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3rd International Conference on Intelligent Sustainable systems, ICISS 2020

作者： Abdulkareem Alawsi, Ahmed Abdulmahdi Jasim, Basil H Raafat, Safanah Mudheher University of Wasit College of Science Physics Dept. Iraq University of Basra Electrical Engineering Dept. Iraq University of Technology Control and System Engineering Dept. Iraq

ISBN: (纸本)9781728170893

Recently, delivery by quadcopter has become an increasingly popular application. Nevertheless, there are some problems and constraints. The Last Mile Problem (LMP), which involves several challenges, represents a serious problem and limitation to use the quadcopter in the delivery process. LMP which addresses several challenges is the main limitation in the delivery by quadrotor. This problem is exacerbated in densely populated cities, especially in residential complexes with multi levels buildings where there is no private and safe area for the customer to receive his parcels. To our knowledge, only partial solution has been addressed to solve this problem in literature. A new global smart box (GSB) is proposed in this paper to solve LMP. The GSBs can be networked with central controller via internet to manage them by multi simple delivery services offices distributed near from or inside trading complexes. The results got in this paper show that the GSB is reliable and solve most LMP sub problems like saving parcel, saving quadcopter, double maximum delivery distance, calculate best delivery paths, easy to perform optimal management algorithms, and decrease the cost of delivery. © 2020 IEEE.

关键词： Autonomous flight Delivery by Quadcopter Double delivery distance and Delivery cost by quadcopter Last Mile Problem

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Nonlinear output feedback control of underwater vehicle propellers using feedback form estimated axial flow velocity

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IEEE Journal of Oceanic engineering 2000年第2期25卷 241-255页

作者： Fossen, Thor I. Blanke, Mogens Dept. of Engineering Cybernetics Norwegian Univ. of Sci. and Technol. N-7491 Trondheim Norway Department of Automatic Control Aalborg University DK-9240 Aalborg Denmark

Accurate propeller shaft speed controllers can be designed by using nonlinear control theory and feedback from the axial water velocity in the propeller disc. In this paper, an output feedback controller is derived, reconstructing the axial flow velocity from vehicle speed measurements, using a three-state model of propeller shaft speed, forward (surge) speed of the vehicle, and the axial flow velocity. Lyapunov stability theory is used to prove that a nonlinear observer combined with an output feedback integral controller provide exponential stability. The output feedback controller compensates for variations in thrust due to time variations in advance speed. This is a major problem when applying conventional vehicle-propeller control systems. The proposed controller is simulated for an underwater vehicle equipped with a single propeller. The simulations demonstrate that the axial water velocity can be estimated with good accuracy. In addition, the output feedback integral controller shows superior performance and robustness compared to a conventional shaft speed controller.

关键词： Robotics

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Robust output feedback control synthesis: LMI approach 2

Robust output feedback control synthesis: LMI approach

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2nd IFAC Conference on control systems Design, CSD 2003

作者： Vesely, Vojtech Dept. of Automatic Control Systems Faculty of Electrical Engineering and Information Technology Slovak University of Technology Bratislava Slovakia

The paper addresses the problem of robust output feedback controller design with a guaranteed cost and parameter dependent Lyapunov function quadratic stability for linear continuous time polytopic systems. The proposed design methods lead to a non-iterative LMI based algorithm. Numerical example is given to illustrate the design procedure. © 2003 IFAC.

关键词： Iterative methods

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Optimization of HMM by the tabu search algorithm 14

Optimization of HMM by the tabu search algorithm

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14th Conference on Computational Linguistics and Speech Processing, ROCLING 2001

作者： Mei, Xiao-Dan Sun, Sheng-He Pan, Jeng-Shyang Chen, Tsong-Yi Dept. of Automatic Test Measurement and Control Harbin Institute of Technology China Dept. of Electronic Engineering National Kaohsiung University of Applied Sciences Taiwan

In this paper, the tabu search algorithm is employed to train Hidden Markov Model (HMM) to search out the optimal parameter structure of HMM for automatic speech recognition. The proposed TS-HMM training provided a mechanism that allows the searching process to escape from the local optimum and obtain a near global optimum. Experimental results show that the TS-HMM training has a higher probability to find the optimal model parameters than the traditional algorithms. © 2001 Proceedings of the 14th Conference on Computational Linguistics and Speech Processing, ROCLING 2001. All rights reserved.

关键词： Global optimum Hidden Markov Model Speech recognition Tabu search

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Modeling and optimization of a grade change for multistage polyethylene reactors

Modeling and optimization of a grade change for multistage p...

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作者： Larsson, Per-Ola Åkesson, Johan Haugwitz, Staffan Andersson, Niklas Dept. of Automatic Control Lund University Lund Sweden Borealis AB Stenungsund Sweden Dept. of Chemical Engineering Lund Unversity Lund Sweden

ISBN: (纸本)9783902661937

Grade changes in polyethylene reactors, i.e., changes of operating conditions, are performed on a regular basis to adapt to market demands. In this paper, a dynamic optimization procedure is presented built upon the Modelica language extended with Optimica constructs for formulation of optimization problems. A Modelica library for the Borstar ® multistage polyethylene reactors at Borealis AB, consisting of two slurry and one gas phase reactor, has been constructed. Using ***, a framework to translate dynamic optimization problems to NLP problems, optimal grade transitions between grades currently used at Borealis AB, can be calculated. Optimal inows and grade key variables are shown. © 2011 IFAC.

关键词： Optimization

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In-flight alignment of SDINS under large initial heading error

In-flight alignment of SDINS under large initial heading err...

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AIAA Guidance, Navigation, and control Conference and Exhibit 2001

作者： Hong, Hyun Su Lee, Jang Gyu Park, Chan Gook School of Electrical Engineering and Automatic Control Research Center Seoul National University Korea Republic of Dept. of Control and Instrumentation Engineering Kwangwoon University Korea Republic of

ISBN: (纸本)9781563479786

This paper presents a new in-flight alignment algorithm for an SDINS under large initial heading error. To handle large heading error a new attitude error model is introduced. The attitude errors are divided into heading error and leveling error using a newly defined horizontal frame. In this algorithm a Kalman filter with speed measurement is used. The simulation results show the heading error decreases very quickly from large value above 40deg to somewhat over lOdeg. © 2001 by Hyun Su Hong.

关键词： Errors

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Detection of Electric Motor Damage Through Analysis of Sound Signals Using Bayesian Neural Networks 50

Detection of Electric Motor Damage Through Analysis of Sound...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Bauer, Waldemar Zagórowska, Marta Baranowski, Jerzy Dept. of Automatic Control & Robotics AGH University of Krakow Krakow Poland Dept. of Engineering Cybernetics Norwegian University of Science and Technology Trondheim Norway

ISBN: (纸本)9781665464543

Fault monitoring and diagnostics are important to ensure reliability of electric motors. Efficient algorithms for fault detection improve reliability, yet development of cost-effective and reliable classifiers for diagnostics of equipment is challenging, in particular due to unavailability of well-balanced datasets, with signals from properly functioning equipment and those from faulty equipment. Thus, we propose to use a Bayesian neural network to detect and classify faults in electric motors, given its efficacy with imbalanced training data. The performance of the proposed network is demonstrated on real life signals, and a robustness analysis of the proposed solution is provided. © 2024 IEEE.

关键词： Damage detection

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A Method Based on Phase-shifting Carrier for Reducing DC-link Current Harmonics in Dual Three-phase PMSM Drive under Open-phase Conditions 6

A Method Based on Phase-shifting Carrier for Reducing DC-lin...

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2022 6th International Conference on Electrical, Mechanical and Computer engineering, ICEMCE 2022

作者： Wang, Qingzhe Du, Yanwei Yang, Guang Liu, Hongyang Computer & Electronic System Engineering Dept AVIC xi'An Flight Automatic Control Research Institute Shanxi Province Xi'an710076 China

The All-Electric of modern military equipment has become an important trend, in the field of aircraft the traditional servo control focus on the exact control of the motor. With the development of power electronics technology, a high-power motor has expanded into a multiphase kind which cast off the limitation of traditional three-phase motors. The multiphase motor has more control resources and fault-tolerant control ability under the fault condition, which has practical meaning for high safety and high-reliability applications in an airborne environment. The multiphase motor can be controlled by a series of phase-shift carriers, which can reduce DC current ripple more effectively than the traditional carrier-based pulse width modulation, but it needs to find the optimal phase shift angle. In this paper, the optimal carrier phase shift angle is analyzed mathematically which can be used for both under health and single open-phase fault of a dual three-phase motor, and the simulation result illustrates that the carrier phase shift method used in this paper has the DC current ripple optimization effect. © Published under licence by IOP Publishing Ltd.

关键词： Synchronous motors

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Evaluation of breast cancer risk by using fuzzy logic

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UPB Scientific Bulletin, Series C: Electrical engineering 2011年第1期73卷 53-64页

作者： BalanicǍ, Victor Dumitrache, Ioan Caramihai, Mihai Rae, William Herbst, Charles Dept. of Automatic Control and System Engineering University POLITEHNICA of Bucharest Romania Bloemfontein South Africa

The decision process for selecting the best-suited follow-up treatment for a suspected breast cancer case is strongly dependent upon the correct diagnosis and assessment of the breast cancer risk. Despite the latest technological developments, the methods and criteria used to quantify the characteristics of detected lesion, so as to define the developmental stage of the breast cancer, and thus to finally arrive at a reliable (most probable) risk estimate, are still subjective and poorly defined for many clinicians. The present paper introduces a set of fuzzy rules that can be used to process the relevant data from breast cancer cases in order to give a breast cancer risk prognosis which can be qualitatively compared to that of an expert.

关键词： Diseases

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On the integration of skilled robot motions for productivity in manufacturing

On the integration of skilled robot motions for productivity...

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IEEE International Symposium on Assembly and Manufacturing

作者： Bjorkelund, Anders Edstrom, Lisett Haage, Mathias Malec, Jacek Nilsson, Klas Nugues, Pierre Robertz, Sven Gestegard Storkle, Denis Blomdell, Anders Johansson, Rolf Linderoth, Magnus Nilsson, Anders Robertsson, Anders Stolt, Andreas Bruyninckx, Herman Dept. of Computer Science Lund University Sweden Dept of Automatic Control Lund University Sweden Dept. of Mechanical Engineering K.U. Leuven Belgium

ISBN: (纸本)9781612843438

Robots used in manufacturing today are tailored to their tasks by system integration based on expert knowledge concerning both production and machine control. For upcoming new generations of even more flexible robot solutions, in applications such as dexterous assembly, the robot setup and programming gets even more challenging. Reuse of solutions in terms of parameters, controls, process tuning, and of software modules in general then gets increasingly important. There has been valuable progress within reuse of automation solutions when machines comply with standards and behave according to nominal models. However, more flexible robots with sensor-based manipulation skills and cognitive functions for human interaction are far too complex to manage, and solutions are rarely reusable since knowledge is either implicit in imperative software or not captured in machine readable form. We propose techniques that build on existing knowledge by converting structured data into an RDF-based knowledge base. By enhancements of industrial control systems and available engineering tools, such knowledge can be gradually extended as part of the interaction during the definition of the robot task. © 2011 IEEE.

关键词： Manufacture

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