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10th IEEE International Conference on Power and Energy, PECon 2024

作者： Saini, Krishna Kumar Yadav, Chinmay Mathur, Hitesh Datt Gautam, Aditya R. Department of Electrical & Electronics Engineering Birla Institute of Technology & Science Pilani India

ISBN: (纸本)9798350361971

Solar photovoltaic (PV) microgrid (MG) systems are the future of the growing electrical industry. However, these systems have a dependency on the environment. To mitigate this dependency, better control and technologies are required. The digital twin (DT) technology can be utilized to make these MGs more sustainable and promising. In this paper, the DT of the installed MG has been developed on the Simulink platform. The irradiance data, and load power consumption data have been used as input for the DT of the MG. Moreover, it is found that the DT of the MG is working stably with the given data. On the output side, the grid power data of the physical MG has been compared with the output grid power of DT. Further, it has been found that the solar power generation, load power consumption data, and grid power data have matched the results of the physical MG. ©2024 IEEE.

关键词： control algorithm Digital twin Grid power Microgrid

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Real-time on-board estimation & optimal control of autonomous micro-satellite proximity operations 55

Real-time on-board estimation & optimal control of autonomou...

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55th AIAA Aerospace Sciences Meeting

作者： Thomas, Dylan J. Tetreault, Kristen Mott, Katherine Elliott, Ian Scheible, Robert Ohriner, Ethan Nastasi, Kevin M. Black, Jonathan T. Crofton Dept. of Aerospace & Ocean Engineering Virginia Tech BlacksburgVA24061 United States Department of Biomedical Engineering & Mechanics Virginia Tech BlacksburgVA24061 United States

ISBN: (数字)9781624104473

ISBN: (纸本)9781624104473

CubeSat technology has advanced considerably in recent years, particularly in areas that could greatly contribute to Rendezvous and Proximity Operations (RPO). Onboard, autonomous control algorithms for guidance and navigation, as well as high thrust propulsion subsystems and improved guidance/sensing technologies make 6U CubeSats very viable options for RPO missions. The presented research investigates the extent to which a 6U CubeSat can conduct RPO around a larger, non-cooperative Chief satellite using currently available CubeSat propulsion systems, real-time, onboard control algorithms, and realistic sensing technologies for relative orbit estimation. The study sought to build upon previously completed research at Virginia Tech with increased fidelity into the navigation analysis and the incorporation of relative orbit estimation. Once positioned at a desired location near the Chief, a 6U CubeSat can conduct the RPO mission for days, if not weeks, using the aforementioned technologies. The research strongly indicates that 6U CubeSats, using currently available systems, can be highly versatile options for RPO missions. © 2017 by Thomas, Tetreault, Mott, Elliott, Scheible, Ohriner, Nastasi, and Black.

关键词： Small Satellites Pontryagin's Maximum Principle control algorithm Propulsion System Orbital Elements Fuel Consumption Linear Programming Attitude Dynamics Quaternions Orbital Period

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Fuel optimization for constrained rotation of spacecraft formations

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JOURNAL OF GUIDANCE control AND DYNAMICS 2000年第2期23卷 339-346页

作者： Beard, RW McLain, TW Hadaegh, FY Brigham Young Univ Dept Elect & Comp Engn Provo UT 84602 USA Brigham Young Univ Dept Engn Mech Provo UT 84602 USA CALTECH Jet Propuls Lab Automat & Control Sect Pasadena CA 91101 USA

The problem of reorienting a constellation of spacecraft, such that the fuel distributed across the constellation is both conserved and expended uniformly, is considered. Results are derived for constellations with an arbitrary number of spacecraft, assuming that the constellation is in free space, that the spacecraft mass is time invariant, and that the thrusters can produce thrust in any direction. an open-loop control algorithm is derived by minimizing a cost function that trades off total fuel minimization and fuel equalization. The associated optimization problem is shown to be amenable to standard algorithms, simulation results using a four-spacecraft constellation are given.

关键词： Fuels Spacecraft Formation Constellations Open Loop control algorithm Optimization algorithm Nelder Mead algorithm Quaternions Satellite Constellations Fuel Starvation

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Optimal operation of hybrid power systems including renewable sources in the sugar cane industry

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IET RENEWABLE POWER GENERATION 2017年第8期11卷 1237-1245页

作者： Morato, Marcelo Menezes da Costa Mendes, Paulo Renato Normey-Rico, Julio Elias Bordons, Carlos Univ Fed Santa Catarina DAS Florianopolis SC Brazil Univ Seville Dept Ingn Sistemas & Automat Seville Spain

This study presents a control structure, based on model predictive control, applied to energy management optimisation in a sugar cane processing plant including renewable sources. The proposed energy plant is set upon a sugar cane processing industry and has to produce and maintain an amount of electric power throughout the year, defined by contract. This plant is, also, bound to produce flows of steam in different pressures, to comply to the demands of the production process of ethanol and sugar, from the sugar cane. The renewable sources in the system include photovoltaic, wind power generation and the use of biomass, from the remains of the sugar cane. The proposed control algorithm has the task of performing the management of which energy system to use (combined heat and power generation systems, boilers or others), maximise the use of renewable energy sources, maximise the gains of the boilers (that vary according to the biomass mixture used), manage the use of energy storages and supply the defined amount of energy. Simulation results show the satisfactory operation of the proposed control structure.

关键词： sugar industry hybrid power systems photovoltaic power systems wind power plants bioenergy conversion predictive control power generation control cogeneration boilers energy management systems optimisation energy storage optimal operation hybrid power systems sugar cane industry control structure model predictive control energy management optimisation sugar cane processing plant steam flows ethanol production process photovoltaic power generation wind power generation biomass control algorithm energy system management combined heat and power generation systems boilers renewable energy sources energy storages

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Simulation of a Soar-Based Autonomous Mission Management System for Unmanned Aircraft

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JOURNAL OF AEROSPACE INFORMATION SYSTEMS 2013年第2期10卷 53-70页

作者： Gunetti, Paolo Thompson, Haydn Dodd, Tony Univ Sheffield Automat Control & Syst Engn Dept Sheffield S1 3JD S Yorkshire England

State-of-the-art unmanned aerial vehicles are typically able to autonomously execute a preplanned mission. However, unmanned aerial vehicles usually fly in a very dynamic environment that requires dynamic changes to the flight plan;this mission management activity is usually tasked to human supervision. Through the use of a set of theoretical concepts that allow the description of a flight plan, a software system that autonomously accomplishes the mission management task for an unmanned aerial vehicle was developed. The system was implemented using a combination of Soar intelligent agents and traditional control techniques, and it is thoroughly described in the first part of the paper. An extensive testing campaign, based on the use of a realistic simulation environment, was performed on the system;the second part of this paper presents results obtained during this campaign. The system was demonstrated to be capable of automatically generating and executing an entire flight plan after being assigned a set of objectives. In conclusion, possible future developments are discussed, focusing in particular on prospective hardware implementation for the system.

关键词： Unmanned Aircraft Current Flight Plan Autopilot C++ Language Yaw Real Time Operating System Air Traffic control Fuel Consumption control algorithm Flight Trajectory

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Generalizability of Machine Learning algorithms for Modelling and control of Thermostatically controlled Loads

Generalizability of Machine Learning Algorithms for Modellin...

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作者： Attila Balint Universitat Politecnica de Catalunya (UPC)

学位级别：硕士

With the proliferation of variable energy sources, flexible energy loads will become more and more important to help stabilize the energy grid. Increasing electrification of heating systems means that the thermal inertia of buildings and hot water vessels can provide a widespread, low cost alternative to electrical storage for providing this energy flexibility. In this thesis, I demonstrate the modelling capabilities and generalizability of state of the art machine learning techniques on residential hot water systems, using data from multiple large scale real world case studies. I exhibit that an improved control algorithm with these models is capable to reduce the energy consumption of these hot water systems by up to 30%. I also use these models to quantify the effect of major factors influencing available energy flexibility of residential hot water systems. All the houses considered in the analysis feature the same type of hot water system which eliminates any differences in energy flexibility caused by device characteristics. A number of metrics are used from existing literature to quantify flexibility, and find that ambient conditions, control algo- rithm and occupant behaviour all play significant but very different roles. There are also some key differences in the way these factors influence energy demand and flexibility. The available capacity and recovery periods can differ by as much as two to four times for the same storage vessel, meaning that these differences have to be taken into account during operational planning with flexible loads. We conclude with a discussion on the implications of hot water system modelling and its generalizability, the variations in flexibility they can provide and the controllers that can be adopted to influence it in practice.

关键词： hot water systems residential buildings modelling energy flexibility oc-cupant behaviour heat pumps control algorithm

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Reduction of structural response to near fault earthquakes by seismic isolation columns and variable friction dampers

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Earthquake Engineering and Engineering Vibration 2010年第1期9卷 113-122页

作者： Y.Ribakov Department of Civil Engineering Ariel University Center of Samaria

This paper focuses on the investigation of a hybrid seismic isolation system with passive variable friction dampers for protection of structures against near fault earthquakes. The seismic isolation can be implemented by replacing the conventional columns fixed to the foundations by seismic isolating ones. These columns allow horizontal displacement between the superstructure and the foundations and decouple the building from the damaging earthquake motion. As a result, the forces in the structural elements decrease and damage that may be caused to the building by the earthquake significantly decreases. However, this positive effect is achieved on account of displacements occurring in the isolating columns. These displacements become very large when the structure is subjected to a strong earthquake. In this case, impact may occur between the parts of the isolating column yielding their damage or collapse. In order to limit the displacements in the isolating columns, it is proposed to add variable friction dampers. A method for selecting the dampers＇ properties is proposed. It is carried out using an artificial ground motion record and optimal active control algorithm. Numerical simulation of a sevenstory structure shows that the proposed method allows efficient reduction in structural response and limits the displacements at the seismic isolating columns.

关键词： seismic isolating columns variable friction dampers hybrid seismic isolation near fault earthquakes control algorithm

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Early adjusting damping force for sloped rolling-type seismic isolators based on earthquake early warning information

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EARTHQUAKES AND STRUCTURES 2021年第1期20卷 39-53页

作者： Hsu, Ting-Yu Huang, Chih-Hua Wang, Shiang-Jung Natl Taiwan Univ Sci & Technol Dept Civil & Construct Engn 43Sec 4Keelung Rd Taipei 106335 Taiwan

By means of installing sloped rolling-type seismic isolators (SRI), the horizontal acceleration transmitted to the to be-protected object above can be effectively and significantly reduced under external disturbance. To prevent the maximum horizontal displacement response of SRI from reaching a threshold, designing large and conservative damping force for SRI might be required, which will also enlarge the transmitted acceleration response. In a word, when adopting seismic isolation, minimizing acceleration or displacement responses is always a trade-off. Therefore, this paper proposes that by exploiting the possible information provided by an earthquake early warning system, the damping force applied to SRI which can better control both acceleration and displacement responses might be determined in advance and accordingly adjusted in a semi-active control manner. By using a large number of ground motion records with peak ground acceleration not less than 80 gal, the numerical results present that the maximum horizontal displacement response of SRI is highly correlated with and proportional to some important parameters of input excitations, the velocity pulse energy rate and peak velocity in particular. A control law employing the basic form of hyperbolic tangent function and two objective functions are considered in this study for conceptually developing suitable control algorithms. Compared with the numerical results of simply designing a constant, large damping factor to prevent SRI from pounding, adopting the recommended control algorithms can have more than 60% reduction of acceleration responses in average under the excitations. More importantly, it is effective in reducing acceleration responses under approximately 98% of the excitations.

关键词： sloped rolling-type seismic isolator earthquake early warning velocity pulse energy rate peak velocity control algorithm

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Optimization of Helicopter Rotor Using Polynomial and Neural Network Metamodels

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JOURNAL OF AIRCRAFT 2011年第2期48卷 553-566页

作者： Saijal, K. K. Ganguli, Ranjan Viswamurthy, S. R. Indian Inst Sci Dept Aerosp Engn Bangalore 560012 Karnataka India Natl Aerosp Labs Bangalore 560012 Karnataka India

This study aims to determine optimal locations of dual trailing-edge flaps and blade stiffness to achieve minimum hub vibration levels in a helicopter, with low penalty in terms of required trailing-edge flap control power. An aeroelastic analysis based on finite elements in space and time is used in conjunction with an optimal control algorithm to determine the flap time history for vibration minimization. Using the aeroelastic analysis, it is found that the objective functions are highly nonlinear and polynomial response surface approximations cannot describe the objectives adequately. A neural network is then used for approximating the objective functions for optimization. Pareto-optimal points minimizing both helicopter vibration and flap power ale obtained using the response surface and neural network metamodels. The two metamodels give useful improved designs resulting in about 27% reduction in hub vibration and about 45% reduction in flap power. However, the design obtained using response surface is less sensitive to small perturbations in the design variables.

关键词： Helicopter Blade Multilayer Perceptron Trailing Edge Flap Aeroelastic Stability control algorithm Kinetic Energy Rotor Blades Stiffness Matrices Active control Airframes

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Design and analysis of functional link artificial neural network controller for shunt compensation

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IET GENERATION TRANSMISSION & DISTRIBUTION 2019年第11期13卷 2280-2289页

作者： Arora, Ankita Singh, Alka Delhi Technol Univ Dept Elect Engn Bawana Rd Delhi 110042 India

Here, a new control algorithm based on functional link artificial neural network (FLANN) has been designed and studied for shunt compensation. FLANN controller is synonymous to extended trigonometric functional non-linear expansion and is trained online to achieve mitigation of different power quality (PQ) problems. Increased use of power electronics-based loads has contributed to harmonic pollution in power distribution systems and the PQ issues raised need to be effectively addressed. Several other PQ problems exist at the load end such as poor power factor, unregulated voltage, load unbalancing etc. and these can be effectively controlled using a shunt compensator. The designed FLANN controller is based on individual non-linear functional expansion of the input signal and it is updated online by the adaptive least mean square (LMS) corrective learning algorithm. The controller is designed to predict the weighted active component of load current to generate reference supply current for the grid. The algorithm converges fast and has good transient as well as steady-state response. Simulation as well as experimental results are shown for shunt compensator installed for the single-phase grid-connected system and the performance results are compared with some conventional algorithms usually utilised for compensation.

关键词： learning (artificial intelligence) power system harmonics power supply quality neurocontrollers neural nets power electronics power grids power factor power electronics-based loads power distribution systems PQ issues PQ problems load end poor power factor shunt compensator designed FLANN controller nonlinear functional expansion corrective learning algorithm different power quality problems nonlinear expansion control algorithm shunt compensation functional link artificial neural network controller

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