scholarly journals Study on Load Parameters Estimation during AMT Startup

2018 ◽  
Vol 2018 ◽  
pp. 1-7
Author(s):  
Yunxia Li ◽  
Yufeng Lu ◽  
Huilai Sun ◽  
Peng Yan
Keyword(s):  
Least Squares Method ◽  
Identification Problem ◽  
Load Resistance ◽  
Parameters Estimation ◽  
Estimation Methods ◽  
Mechanical Transmission ◽  
Belt Conveyor ◽  
Soft Starter ◽  
Resistance Torque ◽  
Estimation Models

The identification problem of the load parameters is the basis of researching the clutch control strategy and the shift schedule for heavy-duty AMT (Automated Mechanical Transmission). AMT is proposed as the soft starter for the belt conveyor which expands AMT application areas. In order to accomplish the goal of AMT as the soft starter, the load parameters estimation methods including the load resistance torque and the load inertia are firstly studied to accommodate the actual control for AMT startup as the soft starter for belt conveyor. In the paper, the estimation models of the load resistance torque and the load inertia are established during AMT startup for belt conveyor. On the basis of the recursion least squares method, the on-line estimations for the load parameters are recognized according to the test data during AMT startup. The estimation results of these two parameters prove that the load parameters estimation models and the estimation methods during AMT startup are valid.

scholarly journals Application of Square Msplit Estimation in Determination of Vessel Position in Coastal Shipping

2017 ◽  
Vol 24 (2) ◽  
pp. 3-12 ◽  
Author(s):  
Marek Hubert Zienkiewicz ◽  
Krzysztof Czaplewski
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Functional Model ◽  
Parameters Estimation ◽  
Estimation Methods ◽  
Research Subject ◽  
Coastal Shipping ◽  
Maritime Navigation ◽  
M Estimation

AbstractThe main aim of this paper is to assess the possibility of using non-conventional geodetic estimation methods in maritime navigation. The research subject of this paper concerns robust determination of vessel’s position using a method of parameters estimation in the split functional model (Msplitestimation). The studies performed will help in finding out if and in which situations the application of Msplitestimation as the method for determining vessel’s position is beneficial from the perspective of navigation safety. The results obtained were compared with the results of traditional estimation methods, i.e. least squares method and robust M-estimation.

scholarly journals Research on Segmented Belt Acceleration Curve Based on Automated Mechanical Transmission

Processes ◽  
2022 ◽  
Vol 10 (1) ◽  
pp. 106
Author(s):  
Yunxia Li ◽  
Lei Li
Keyword(s):  
Simulation Model ◽  
System Modeling ◽  
Angular Acceleration ◽  
Mechanical Transmission ◽  
Belt Conveyor ◽  
Medium Scale ◽  
Soft Starter ◽  
Simulation Results ◽  
Belt Conveyors ◽  
Starting Process

An automated mechanical transmission (AMT) is proposed as a new soft starter for medium-scale belt conveyors in this paper. The AMT is used to start the belt conveyor and shift gears step by step to make the belt conveyor accelerate softly. Based on analyzing common soft-starting acceleration curves, a segmented belt acceleration curve is proposed as a new soft-starting acceleration curve. By analyzing the AMT soft-starting system, the system modeling is built and the AMT output shaft’s angular acceleration is proposed to be controlled to control the belt acceleration. The AMT soft-starting simulation model is established in the environment of AMESim, and simulation results of the soft-starting process from the first to eighth gear positions are given. The main parameter curves of the AMT soft-starting system including the belt, driving pulley, and AMT output shaft are analyzed. The simulation model can indicate the viscoelastic property of the belt. The simulation results prove that the segmented belt acceleration is appropriate for a medium-scale belt conveyor and provide a theoretical and reasonable basis for using an AMT as a soft starter.

scholarly journals Parameter Estimation of a Countershaft Brake for Heavy-Duty Vehicles with Automated Mechanical Transmission

Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 1036
Author(s):  
Yunxia Li ◽  
Lei Li
Keyword(s):  
Parameter Identification ◽  
Least Squares ◽  
Dynamic Model ◽  
Control Flow ◽  
Mechanical Transmission ◽  
Equivalent Resistance ◽  
Heavy Duty ◽  
Characteristic Parameters ◽  
Resistance Torque ◽  
Heavy Duty Vehicles

A countershaft brake is used as a transmission brake (TB) to realize synchronous shifting by reducing the automated mechanical transmission (AMT) input shaft’s speed rapidly. This process is performed to reduce shifting time and improve shifting quality for heavy-duty vehicles equipped with AMT without synchronizer. To improve controlled synchronous shifting, the AMT input shaft’s equivalent resistance torque and the TB’s characteristic parameters are studied. An AMT dynamic model under neutral gear position is analyzed during the synchronous control interval. A dynamic model of the countershaft brake is discussed, and its control flow is given. The parameter identification method of the AMT input shaft’s equivalent resistance torque is given on the basis of the least squares algorithm. The parameter identification of the TB’s characteristic parameters is proposed on the basis of the recursive least squares method (RLSM). Experimental results show that the recursive estimations of the TB’s characteristic parameters under different duty cycles of the TB solenoid valve, including brake torque estimation, estimation accuracy, and braking intensity estimation, can be effectively estimated. The research provides some reliable evidence to further study the synchronous shifting control schedule for heavy-duty vehicles with AMT.

Fuzzy C-Regression Models

2013 ◽  
Vol 278-280 ◽  
pp. 1323-1326
Author(s):  
Yan Hua Yu ◽  
Li Xia Song ◽  
Kun Lun Zhang
Keyword(s):  
Linear Regression ◽  
Least Squares ◽  
Linear Models ◽  
Least Squares Method ◽  
Least Square Method ◽  
Least Square ◽  
Estimation Methods ◽  
Statistical Regression ◽  
Fuzzy Linear Regression ◽  
Fuzzy Degree

Fuzzy linear regression has been extensively studied since its inception symbolized by the work of Tanaka et al. in 1982. As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extent, to the well known statistical regression analysis. In this article, a restricted least squares method is proposed to fit fuzzy linear models with crisp inputs and symmetric fuzzy output. The paper puts forward a kind of fuzzy linear regression model based on structured element, This model has precise input data and fuzzy output data, Gives the regression coefficient and the fuzzy degree function determination method by using the least square method, studies the imitation degree question between the observed value and the forecast value.

scholarly journals Accurate Model-Based Point of Gaze Estimation on Mobile Devices

Vision ◽  
2018 ◽  
Vol 2 (3) ◽  
pp. 35 ◽  
Author(s):  
Braiden Brousseau ◽  
Jonathan Rose ◽  
Moshe Eizenman
Keyword(s):  
Eye Tracking ◽  
Mobile Devices ◽  
Head Movements ◽  
Roll Angle ◽  
New Method ◽  
Estimation Methods ◽  
Infrared Light ◽  
Gaze Estimation ◽  
Tracking Systems ◽  
Estimation Models

The most accurate remote Point of Gaze (PoG) estimation methods that allow free head movements use infrared light sources and cameras together with gaze estimation models. Current gaze estimation models were developed for desktop eye-tracking systems and assume that the relative roll between the system and the subjects’ eyes (the ’R-Roll’) is roughly constant during use. This assumption is not true for hand-held mobile-device-based eye-tracking systems. We present an analysis that shows the accuracy of estimating the PoG on screens of hand-held mobile devices depends on the magnitude of the R-Roll angle and the angular offset between the visual and optical axes of the individual viewer. We also describe a new method to determine the PoG which compensates for the effects of R-Roll on the accuracy of the POG. Experimental results on a prototype infrared smartphone show that for an R-Roll angle of 90 ° , the new method achieves accuracy of approximately 1 ° , while a gaze estimation method that assumes that the R-Roll angle remains constant achieves an accuracy of 3.5 ° . The manner in which the experimental PoG estimation errors increase with the increase in the R-Roll angle was consistent with the analysis. The method presented in this paper can improve significantly the performance of eye-tracking systems on hand-held mobile-devices.

scholarly journals Implementation of strain-life fatigue parameters estimation methods in a web-based system

2011 ◽  
Vol 10 ◽  
pp. 2363-2368 ◽  
Author(s):  
Robert Basan ◽  
Marina Franulovic ◽  
Domagoj Rubeša ◽  
Ivan Prebil
Keyword(s):  
Parameters Estimation ◽  
Estimation Methods ◽  
Web Based ◽  
Web Based System

scholarly journals Efficient Parameters Estimation Methods for Radar Moving Targets Without Searching

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 41351-41361
Author(s):  
Xuepan Zhang ◽  
Chen Yang ◽  
Qingqing Lin ◽  
Xuejing Zhang
Keyword(s):  
Parameters Estimation ◽  
Estimation Methods ◽  
Moving Targets

Moving Force Identification for Multi-Span Bridges by Using Acceleration Measurements

2001 ◽  
Author(s):  
F. T. K. Au ◽  
R. J. Jiang ◽  
Y. K. Cheung
Keyword(s):  
Inverse Problem ◽  
Least Squares Method ◽  
Identification Problem ◽  
Singular Value ◽  
Robust Method ◽  
Force Identification ◽  
Beam Vibration ◽  
Moving Force ◽  
Value Decomposition ◽  
Pseudo Inverse

Abstract This paper reports some initial findings in the attempt to develop a robust method to identify more than one moving force on multi-span non-uniform continuous bridges. To keep the number of unknowns in the moving force identification problem to a minimum, the modified beam vibration functions are chosen as the assumed modes of a multi-span bridge. These modified beam vibration functions satisfy the zero deflection conditions at all the intermediate supports as well as the boundary conditions at the two ends of the bridge. The least squares method is used to solve the inverse problem to get the closest approximation to the moving forces. The pseudo-inverse to obtain the solution to the inverse problem is obtained by singular value decomposition. Only acceleration measurements are used for the moving force identification. The results show that this method is applicable and robust.

Simulation Research on Soft-Starting for AMT Driving Belt Conveyor

2014 ◽  
Vol 1006-1007 ◽  
pp. 253-258
Author(s):  
Yun Xia Li ◽  
Zeng Cai Wang
Keyword(s):  
Mechanical Transmission ◽  
Belt Conveyor ◽  
Allowable Limit ◽  
Simulation Research ◽  
Maximum Tension ◽  
Start Up ◽  
Simulation Results ◽  
The Moment ◽  
Short Time ◽  
Peak Value

Automated Mechanical Transmission (AMT) is applied as a new starting device for belt conveyor in the paper. Simulation model of AMT driving belt conveyor is established in AMESim. Simulations of start-up process at first gear condition and shifting process from first to eighth gear are discussed. Belt velocity is accepted as the law of gearshifts to judge the moment of shifting. Simulation results show that AMT could achieve the purpose of belt conveyor’s soft-starting gradually. The belt appears short-time acceleration mutations during shifting process which results in the belt maximum tension, the driving pulley torque, and other parameters changing within their allowable limits. The belt maximum tension appears short-time mutations when the clutch is just engaged, in which case the peak value of belt maximum tension can achieve 110 KN approximately, and is less than its allowable limit. After shift actions, the belt maximum tension and other parameters curves tend to be stable.

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