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First placed on the market in 1939, the design of PID controllers remains a challenging area that requires new approaches to solving PID tuning problems while capturing the effects of noise and process variations. The augmented complexity of modern applications concerning areas like automotive applications, microsystems technology, pneumatic mechanisms, dc motors, industry processes, require controllers that incorporate into their design important characteristics of the systems. These characteristics include but are not limited to: model uncertainties, system's nonlinearities, time delays, disturbance rejection requirements and performance criteria. The scope of this book is to propose different PID controllers designs for numerous modern technology applications in order to cover the needs of an audience including researchers, scholars and professionals who are interested in advances in PID controllers and related topics.
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Future European regulations imposing large decrease in CO2 emissions force the manufacturers of heavy-duty vehicles to implement innovative solutions to achieve these challenging targets. In this context, waste heat recovery systems represent a suitable solution to exploit thermal energy lost to the ambient by diesel engines. To this end, waste heat recovery by means of an Organic Rankine cycle (ORC) is considered as a promising technology. This thermodynamic bottoming cycle aims to recover thermal power in order to produce electricity on-board, that can be injected into mild-hybrid drivelines. Volvo Trucks is studying for many years this fuel-saving technology. In the scope of their current project in which this internship takes part, exhaust gases downstream the exhaust after treatment system are exploited as heat source. The heat sink is simply the ambient air, driven towards the condenser placed behind the cab by two fans. A piston expander is used to produce mechanical power, which is in turn converted into electricity to charge a 48V battery of a mild-hybrid truck. The modelling of an ORC is a major aspect of the system design methodology. Indeed, simulations are used in the early design phase to compare several system architectures and to select the most appropriated working fluid. At a later stage, the plant model can be exploited to design the controller of the ORC system. It is thus essential to develop a precise and efficient model integrating all the components of the Rankine cycle (heat exchangers, expander, pump, etc.) as well as an accurate procedure to compute working fluid properties. In this context, the present work aims to improve the ORC simulation tool developed by Volvo Trucks on Matlab-Simulink. At first, a new moving boundaries (MB) model of heat exchanger is developed to replace the previous one, based on a finite volumes (FV) approach. This new model is as accurate as the FV model, but it is computationally faster. This robust model takes the form of a Simulink library and is exploited to model the exhaust boiler as well as the air condenser in the complete Rankine system model. It is validated regarding both steady-state and transient simulations. Thanks to this new approach of heat exchanger modelling, the computational time required to perform simulations of the ORC during a road driving cycle is drastically reduced (-72%). Secondly, this master thesis is dedicated to the modelling of the lubricant added to the working fluid performing the Rankine cycle. This oil is needed in practice to ensure the lubrication of the piston expander, but its presence was neglected up to now in the Rankine simulation tool where pure working fluid properties are assumed. However, a brief literature review shows that it could have a significant impact on ORC performances. To this end, an empirical solubility model is exploited to compute thermodynamic properties of the mixture composed of working fluid (cyclopentane) and Polyalkylene Glycol (PAG) synthetic oil. In addition, all the components of the Rankine model are revised to take into account the presence of lubricant. This study concludes that the net ORC power is clearly impacted by the presence of lubricant. This decrease in net power depends on the exhaust conditions, the ambient air temperature and the oil circulation rate.
waste heat recovery --- organic Rankine cycle --- automotive --- modelling --- heat exchanger --- moving boundaries --- heat transfer --- PID controller --- lubricant --- solubility model --- Ingénierie, informatique & technologie > Ingénierie mécanique
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This thesis brings a complete redesign to the power supply of an X-Ray fluorescence (XRF) spectrometer. XRF is the phenomenon in which an atom absorbs an X-radiation with a certain energy level and release another X-radiation with another energy level. Indeed, if the excitation source has enough energy, ionization can occur in the material and the atoms become unstable. To restore equilibrium, electrons from higher orbitals can fall to fill the gap by releasing energy (in the form of a photon) equal to the difference between the 2 orbitals involved. In an energy-dispersive spectrometer (EDXRF), the number and the energy of the incoming X-rays are measured and then sorted. A complete spectrum of the target can be obtained, and the atomic composition of the target determined. The ALEXIS instrument is basically composed of 6 excitation sources, 1 detector and signal processing electronics. The excitation sources are pyroelectric crystals which are thermally cycled in order to have a continuous flux of X-Rays. The detector is a Silicon Drift Detector (SDD) which the actual state of art in EDXRF analysis. This technology needs to be cooled down by a Peltier element and must be polarized by a high negative voltage to drift the electron-hole pairs produced by the X-Rays impact to the collection electrode. The first part of the thesis is dedicated to the design of a controller for a current source driving the Peltier cooler. The goal is to obtain a stable cold temperature of the detector chip during the measurements. In space applications, due to radiations, analog electronics is preferred to digital. That is why an analog PID controller has been implemented based on the temperature feedback coming from the SDD. The finality of this part is a series of simulations to tune PID parameters. The second part of the work is the implementation of the thermal cycle of the sources. Two temperature thresholds determine if the source must be powered up or not and the 6 sources must work independently. In order to achieve this, an analog Schmitt trigger was designed on each source with a digitally controlled gain attenuator to control the output voltage. Final simulations give results very close to the real lab tests. The last part of the project described the method to design a DCM Flyback converter. The goal is to generate negative high voltage from the rover power supply (28V) in order to generate the drift electric field in the SDD. A spreadsheet was created. It automatically computes the circuit parameters according to the input/output requirements. The conclusion is open-loop simulations performed to show the influence of the parameters. Future closed-loop design is just discussed.
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PID controllers --- Régulateurs PID --- PID controllers. --- pid controller --- #TELE:SISTA --- Proportional Integral-Derivative controllers --- Proportional-plus-Integral-plus-Derivative controllers --- Automatic control --- Agrotechnology and Food Sciences. Information and Communication Technology --- Hardware --- Hardware. --- Régulateurs PID
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This book consists of nine papers covering a number of basic ideas, concepts, and methods of nonlinear analysis, as well as some current research problems. Thus, the reader is introduced to the fascinating theory around Brouwer's fixed point theorem, to Granas' theory of topological transversality, and to some advanced techniques of critical point theory and fixed point theory. Other topics include discontinuous differential equations, new results of metric fixed point theory, robust tracker design problems for various classes of nonlinear systems, and periodic solutions in computer virus propagation models.
Research & information: general --- Mathematics & science --- Krasnosel'skiĭ's fixed point theorem --- positive solutions --- discontinuous differential equations --- differential system --- p-Laplacian --- choquard equation --- nonhomogeneous --- nehari method --- minimax methods --- essential maps --- homotopy --- selections --- PID controller --- sliding mode control --- hybrid Taguchi real coded DNA algorithm --- perturbation estimator --- ℳ?-function --- ℳ?(λ)-function --- τ-function --- essential distance (e-distance) --- e0-metric --- Du-Hung's fixed point theorem --- Mizoguchi-Takahashi's fixed point theorem --- Nadler's fixed point theorem --- Banach contraction principle --- minimax --- multiplicity --- global minima --- Brouwer fixed point theorem --- Hamadard theorem --- Poincaré-miranda theorem --- nonlinear elliptic problem --- Robin boundary condition --- gradient dependence --- sub-supersolution --- positive solution --- periodic solutions --- SEIR-KS model --- computer virus model
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The transition to 100% renewable energy in the future is one of the most important ways of achieving "carbon peaking and carbon neutrality" and of reducing the adverse effects of climate change. In this process, the safe, stable and economical operation of renewable energy generation systems, represented by hydro-, wind and solar power, is particularly important, and has naturally become a key concern for researchers and engineers. Therefore, this book focuses on the fundamental and applied research on the modeling, control, monitoring and diagnosis of renewable energy generation systems, especially hydropower energy systems, and aims to provide some theoretical reference for researchers, power generation departments or government agencies.
Research & information: general --- Physics --- doubly-fed variable-speed pumped storage --- Hopf bifurcation --- stability analysis --- parameter sensitivity --- pumped storage unit --- degradation trend prediction --- maximal information coefficient --- light gradient boosting machine --- variational mode decomposition --- gated recurrent unit --- high proportional renewable power system --- active power --- change point detection --- maximum information coefficient --- cosine similarity --- anomaly detection --- thermal-hydraulic characteristics --- hydraulic oil viscosity --- hydraulic PTO --- wave energy converter --- pumped storage units --- pressure pulsation --- noise reduction --- sparrow search algorithm --- hybrid system --- facility agriculture --- chaotic particle swarms method --- operation strategy --- stochastic dynamic programming (SDP) --- power yield --- seasonal price --- reliability --- cascaded reservoirs --- doubly-fed variable speed pumped storage power station --- nonlinear modeling --- nonlinear pump turbine characteristics --- pumped storage units (PSUs) --- successive start-up --- ‘S’ characteristics --- low water head conditions --- multi-objective optimization --- fractional order PID controller (FOPID) --- hydropower units --- comprehensive deterioration index --- long and short-term neural network --- ensemble empirical mode decomposition --- approximate entropy --- 1D–3D coupling model --- transition stability --- sensitivity analysis --- hydro power
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This Special Issue summarizes, in a single reference, timely emerging topics related to power electronics for sustainable energy conversion. Furthermore, at the same time, it provides the reader with valuable information related to open research opportunity niches.
Technology: general issues --- History of engineering & technology --- Energy industries & utilities --- constant power load --- boost converter --- discontinuous conduction mode --- nonlinear control --- switched system --- fractional-order PID controller --- DC–DC converters --- Non-minimum phase systems --- experimental validation --- renewable energy sources --- dc-dc power electronic converters --- energy efficiency --- switching DC-DC converters --- quadratic converter --- PV systems --- fuel cell --- new equivalent electrical model of fuel cell --- PEMFC NEXA 1200 --- comparative study --- multilevel inverter --- power electronics --- staircase modulation --- vector modulation --- ultrawide bandgap --- semiconductors --- neutral point clamped --- inverter --- silicon --- gallium trioxide --- fabrication --- hybridization --- PV generation --- space vector modulation --- transformerless inverters --- grid connection --- leakage ground current --- wind turbine generator (WTG) --- permanent magnet synchronous generator (PMSG) --- low voltage ride-through (LVRT) --- silicon carbide (SiC)-based inverter --- core losses methods --- power losses --- ferromagnetic material --- inductors --- transformers --- n/a --- DC-DC converters
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This book consists of nine papers covering a number of basic ideas, concepts, and methods of nonlinear analysis, as well as some current research problems. Thus, the reader is introduced to the fascinating theory around Brouwer's fixed point theorem, to Granas' theory of topological transversality, and to some advanced techniques of critical point theory and fixed point theory. Other topics include discontinuous differential equations, new results of metric fixed point theory, robust tracker design problems for various classes of nonlinear systems, and periodic solutions in computer virus propagation models.
Research & information: general --- Mathematics & science --- Krasnosel’skiĭ’s fixed point theorem --- positive solutions --- discontinuous differential equations --- differential system --- p-Laplacian --- choquard equation --- nonhomogeneous --- nehari method --- minimax methods --- essential maps --- homotopy --- selections --- PID controller --- sliding mode control --- hybrid Taguchi real coded DNA algorithm --- perturbation estimator --- ℳ?-function --- ℳ?(λ)-function --- τ-function --- essential distance (e-distance) --- e0-metric --- Du-Hung’s fixed point theorem --- Mizoguchi-Takahashi’s fixed point theorem --- Nadler’s fixed point theorem --- Banach contraction principle --- minimax --- multiplicity --- global minima --- Brouwer fixed point theorem --- Hamadard theorem --- Poincaré–miranda theorem --- nonlinear elliptic problem --- Robin boundary condition --- gradient dependence --- sub-supersolution --- positive solution --- periodic solutions --- SEIR-KS model --- computer virus model --- n/a --- Krasnosel'skiĭ's fixed point theorem --- Du-Hung's fixed point theorem --- Mizoguchi-Takahashi's fixed point theorem --- Nadler's fixed point theorem --- Poincaré-miranda theorem
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This book reprints articles from the Special Issue "Industrial Applications: New Solutions for the New Age" published online in the open-access journal Machines (ISSN 2075-1702). This book consists of twelve published articles. This special edition belongs to the "Mechatronic and Intelligent Machines" section.
Technology: general issues --- History of engineering & technology --- induction machines --- electrical machines --- vector control --- SVPWM modulation --- frequency inverter --- artificial intelligence --- photovoltaics --- fault detection --- machine learning --- operation and maintenance --- renewable energy --- water-in-crude oil emulsion --- water content --- ultrasound --- propagation velocity --- exoskeletons --- test bench --- industry --- benchmarking --- microgrid model-based systems engineering --- service systems --- goal-oriented requirements engineering --- safety instrumented system --- ventricular assist device Bayesian network --- Petri net --- control strategy --- UAV --- fuzzy --- PID controller --- ROS --- Industry 4.0 --- database --- data models --- big data and analytics --- asset administration shell --- MLOps --- digital twin --- IoT --- prediction --- coordinate metrology --- optical scanning --- noise reduction --- digital manufacturing --- integrated inspection system --- data analytics --- uncertainty --- convolutional neural networks --- warehouse management --- image classification --- ensemble learning --- synthetic data --- depth image --- electrical maintenance --- COVID-19 --- thermography --- fever --- computer vision --- intelligent systems
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