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检索条件"主题词=Control Algorithm"

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Modeling and Simulation Analysis of Active Magnetic Bearing 4

Modeling and Simulation Analysis of Active Magnetic Bearing

引用

4th International Conference on control, Automation and Robotics (ICCAR)

作者： Zeng, Li Dai, Min Zhu, Zhida Sun, Jin Zhang, Yuwei Yangzhou Univ Coll Mech Engn Yangzhou Jiangsu Peoples R China Shanghai Jiao Tong Univ China State Key Lab Mech Syst & Vibrat Shanghai Peoples R China

ISBN: (纸本)9781538663387

The working principle of the active asynchronous induction magnetic bearing is investigated in this paper. First, the mathematical model of radial force and torque for the magnetic bearing is established. Then, the corresponding control model of the system is proposed. Finally, the experimental simulation was carried out in in MATLAB / SIMULINK environment, and the experimental results showed that the system has good stability and high robustness.

关键词： active magnetic bearing control algorithm robustness

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Key Techniques for Multi-satellite Integrated Navigation System Modeling and controlling

Key Techniques for Multi-satellite Integrated Navigation Sys...

引用

2nd International Symposium on Systems and control in Aerospace and Astronautics

作者： Yu, Xiaolei Sun, Yongrong Liu, Jianye Wu, Ling Chen, Yuan Miao, Jianfeng Nanjing Univ Aeronaut & Astronaut Coll Automat Engn Nanjing 210016 Peoples R China

ISBN: (纸本)9781424439089

Multi-satellite integrated navigation system, the research focus navigation field both at home and abroad, is expected to improve the precision of positioning service and security of the information. The paper starts with an introduction of the basic concept of multi-satellite navigation system. It then follows a literature review covering mainly the current status of foreign and domestic research in this field. Subsequently, the key techniques of the GPS/GALILEO multi-satellite integrated navigation system have been explored, with the system of modeling method and control algorithm based on Kalman filtering technology as the research emphasis. Finally, the positioning errors of GPS, GALILEO and GPS/GALILEO systems are compared by the experiments along a typical route. Furthermore, the results show that the precision of navigation can be improved by way of multi-satellite integrated navigation because of more visible satellites and better space distribution structure. In particular, the modeling method and control algorithm for multi-satellite system presented in the paper will show the crucial significance in terms of improving accuracy in positioning applications.

关键词： Multi-satellite integrated navigation system System modeling Kalman filtering technology control algorithm Precision of navigation

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Design and Application of Digital Servo controller Module Based on DSP and CPLD

Design and Application of Digital Servo Controller Module Ba...

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7th World Congress on Intelligent control and Automation

作者： Ji, Wei Xu, Bo Zhao, Dean Jiangsu Univ Elect & Informat Engn Dept Zhenjiang Jiangsu Prov Peoples R China

ISBN: (纸本)9781424421138

A novel controller module based on DSP and CPLD is introduced according to the characteristic and requirement of servo control system. The hardware and software are discussed in detail. The high-speed DSP is acted as core for digital servo controller. The CPLD is adopted to achieve peripheral signal processing and control for logic and sequence. A function library is built according to C++ class structure and can be applied randomly. The experimental results show that the controller has the advantages of high reliability, opening structure, simple operation and can be applied with flexibility according to engineer requirement.

关键词： Servo control Digital signal processor (DSP) Complex programmable logical device(CPLD) control algorithm

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Q-Learning Applied To Soft-Kill Countermeasures For Unmanned Aerial Vehicles (UAVs)

Q-Learning Applied To Soft-Kill Countermeasures For Unmanned...

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IEEE/ION Position, Location and Navigation Symposium (PLANS)

作者： da Silva, Douglas L. Antreich, Felix Coutinho, Olympio L. Machado, Renato Aeronaut Inst Technol ITA Elect Warfare Lab LAB GE BR-12228900 Sao Jose Dos Campos SP Brazil

ISBN: (纸本)9781728102443

This work presents a three-dimensional control algorithm using reinforcement learning to guide an attacking hunter drone capable of performing a global navigation satellite systems (GNSS) repeater attack on the GNSS receiver of a target invader drone. Considering the mission and movement requirements of the hunter drone, a Q-learning algorithm was developed, for which the table with the possible transitions of the states and actions is obtained by the actions that the vehicle can take considering directions and the respective consequences of each action. The learning capability of the proposed algorithm arises from the trial and error by an agent. The penalty calculation is based on the error of the invader position to the hunter's desired position of the attacked drone. The developed algorithm is tested using a software-in-the-loop (SITL) implementation, which is based on the Ardupilot platform. SITL simulations are performed in a developed testbed to emulate operational scenarios, where an unmanned aerial vehicle (UAV) is hijacked and then controlled by an attacking UAV until it reaches the final position desired by the hunter, usually a secure area where the vehicle can be captured without being destroyed. Results, including error metrics and action time, are discussed for different mission scenarios.

关键词： control algorithm Reinforcement Learning Q-Learning Software-in-the-loop Ardupilot

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Station-keeping using Perception and Relative Image-based Navigation and Tracking (SPRINT) for UAS

Station-keeping using Perception and Relative Image-based Na...

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AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum)

作者： Boskovic, Jovan D. Diel, David Jackson, Joseph A. Sci Syst Co Inc Intelligent Controls 500 W Cummings PkSuite 3000 Woburn MA 01801 USA

ISBN: (数字)9781624106095

ISBN: (纸本)9781624106095

Under a recent DARPA project, SSCI performed initial design and testing of an innovative tightlycoupled vison and GNC system for follower vehicles to achieve safe approach and station-keeping with the lead vehicle within some range tolerance and inside a 60 degree cone, under leader maneuvers and vehicle capability constraints. The resulting system is referred to as the SPRINT (Station-keeping using Perception and Relative Image-based Navigation and Tracking), and is a fully autonomous system whose role is to safely and efficiently transition the follower vehicles from some known initial position to station- keeping, and to maintain the desired separation under lead vehicle maneuvers using vision only. The project specifically focuses on trade studies for performance analysis of the integrated system under different vision system properties and constraints, leader and follower vehicle capabilities, and characteristics of the proposed GNC algorithms under lead vehicle maneuvering. The trade studies included the effect of time delay, effect of target maneuvers, and the effect of camera parameters. Under the project, we have developed system architecture, requirements and metrics;vision-based algorithms for position and pose estimation;and guidance and control algorithms for safe approach and station keeping with the maneuvering leader. We also performed simulation analysis and testing at SSCI, demonstrating system-level feasibility of SPRINT to achieve project objectives. These accomplishments are described in the paper.

关键词： Guidance System control algorithm Autonomous Systems Formation Flying Image Processing Bank Angle Unmanned Aerial Vehicle Feedback Loop Flight Path Angle Aerial Refueling

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Rectifier Drives for Delivery of Geophysical Devices in Directional and Horizontal Wells

Rectifier Drives for Delivery of Geophysical Devices in Dire...

引用

International Ural Conference on Electrical Power Engineering (UralCon)

作者： Arzhanov, Kirill, V Arzhanov, Vladimir V. Trubnikov, Michail L. Tomsk State Univ Control Syst & Radioelect Tomsk Russia LLC ORION Tver Russia

ISBN: (纸本)9781728117430

The paper presents a set of equipment for delivering geophysical instruments to a given point developed for geophysical research and exploration in horizontal sections of openhole directional wells. The delivery device is a controlled electromechanical device delivered into the well via a cable together with geophysical instruments and providing movement along a horizontal section with a given speed to a predetermined position. An integral part of an electromechanical device is a modular object-oriented rectifier drive that provides high reliability and specified motion parameters. One of the most important requirements for delivery devices is the reliability of the system. To improve the reliability, it is proposed to use the system of hot backup of the main units, namely: valve engines of the DBM series operating on one shaft and two power transistor converters.

关键词： rectifier drive electric drive reservation reliability positioning control algorithm delivery mechanics

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Uncertainty Quantification in Wind Plant Energy Estimation

Uncertainty Quantification in Wind Plant Energy Estimation

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AIAA Science and Technology (SciTech) Forum and Exposition

作者： Craig, Anna E. Natl Renewable Energy Lab Golden CO 80401 USA

ISBN: (数字)9781624105784

ISBN: (纸本)9781624105784

Data characterizing a wind power plant's production are important for the validation, calibration, and refinement of the wake loss models used to simulate performance for preconstruction energy estimates. In this process, there is the potential for significant variation in the methods used by an analyst for, first, the preparation of the operational production data for comparison to model data and, second, the generation of analogous production data from simulations. In this work, the uncertainty introduced by these method variations is quantified by considering ensembles of analysis methods. Specifically, 1920 method variations were developed for preparing the operational data as a predictable production benchmark and simulations taking as input sample sets of the observed wind resource ranging in size from 4% to 125% of a full year were run using 3 engineering wake loss models in simulations run in the FLOw Redirection and Induction in Steady State software package. The benchmark and simulation input uncertainties place lower bounds on the precision of the calibration between the simulation model estimates and operational benchmark data. Even within subsets of method variations (representative of what might be seen within a single company), the uncertainty in the predictable expected production is estimated to be between1% and 3% of the median predictable expected production, while the uncertainty in the simulated expected production remains at best on the order of 2%. To put this into context, the simulated expected production is very closely related to the annual energy production metric commonly used to quantify a plant's predicted performance and a 3% error in the preconstruction annual energy production estimate can result in a $17 million loss due to additional financing costs for a typical 100-MW Texas plant.

关键词： Energy Generation Wind Power Plants Nacelles Cumulative Distribution Function control algorithm Support Vector Machine Turbulence Intensity Wind Shear National Aeronautics and Space Administration National Institute of Standards and Technology

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Intelligent controllers Design Based on Electronic Temperature controllers for Large Central Air-Conditioning Systems 36

Intelligent Controllers Design Based on Electronic Temperatu...

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第36届中国控制会议

作者： Long Meng Xingxuan Wang Department of Electronic Engineering Fudan University

ISBN: (纸本)9781538629185

To avoid some unnecessary energy waste of the central air-conditioning system automatically,a design of intelligent controllers and the related control algorithm are proposed to close fan coils at certain times of the *** many temperature controllers are not qualified with timing function,the timing function is added to temperature controllers by this method without replacing the original *** intelligent controller can check the on/off state of fan coil units at set *** some fan coil unit is found in "on" state at the set time,the fan coil unit will be shut *** conditioners will not be left "on" because of human negligence by setting the closed *** to the result of experimental tests,the design and control algorithm can meet requirements of daily use.

关键词： intelligent controller control algorithm large central air-conditioning systems fan coil temperature controller

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Lithium Ion Battery Thermal Management System Using Optimized Fuzzy controller

Lithium Ion Battery Thermal Management System Using Optimize...

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54th Annual Meeting of the IEEE-Industry-Applications-Society (IEEE IAS)

作者： Hannan, M. A. Young, Y. S. Hoque, M. M. Ker, P. J. Uddin, M. N. Univ Tenaga Nas Dept Elect Power Engn Kajang 43000 Selangor Malaysia Univ Chittagong Dept Elect & Elect Engn Chittagong 4331 Bangladesh Lakehead Univ Dept Elect Engn Thunder Bay ON Canada

ISBN: (纸本)9781538645390

Lithium ion battery is an important energy storage device especially, in electric vehicles due to its large capacity. However, heat generated from this battery during the high rate of charging and discharging process might lead to irreversible capacity loss and degrade the battery performance. This paper presents a thermal management system for a lithium ion battery to maintain a regulated thermal process in the battery pack. A robust control algorithm is proposed using particle swarm optimization (PSO) based fuzzy logic controller to the battery thermal management system. The system performance is evaluated by the overshoot, undershoot and settling time, and compared with the PID and simple fuzzy system to validate the results. From the performance results and comparisons, the proposed PSO based fuzzy system is able to yield the least overshoot of 0.497 % and settling time of 32 min 13 s during the heating subroutine, and undershoot of 0.975 % and settling time of 28 min 46 s during the cooling subroutine. Moreover, it is also capable of maintaining a uniform temperature among the battery modules in the pack. These results prove that the PSO based fuzzy system is a robust control system which enhances the performance of the lithium ion battery temperature regulating system efficiently.

关键词： particle swarm optimization control algorithm fuzzy controller heating and cooling system thermal management lithium ion battery

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Mechatronic Designed Hydraulic Positioning System

Mechatronic Designed Hydraulic Positioning System

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7th International Conference on Optimization of the Mechanical Engineering, Manufacturing Systems, Robotics and Aerospace (OPTIROB 2012)

作者： Avram, Mihai Duminica, Despina Gheorghe, Viorel Bucsan, Constantin Univ Politehn Bucuresti Dept Mech Engn & Mechatron Bucharest Romania

The paper presents the hardware structure of an original hydraulic positioning system based on a mechatronic approach. Dedicated control algorithms are also presented.

ISBN: (纸本)9783037854440

The paper presents the hardware structure of an original hydraulic positioning system based on a mechatronic approach. Dedicated control algorithms are also presented.

关键词： hydraulic positioning system software compensation control algorithm

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