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real-time implementation of Kalman filter for unsteady flow measurement in a pipe

International Journal of Hydromechatronics 2018年第1期1卷 3-15页

作者： Kazushi Sanada Faculty of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya Yokohama City Kanagawa Japan

A Kalman filter which estimates unsteady laminar flow in a pipe is implemented on a real-time computing system. The plant model is the optimised finite element model of pipeline dynamics considering unsteady laminar friction. A steady-state Kalman filter is built based on the model of pipeline dynamics. Pressure signals at both ends of a target section of a pipe are input to the model of pipeline dynamics, and as an output of the model an estimated pressure signal at a mid-point of the pipe is obtained. Difference between measured and estimated pressure signals at the mid-point is fed back to the model of pipeline dynamics to modify state variables of the model. According to the Kalman filter principle, the state variables of the model are adjusted so that they converge to real values. It is demonstrated that real-time implementation of the Kalman filter is possible with the sampling time of 0.1 ms.

关键词： flow measurement unsteady flow flow rate power Kalman filter optimised finite element model pipeline dynamics real-time implementation pipe hydromechatronics.

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Intelligent Autonomous-Robot Control for Medical Applications

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Computers, Materials & Continua 2021年第8期68卷 2189-2203页

作者： Rihem Farkh Haykel Marouani Khaled Al Jaloud Saad Alhuwaimel Mohammad Tabrez Quasim Yasser Fouad College of Engineering Muzahimiyah BranchKing Saud UniversityRiyadh11451Saudi Arabia Laboratory for Analysis Conception and Control of SystemsDepartment of Electrical EngineeringNational Engineering School of TunisTunis El Manar University1002Tunisia King Abdulaziz City for Science and Technology Riyadh12354Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia

The COVID-19 pandemic has shown that there is a lack of healthcare facilities to cope with a *** has also underscored the immediate need to rapidly develop hospitals capable of dealing with infectious patients and to rapidly change in supply lines to manufacture the prescription goods(including medicines)that is needed to prevent infection and treatment for infected *** COVID-19 has shown the utility of intelligent autonomous robots that assist human efforts to combat a *** artificial intelligence based on neural networks and deep learning can help to fight COVID-19 in many ways,particularly in the control of autonomous medic *** officials aim to curb the spread of COVID-19 among medical,nursing staff and patients by using intelligent *** propose an advanced controller for a service robot to be used in *** type of robot is deployed to deliver food and dispense medications to individual *** autonomous line-follower robot that can sense and follow a line drawn on the floor and drive through the rooms of patients with control of its *** criteria were met by using two controllers simultaneously:a deep neural network controller to predict the trajectory of movement and a proportional-integral-derivative(PID)controller for automatic steering and speed control.

关键词： Autonomous medic robots PID control neural network control system real-time implementation navigation environment differential drive system

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PARAMETER ESTIMATION METHODOLOGY FOR NONLINEAR SYSTEMS:APPLICATION TO INDUCTION MOTOR

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Journal of Systems Science and Systems Engineering 2005年第2期14卷 240-254页

作者： G.KENNE F.FLORET H.NKWAWO F.LAMNABHI-LAGARRIGUE Département de Genie Electrique IUT-FV BandjounUniversité de Dschang B.P.134 Bandjoun Cameroun L2TI Université Paris XIII99 Avenue Jean Baptiste Clément 93430 VilletaneuseFrance Département GEII Université Paris XIII 99 Avenue Jean Baptiste Clément 93430 Villetaneuse France L2S CNRS-SUPELECUniversité Paris XI3 Rue Joliot Curie 91192 Gif-sur-Yvette France

This paper deals with on-line state and parameter estimation of a reasonably large class of nonlinear continuous-time systems using a step-by-step sliding mode observer approach. The method proposed can also be used for adaptation to parameters that vary with time. The other interesting feature of the method is that it is easily implementable in real-time. The efficiency of this technique is demonstrated via the on-line estimation of the electrical parameters and rotor flux of an induction motor. This application is based on the standard model of the induction motor expressed in rotor coordinates with the stator current and voltage as well as the rotor speed assumed to be measurable. real-time implementation results are then reported and the ability of the algorithm to rapidly estimate the motor parameters is demonstrated. These results show the robustness of this approach with respect to measurement noise, discretization effects, parameter uncertainties and modeling inaccuracies. Comparisons between the results obtained and those of the classical recursive least square algorithm are also presented. The real-time implementation results show that the proposed algorithm gives better performance than the recursive least square method in terms of the convergence rate and the robustness with respect to measurement noise.

关键词： time-varying parameter estimation/identification sliding mode observer equivalent dynamic real-time implementation induction motor

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2kbps2.4kbps Low Complexity Interpolative Vocoder

2kbps2.4kbps Low Complexity Interpolative Vocoder

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1998 International Conference on Communication Technology

作者： Jiang Hao Cui huijuan Tang kun Electronic Engineering Tsinghua University

ISBN: (纸本)7800908275

In this paper a 2kbps .4kbps low complexity interpolative speech coding algorithm is *** speech coder takes the good ideal of Waveform Interpolation,but adopts a different framework to simplify the system *** pass analysis is made to estimate the random component in the speech excitation and used to estimate contour of the random prototype in the synthesis procedure. Synthesis algorithm both in the time domain and frequency domain are *** paper also presents some important techniques such as oneframe look ahead pitch smoothing algorithm and parameter *** speech coding scheme has been real-time implemented on a 200Hz personal computer.

关键词： vocoders speech coding interpolation quantisation (signal) computational complexity parameter estimation time-domain synthesis frequency-domain analysis speech synthesis linear predictive coding smoothing methods low complexity interpolative vocoder interpolative speech coding algorithm speech coder waveform interpolation system complexity band pass analysis random component estimation speech excitation random prototype contour estimation time domain synthesis algorithm frequency domain synthesis algorithm one-frame look ahead pitch smoothing algorithm parameter quantization personal computer real-time implementation LPC 2 to 2.4 kbit/s

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