- fractional order fuzzy PID controller --- neural network algorithm --- PEM fuel cell --- MPPT operation --- sensitivity analysis --- intelligent control --- artificial intelligence --- energy management system --- smart micro-grid --- energy systems --- intelligent buildings --- forecasting --- multi-agent control --- optimization

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