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Literatura académica sobre el tema "Position Error"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 7 de febrero de 2022

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Artículos de revistas sobre el tema "Position Error"

TALLANT, JONATHAN. "An Error in Temporal Error Theory". Journal of the American Philosophical Association 4, n.º 1 (2018): 14–32. http://dx.doi.org/10.1017/apa.2018.5.

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AbstractWithin the philosophy of time there has been a growing interest in positions that deny the reality of time. Those positions, whether motivated by arguments from physics or metaphysics, have a shared conclusion: time is not real. What has not been made clear, however, is exactly what it entails to deny the reality of time. Time is unreal, sure. But what does that mean?There has (within the recent literature) been only one sustained attempt to spell out what it would mean to endorse a (so-called) temporal error theory, a theory that denies the reality of time: Baron and Miller's (2015) ‘What Is Temporal Error Theory?’ Despite the fact that their paper makes significant strides in spelling out what would be required, my claim in this paper is that their position must be rejected and replaced. In addition to rejecting Baron and Miller's position, I also offer that replacement.

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Chen, Dong Ju, Yong Zhang, Fei Hu Zhang y H. M. Wang. "Emulating and Modeling for Position Errors of Ultra-Precision Aspherical Grinding". Applied Mechanics and Materials 10-12 (diciembre de 2007): 291–96. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.291.

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In the process of the ultra-precision grinding, the machining path of the aspherical is the result of motor coordination by several axes for the numerical control system. Since the motion of each axis have errors, there are big errors between the real positions and the theoretical positions, and the position error of the wheel infects the accuracy of the workpiece greatly. This paper analyses the position error property of the wheel and finds the machining approach path has nothing to do with the position error, just do with to the present machining point. In order to solve the problem, the method using the Neural Network optimized by the Genetic Algorithm to establish the position error model is introduced. A three-layer error back propagation (simplified as BP) Neural Network is used to establish the position error model, the position coordinates (x, z) of the program instruction is input layer, and the corroding measured error value ( Δx , Δz ) is output layer. Before training data sample, using the Genetic Algorithm to optimize the Neural Network to improve the predicting accuracy of the Neural Network, and reduce the training time. The emulation results indicate that using the Neural Network model optimized by the Genetic Algorithm can predict the position error in a high degree of accuracy, and at the same time, according to the predicting results, compensating the position error of the wheel is possible.

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Zhang, Xiu Heng, Peng Ba y Li Mu. "Position Error Sensitivity Analysis for Polishing Robot". Advanced Materials Research 500 (abril de 2012): 326–30. http://dx.doi.org/10.4028/www.scientific.net/amr.500.326.

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t is the goal of this paper to describe an error analysis methodology for polishing robot on a manufacturing floor. With the generalized errors considered in the model, the end-effector position and orientation errors are calculated as a function of the generalized error. The analysis is to determine which physical errors significantly influence the end-effector error. The method and computer program have been applied to the performance evaluation of a robotic manipulator to be used in a polishing robot. This methodology can be applied to estimate calibration error and give the severity value to help the designer to select the polishing robot parameters.

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He, Ruibo, Xiwen Li, Tielin Shi, Bo Wu, Yingjun Zhao, Fenglin Han, Shunian Yang, Shuhong Huang y Shuzi Yang. "A kinematic calibration method based on the product of exponentials formula for serial robot using position measurements". Robotica 33, n.º 6 (1 de abril de 2014): 1295–313. http://dx.doi.org/10.1017/s026357471400071x.

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SUMMARYBased on product of exponentials (POE) formula, three explicit error models are given in this paper for kinematic calibration of serial robot through measuring its end-effector positions. To obtain these error models, the tool frame should be chosen as reference frame at first, and then each position–error-related segment in the error models using pose measurement should be selected. And during kinematic parameter identification, all the errors in joint twists are identifiable, and the initial transformation errors and the joint zero-position errors can be identified conditionally. Namely, the initial transformation errors are identifiable if they do not contain orientation errors. And the joint zero-position errors are identifiable when a robot only consists of prismatic joints and the coordinates of its joint twists are linearly independent.The effectiveness of this calibration method has been validated by simulations and experiments. The results show that: (1) the identification algorithms are robust and practical. (2) The method of position measurement is superior to that of pose measurement.

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Lee, Jae Hong, Hojin Ju y Chan Gook Park. "Error Analysis of PDR System Using Dual Foot-mounted IMU". E3S Web of Conferences 94 (2019): 02007. http://dx.doi.org/10.1051/e3sconf/20199402007.

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In this paper, we analyze the position errors of the pedestrian dead reckoning (PDR) system using foot-mounted IMU attached to each foot, and implement PDR system using dual foot-mounted IMU to reduce the analyzed error. The PDR system using foot-mounted IMU is generally based on an inertial navigation system (INS). To reduce bias and white noise errors, INS is combined with zero velocity update (ZUPT), which assumes that the pedestrian shoe velocity is zero at the stance phase. Although ZUPT could compensate the velocity and position, the heading drift still occurs. When analyzing the characteristics of the position error, the error shows a symmetrical characteristic. In order to reduce this error, the previous researches compensate for both positions by applying feet position constraints. The algorithm consists of applying a conventional PDR system to each foot and fusion algorithm combining both. The PDR system using foot-mounted IMU, one on each foot, is based on integration approach separately. The positions of both feet should be in a circle with a radius as step length during walking. The designed filter is constrained so that the position of both feet are in a circular boundary. The heading error that is symmetrically drifted is corrected by the position constraint when the pedestrian moves straight. Experimental results show the performance and usability of each previous algorithm to compensate for symmetric heading errors.

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Li, Chaohong, Hao Xian, Wenhan Jiang y Changhui Rao. "Wavefront error caused by centroid position random error". Journal of Modern Optics 55, n.º 1 (10 de enero de 2008): 127–33. http://dx.doi.org/10.1080/09500340701321990.

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Jiang, Yu, Na Li, Xuemei Gong, Guorui Jia y Huijie Zhao. "Improved Position Error Model for Airborne Hyperspectral Imaging Systems". International Journal of Pattern Recognition and Artificial Intelligence 33, n.º 05 (8 de abril de 2019): 1954017. http://dx.doi.org/10.1142/s021800141954017x.

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An improved position error model for airborne hyperspectral imaging systems is proposed to quantify the position errors caused by the deficiencies of instruments and the manual installation of integrated systems. The model is based on a thorough analysis of position error sources, which include uncertainties caused by camera position and altitude, interior camera parameters, gyro stabilized mount, position setting error of the global positioning system antenna, and boresight angle error. An improved position error model that describes these error sources is established based on collinear equations. This model is then expanded into the first-order Taylor series. Finally, the error propagation law is applied to estimate the position errors. The performance of the proposed method is evaluated based on real hyperspectral images of Hymap. Results show that the mean square error of the position error is better than 2.1 pixels, which is almost the same as that of ground truth.

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Pilbeam, Chloë y Victoria Hood-Moore. "Test–retest reliability of wrist joint position sense in healthy adults in a clinical setting". Hand Therapy 23, n.º 3 (18 de abril de 2018): 100–109. http://dx.doi.org/10.1177/1758998318770227.

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Introduction Proprioceptive assessments of the wrist inform clinical decision making. In wrist rehabilitation, joint position sense has emerged as one way of assessing conscious proprioception with varying methods and minimal psychometric analysis reported. The purpose of this study was to standardise the wrist joint position sense test method for clinical use and to determine its test–retest reliability in a healthy population. Methods Four wrist positions (20° and 45° flexion, 20° and 45° extension) were measured twice in a random order, by a single rater, using a universal goniometer on the same day. The absolute error in degrees between each position and reposition was calculated. For relative reliability analysis, the intraclass correlation coefficient (3,1) was calculated. For absolute reliability the standard error of the measurement was calculated and Bland–Altman plots visually inspected. Results Fifty-five healthy volunteers (mean age 31.1 SD±10.25 years) were assessed. The mean absolute error, summarised for all positions for test and retest, was 3.98°. The intraclass correlation coefficients were poor to fair (0.07–0.47), and standard error of the measurement was 2° (rounded) for all positions. The limits of agreement were fairly narrow, and the Bland–Altman plots showed random distribution of errors for each position, therefore the measurement error was clinically acceptable. Conclusions The active wrist joint position sense test using goniometry demonstrated poor to fair test–retest reliability and acceptable measurement error in healthy volunteers. The wrist joint position sense angle of 20° flexion was the most reliable.

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Ku, SungKwan, Hojong Baik y Taehyoung Kim. "Analysis of surveillance position error for airfield detection". Aircraft Engineering and Aerospace Technology 90, n.º 6 (3 de septiembre de 2018): 962–66. http://dx.doi.org/10.1108/aeat-09-2017-0207.

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Purpose The surveillance equipment is one of the most important parts for current air traffic control systems. It provides aircraft position and other relevant information including flight parameters. However, the existing surveillance equipment has certain position errors between true and detected positions. Operators must understand and account for the characteristics on magnitude and frequency of the position errors in the surveillance systems because these errors can influence the safety of aircraft operation. This study aims to develop the simulation model for analysis of these surveillance position errors to improve the safety of aircrafts in airports. Design/methodology/approach This study investigates the characterization of the position errors observed in airport surface detection equipment of an airport ground surveillance system and proposes a practical method to numerically reproduce the characteristics of the errors. Findings The proposed approach represents position errors more accurately than an alternative simple approach. This study also discusses the application of the computational results in a microscopic simulation modeling environment. Practical implications The surveillance error is analyzed from the radar trajectory data, and a random generator is configured to implement these data. These data are used in the air transportation simulation through an application programing interface, which can be applied to the aircraft trajectory data in the simulation. Subsequently, additionally built environment data are used in the actual simulation to obtain the results from the simulation engine. Originality/value The presented surveillance error analysis and simulation with its implementation plan are expected to be useful for air transportation safety simulations.

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Kim, Wonhee, Donghoon Shin y Youngwoo Lee. "Nonlinear Position Control Using Only Position Feedback under Position Errors and Yaw Constraints for Air Bearing Planar Motors". Mathematics 8, n.º 8 (13 de agosto de 2020): 1354. http://dx.doi.org/10.3390/math8081354.

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In this paper, we propose a nonlinear position control using only position feedback to guarantee the tolerances for position tracking errors and yaw. In the proposed method, both mechanical and electrical dynamics are considered. The proposed method consists of the nonlinear position controller and nonlinear observer. The nonlinear position controller is designed by a backstepping procedure using the barrier Lyapunov function to satisfy the constraints of position error and yaw. The nonlinear observer is developed to estimate full state using only position feedback. The stability of the closed-loop system is proven using Lyapunov and input-to-state stabilities. Consequently, the proposed method satisfies the constraints of position error and yaw using only position feedback for the planar motor.

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Tesis sobre el tema "Position Error"

Bergeron, André 1967. "Multiple-step gaze shifts reveal gaze position error in brainstem". Thesis, McGill University, 2003. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=82831.

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The superior colliculus (SC) is a structure that is implicated in the control of visual orienting behaviors. The SC contains a motor map which encodes saccade vectors topographically. Small saccades are encoded rostrally, larger ones caudally. More recently, it was shown that the rostral part of the SC contains a specialized "fixation zone". A group of cells located in the rostral SC have been called SC fixation neurons (SCFNs). SCFNs via projections to "omni-pause" neurons (OPNs) seem to play an important role during fixation behavior by holding gaze on target for a certain period of time through inhibition of the gaze saccade generator. By comparison, the caudal SC generates saccadic commands via its direct connections to the gaze saccade generator. When the head is unrestrained, large gaze shifts are generally made with the contribution of eye and head (gaze = eye-in-head + head-in-space). For a gaze shift executed in one step, gaze, eye, and head trajectories are very stereotyped; each part of the trajectory is correlated in time to another. Consequently, it is difficult to relate brainstem cells activity to a specific trajectory. A differentiation between the trajectories can be obtained by the use of multiple-step gaze-shifts that cats often use naturally. Multiple-step gaze shifts are gaze displacements that are composed of a variable number of gaze saccades separated by periods of steady fixation. The main goal of this thesis was to relate cell activity of both SC cells and OPNs with specific features of the multiple-step gaze shifts. The study of SC cells during multiple-step gaze shifts revealed that neither SCFNs nor cells on the SC motor map encode the complex motor sequence of steps and plateaus in multiple step gaze shifts. They are concerned with keeping track of the difference between current gaze position and the final intended gaze destination independently of how the gaze displacement is achieved. This finding challenges

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Temple, Thomas J. (Thomas John). "Autonomous error bounding of position estimates from GPS and Galileo". Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37884.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2006.
Includes bibliographical references (p. 79-81).
In safety-of-life applications of satellite-based navigation, such as the guided approach and landing of an aircraft, the most important question is whether the navigation error is tolerable. Although differentially corrected GPS is accurate enough for the task most of the time, anomalous measurement errors can create situations where the navigation error is intolerably large. Detection of such situations is referred to as integrity monitoring. Due to the non:stationary nature of the error sources, it is impossible to predetermine an adequate error-bound with the required confidence. Since the errors at the airplane can be different from the errors at reference stations, integrity can't be assured by ground monitoring. It is therefore necessary for the receiver on the airplane to autonomously assess the integrity of the position estimate in real-time. In the presence of multiple errors it is possible for a set of measurements to remain self-consistent despite containing errors. This is the primary reason why GPS has been unable to provide adequate integrity for aircraft approach. When the Galileo system become operational, there will be many more independent measurements. The more measurements that are available, the more unlikely it becomes that the errors happen to be self-consistent by chance. This thesis will quantify this relationship.
(CONT.) In particular, we determine the maximum level of navigation error at a given probability as a function of the redundancy and consistency of the measurements. Rather than approach this problem with statistical tests in mind, we approach this as a machine learning problem in which we empirically determine an optimal mapping from the measurements to an error bound. In so doing we will examine a broader class of tests than has been considered before. With a sufficiently large and demanding training data, this approach provides error-bounding functions that meet even the strictest integrity requirements of precision approaches. We determine the optimal error-bounding function and show that in a GPS + Galileo constellation, it can meet the requirements of Category I, II and III precision approach-a feat that has proven difficult for GPS alone. This function is shown to underestimate the level of error at a rate of less than 10-7 per snapshot regardless of the pseudorange error distribution. This corresponds to a rate of missed detection of less than 10-9 for all approach categorizations. At the same time, in a 54 satellite constellation, the level of availability for Category I precision approaches availability exceeds 99.999%. For Category II and III precision approaches, it can provide availability exceeding 99.9% with either a 60 satellite constellation, or with a modest improvement over existing LAAS corrections.
by Thomas J. Temple.
S.M.

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Kuratomi, Alejandro. "GNSS Position Error Estimated by Machine Learning Techniques with Environmental Information Input". Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262692.

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In Intelligent Transport Systems (ITS), specifically in autonomous driving operations, accurate vehicle localization is essential for safe operations. The localization accuracy depends on both position and positioning error estimates. Technologies aiming to improve positioning error estimation are required and are currently being researched. This project has investigated machine learning algorithms applied to positioning error estimation by assessing relevant information obtained from a GNSS receiver and adding environmental information coming from a camera mounted on a radio controlled vehicle testing platform. The research was done in two stages. The first stage consists of the machine learning algorithms training and testing on existing GNSS data coming from Waysure´s data base from tests ran in 2016, which did not consider the environment surrounding the GNSS receiver used during the tests. The second stage consists of the machine learning algorithms training and testing on GNSS data coming from new test runs carried on May 2019, which include the environment surrounding the GNSS receiver used. The results of both stages are compared. The relevant features are obtained as a result of the machine learning decision trees algorithm and are presented. This report concludes that there is no statistical evidence indicating that the tested environmental input from the camera could improve positioning error estimation accuracy with the built machine learning models.
Inom Intelligenta transportsystem (ITS), specifikt för självkörande fordon, så är en exakt fordonspositionering en nödvändighet för ökad trafiksäkerhet. Positionsnoggrannheten beror på estimering av både positionen samt positionsfelet. Olika tekniker och tillämpningar som siktar på att förbättra positionsfeluppskattningen behövs, vilket det nu forskas kring. Denna uppsats undersöker olika maskininlärningsalgoritmer inriktade på estimering av positionsfel. Algoritmerna utvärderar relevant information från en GNSS-mottagare, samt information från en kamera om den kringliggande miljön. En GNSS-mottagare och kamera monterades på en radiostyrd mobil testplattform för insamling av data. Examensarbetet består av två delar. Första delen innehåller träning och testning av valda maskininlärningsalgoritmer med GNSS-data tillhandahållen av Waysure från tester gjorda under 2016. Denna data inkluderar ingen information från den omkringliggande miljön runt GNSS-mottagaren. Andra delen består av träning och testning av valda maskininlärningsalgoritmer på GNSS-data som kommer från nya tester gjorda under maj 2019, vilka inkluderar miljöinformation runt GNSS-mottagaren. Resultaten från båda delar analyseras. De viktigaste egenskaper som erhålls från en trädbaserad modell, algoritmens beslutsträd, presenteras. Slutsatsen från denna rapport är att det inte går att statistiskt säkerställa att inkludering av information från den omkringliggande miljön från en kamera förbättrar noggrannheten vid estimering av positionsfelet med de valda maskininlärningsmodellerna.

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Chretien, Ludovic. "POSITION SENSORLESS CONTROL OF NON-SALIENT PERMANENT MAGNET SYNCHRONOUS MACHINE". University of Akron / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=akron1145286531.

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Ronquist, Anton y Birger Winroth. "Estimation and Compensation of Load-Dependent Position Error in a Hybrid Stepper Motor". Thesis, Linköpings universitet, Reglerteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-129554.

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Hybrid stepper motors are a common type of electric motor used throughout industry thanks to its low-cost, high torque at low speed and open loop positioning capabilities. However, a closed loop control is often required for industrial applications with high precision requirements. The closed loop control can also be used to lower the power consumption of the motor and ensure that stalls are avoided. It is quite common to utilise a large and costly position encoder or resolver to feedback the position signal to the control logic. This thesis has explored the possibility of using a low-cost position sensor based on Hall elements. Additionally, a sensorless estimation algorithm, using only stator winding measurements, has been investigated both as a competitive alternative and as a possible complement to the position sensor. The thesis work summarises and discusses previous research attempts to adequately measure or estimate and control the hybrid stepper motors position and load angle without using a typical encoder or resolver. Qualitative results have been produced through simulations prior to implementation and experimental testing. The readings from the position sensor is subject to noise, owing to its resolution and construction. The position signal has been successfully filtered, improving its accuracy from 0.56° to 0.25°. The output from the sensorless estimation algorithm is subject to non-linear errors caused by errors in phase voltage measurements and processing of velocity changes. However, the dynamics are reliable at constant speeds and could be used for position control.

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Kilic, Ergin. "Novel Position Measurement And Estimation Methods For Cnc Machine Systems". Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/2/12608762/index.pdf.

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Precision control of translational motion is vital for many CNC machine tools as the motion of the machinery affects the dimensional tolerance of the manufactured goods. However, the direct measurement along with the accurate motion control of machine usually requires relatively expensive sensors i.e. potentiometers, linear scales, laser interferometers. Hence, this study attempts to develop reference models utilizing low-cost sensors (i.e. rotary encoders) for accurate position estimation. First, an indirect measurement performance is investigated on a Timing Belt driven carriage by a DC Motor with a backlash included Gearbox head. An advanced interpolated technique is proposed to compensate the position errors while using indirect measurement to reduce the total cost. Then, a similar study was realized with a ball screw driven system. Next, a cable drum driven measurement technique is proposed to the machines which have long travel distance like plasma cutters. A test setup is proposed and manufactured to investigate the capstan drive systems. Finally, characteristics of Optical Mouse Sensors are investigated from different point of views and a test setup is proposed and manufactured to evaluate their performances in long terms. Beside all of these parts, motion control algorithms and motion control integrated circuits are designed and manufactured to realize experimental studies in a detailed manner.

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Eliasson, Mattias. "A Kalman filter approach to reduce position error for pedestrian applications in areas of bad GPS reception". Thesis, Umeå universitet, Institutionen för datavetenskap, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-92829.

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The number of GPS-enabled devices are growing rapidly. A large segment of the growth is coupled to the growth of smartphones. Some location-based applications are relatively simple, requiring only a rough position estimate. Other applications provide services where the usefulness of the application is directly connected to the accuracy of GPS positioning. Lifelogging, fitness, and navigation are some types of applications where precise location estimation greatly benefits the user. The GPS technology is available world wide and 24 hours per day. Its accuracy is not uniform, varying over time of day and place. Buildings can reflect or block the signal, the atmosphere delays it, satellite clock and orbit errors introduce bias. These are some of the error sources affecting GPS positioning. Many applications with need of high accuracy are used in everyday life. Users will eventually venture into areas unsuitable for GPS positioning. In these situations, these applications may not function sufficiently well. In this thesis, a data fusion method called the Kalman filter is evaluated as a means of improving the GPS positioning. A simple motion model is employed, tracking the position and velocity. The motion model utilizes sensors commonly available in a modern day smartphone. The Kalman filter will be evaluated through comparison to the raw data and a simple moving average filter. The results show that the Kalman filter is able to significantly reduce the variance compared to the raw data, but not significantly lower than the moving average filter.

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Sama, Michael P. "PRECISE EVALUATION OF GNSS POSITION AND LATENCY ERRORS IN DYNAMIC AGRICULTURAL APPLICATIONS". UKnowledge, 2013. http://uknowledge.uky.edu/bae_etds/14.

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A method for precisely synchronizing an external serial data stream to the pulse-per-second (PPS) output signal from a global navigation satellite-based system (GNSS) receiver was investigated. A signal timing device was designed that used a digital signal processor (DSP) with serial inputs and input captures to generate time stamps for asynchronous serial data based on an 58593.75 Hz internal timer. All temporal measurements were made directly in hardware to eliminate software latency. The resolution of the system was 17.1 µs, which translated to less than one millimeter of horizontal position error at travel speeds typical of most agricultural operations. The dynamic error of a TTS was determined using a rotary test fixture. Tests were performed at angular velocities ranging from 0 to 3.72 rad/s and a radius of 0.635 m. Average latency from the TTS was shown to be consistently near 0.252 s for all angular velocities and less variable when using a reflector based machine target versus a prism target. Sight distance from the target to the TTS was shown to have very little effect on accuracy between 4 and 30 m. The TTS was determined to be a limited as a position reference for dynamic GNSS and vehicle auto-guidance testing based on angular velocity. The dynamic error of a GNSS receiver was determined using the rotary test fixture and modeled as discrete probability density functions for varying angular velocities and filter levels. GNSS position and fixture data were recorded for angular velocities of 0.824, 1.423, 2.018, 2.618, and 3.222 rad/s at a 1 m radius. Filter levels were adjusted to four available settings including; no filter, normal filter, high filter, and max filter. Each data set contained 4 hours of continuous operation and was replicated three times. Results showed that higher angular velocities increased the variability of the distribution of error while not having a significant effect on average error. The distribution of error tended to change from normal distributions at lower angular velocities to uniform distributions at higher angular velocities. Internal filtering was shown to consistently increase dynamic error for all angular velocities.

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Suddapalli, Rajesh. "Aircraft position integrity for Differential Satellite-based Navigation in the presence of both bias and noise errors". Ohio University / OhioLINK, 2004. http://www.ohiolink.edu/etd/view.cgi?ohiou1108478721.

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MacCleery, Brian C. "Position Sensorless Implementation for a Linear Switched Reluctance Machine". Thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/33856.

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The development of an add-on sensorless position estimator for a 4.8 m Linear Switched Reluctance Machine (LSRM) with minimal modifications to the transducer-based controller is investigated for the first time in this study. LSRMs require position feedback for closed-loop control but present a low cost, high energy efficiency alternative for linear actuation due to their rugged construction and single-sided excitation. Mechanical position transducers mounted on the vehicle are expensive and can impact reliability. The use of a sensorless position estimator removes all electronics from the passive vehicle, resulting in considerable reductions in cost, maintenance, and mechanical complexity. This study examines the use of an add-on processor and data acquisition system for sensorless position estimation. An approach exploiting the active phase windings is used to preserve the normal operation of the transducer-based DSP controller with the goal of limiting reductions in high performance features such as force ripple reduction and velocity control [3]. The estimator system is retrofit to the transducer-based DSP controller by mimicking the output of a mechanical position sensor by emulating a Quadrature encoder. The feasibility and design issues for an add-on or retrofit position estimator are investigated. Although sensorless schemes for rotary Switched Reluctance Machines (SRMs) have been studied in detail, the problem of sensorless implementations for LSRMs has not been addressed. Experimental validation of the proposed sensorless estimation scheme is attempted, but closed-loop operation is not achieved successfully due to air gap fluctuations. In depth analysis of the sources and propagation of error is presented.
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Libros sobre el tema "Position Error"

Read, Robert R. A technique for assessing short baseline array tilt errors. Monterey, Calif: Naval Postgraduate School, 1991.

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Aitken, J. F. Static presssure position error calibration of the NAE T-33 C-FSKH. Ottawa: National Aeronautical Establishment, 1987.

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Georghiades, Costas N. On the synchronizability and detectability of random PPM sequences. [Washington, DC: National Aeronautics and Space Administration, 1987.

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Nagle, Frederick W. A description of prediction errors associated with the T-Bus-4 navigation message and a corrective procedure. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1986.

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Pietersen, O. B. M. Experiences with two GPS SPS receivers in northern Europe. Amsterdam: National Aerospace Laboratory, 1991.

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Bartram, Mark. Correction: [mistake management : a positive approach for language teachers]. Editado por Walton Richard y Lewis Michael. Hove: Language Teaching Publications, 1991.

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Bartram, Mark. Correction: Mistake management : a positive approach for language teachers. Hove: Language Teaching Publications, 1991.

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Kess, Reingard. Die positive Funktion von Fehlerereignissen: Über die Auffindung und Nutzbarmachung von Fehlerpotentialen. Frankfurt am Main: P. Lang, 2006.

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Muth, Lorant A. An iterative technique to correct probe position errors in planar near-field to far-field transformations. Boulder, CO: U.S. Dept. of Commerce, National Institute of Standards & Technology, 1988.

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Capítulos de libros sobre el tema "Position Error"

Hüllermeier, Eyke y Johannes Fürnkranz. "Learning Label Preferences: Ranking Error Versus Position Error". En Lecture Notes in Computer Science, 180–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11552253_17.

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Niculescu, Dragoş. "Error Characteristics of Ad Hoc Positioning Systems". En Handbook of Position Location, 871–97. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch26.

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Meier, Siegfried. "From the Point Position Error to the Quality Model". En Geodesy-The Challenge of the 3rd Millennium, 365–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05296-9_37.

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Xiao, Yongqiang, Hongli Wang, Lei Feng, Sihai You y Yiyang He. "Improved H∞ Filtering Method for Pulsar Position Error Estimation". En Advances in Intelligent Systems and Computing, 405–12. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5887-0_57.

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Pao, Y. C. y L. C. Chang. "Feedback Control of Robot End-Effector Probable Position Error". En CAD/CAM Robotics and Factories of the Future ’90, 1178–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-85838-3_157.

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Wang, Gaolin, Guoqiang Zhang y Dianguo Xu. "Position Estimation Error Ripple Elimination for Model-Based Method". En Position Sensorless Control Techniques for Permanent Magnet Synchronous Machine Drives, 147–202. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-0050-3_6.

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Pao, Y. C. y L. C. Chang. "Feedback Control of Robot End-Effector Probable Position Error". En CAD/CAM Robotics and Factories of the Future ’90, 594–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-58214-1_93.

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Geetha Priya, M. y D. C. Kiran Kumar. "Position Error Analysis of IRNSS Data Using Big Data Analytics". En Communications in Computer and Information Science, 201–9. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-9059-2_19.

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Chen, Shu Heng, Yao Yao Wang, Fan Quan Zeng, Deng Ming Zhang y Bing Song. "Analysis and Compensation of Angular Position Error in Servo Assembly". En Advances in Intelligent Systems and Computing, 39–44. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0238-5_4.

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Dam, H. H., Kok Lay Teo, Yanqun Liu y S. Nordebo. "Optimum Pole Position for Digital Laguerre Network with Least Square Error Criterion". En Optimization Methods and Applications, 321–30. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-3333-4_18.

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Actas de conferencias sobre el tema "Position Error"

Agostini, Valentina, Samanta Rosati, Gabriella Balestra, Marco Trucco, Lorenzo Visconti y Marco Knaflitz. "Estimation of joint position error". En 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2017. http://dx.doi.org/10.1109/embc.2017.8037358.

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Usami, Shogo. "Construction of Quantum Error Correcting Code for Specific Position Errors". En QUANTUM COMMUNICATION, MEASUREMENT AND COMPUTING. AIP, 2004. http://dx.doi.org/10.1063/1.1834413.

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Khanafseh, Samer, Steven Langel y Boris Pervan. "Overbounding position errors in the presence of carrier phase multipath error model uncertainty". En 2010 IEEE/ION Position, Location and Navigation Symposium - PLANS 2010. IEEE, 2010. http://dx.doi.org/10.1109/plans.2010.5507313.

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Xu, Xianwu, Xiaoli Zhou, Yongqiang Cheng y Yuliang Qin. "Radar coincidence imaging with array position error". En 2015 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC). IEEE, 2015. http://dx.doi.org/10.1109/icspcc.2015.7338780.

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Hao, Qun y Dacheng Li. "Large-scale form and position error measurement". En Photonics China '98, editado por Shenghua Ye. SPIE, 1998. http://dx.doi.org/10.1117/12.318386.

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Jia, Qingwei, Guoxiao Guo y Jie Yu. "Position-Error-Based Shock Protection in HDDs". En ASME 2013 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/isps2013-2911.

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This paper studies off-track write protection in HDDs. The system data integrity requirement is formulated based on the head/media and data track pitch configurations and a servo-mechanical system track misregistration (TMR) under various conditions. A write fault protection scheme is formulated based on position estimation through the current and predicted future PES (position error signal). The write fault trigger threshold determination and its impact on the system trade-offs are qualitatively discussed. The shock protection method applies to both conventional magnetic recording (CMR) and shingled magnetic recording (SMR).

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Jeon, Min-Ho y Chang-heon Oh. "Position Error Calibrated Using Screen Coordinate System". En Electrical Engineering 2013. Science & Engineering Research Support soCiety, 2013. http://dx.doi.org/10.14257/astl.2013.37.15.

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Chen, Yufei, Guangyue Lu, Pengwu Wan y Yuanyuan Yao. "Robust Rigid Body Localization Under Position Error". En 2021 6th International Conference on Intelligent Computing and Signal Processing (ICSP). IEEE, 2021. http://dx.doi.org/10.1109/icsp51882.2021.9408688.

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Jonas, M. "Detection of GNSS Horizontal Position Error Using 3D-Track Map". En 2013 Joint Rail Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/jrc2013-2445.

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The increasing progress in the field of satellite navigation systems (GNSS, SBAS) in the recent decades supports effort to use it for determination of train position for railway safety-related systems. Satellite-based augmentation systems (SBAS) such as WAAS in the USA, and EGNOS in Europe, are available and a new global satellite navigation system Galileo is being built by the European GNSS agency (GSA). The currently available SBAS systems were developed in order to satisfy aviation requirements. But the safety concept on railways is very different from the aviation safety concept. The railway safety concept in Europe is determined by means of the CENELEC standards (EN 50126, EN 50129, EN IEC 61508). So it is necessary to find a way how to use GNSS systems in accordance with strict railway standards. The main problem is attainment of sufficient integrity of position solution [5, 12]. Satisfaction of safety integrity level 4 (SIL4) is necessary for railways [6, 7, 8, 9]. At the beginning, it can provide low-cost controlling system for the local, regional and freight railway lines. GNSS provides a 3D position (position in horizontal and vertical plane). The value of altitude is cruical for application in aviation, in ground transportation this value is not so important. On the contrary, the value of horizontal position is cruical. For the purpose of increasing the integrity of GNSS-based position determination we propose a new method of the detection of a GNSS horizontal position error based on the relation between vertical and horizontal position error. As was mentioned for example in [4], as GPS is a three dimensional positioning system, errors between any two coordinates may be correlated, and so there can be relations between errors in individual dimensions. The general 3D GPS-based position solution can be divided into two parts: - 2D horizontal position - 1D vertical position We investigated the relation between errors in the horizontal and vertical plane in real data measured by a GNSS receiver. It was static measurement and the antenna location was exactly known. The vertical position provided by GNSS is not constant. In ground transportation we can mostly make an assumption of nearly a constant value of altitude during the ride. Especially in railway transportation the changing of altitude during the ride is limited by many factors (railway standards, properties of track) So we investigate the possibility of using values of altitude to estimate a position error in the horizontal plane. As the receiver determines the values of the vertical position in real time, the detection of the horizontal position error based on the values of altitude can help detect the actual position error in horizontal plane during the train ride also in real time. The sensitivity of this method to errors in pseudoranges (error caused by multipath) was also investigated. This was done by simulation with software receiver Pegasus (Eurocontrol). The analysis was based on real data from GNSS.

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Zhu, Guangdong. "The Impact of Receiver Position Error on Parabolic Trough Collector Optical Performance". En ASME 2012 6th International Conference on Energy Sustainability collocated with the ASME 2012 10th International Conference on Fuel Cell Science, Engineering and Technology. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/es2012-91067.

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A newly developed analytical optical approach — First-principle OPTical Intercept Calculation (FirstOPTIC) — is employed to study the optical impact of receiver position error on parabolic trough collectors. The FirstOPTIC program performs first-principle treatment system optical error sources. By analyzing a large number of cases with varying system parameters such as the overall system optical error and the collector geometrical parameters, the paper quantitatively examines the difference between the first-principle treatment and probability approximation to receiver position error. In addition, a practical correlation between actual measurement data and its probability approximation for receiver position errors is established from parametric study; the correlation can be used to evaluate the relative importance of receiver position error to the collector’s optical performance. The effective coefficients defining the correlation of receiver position errors are also summarized for some existing trough collectors and make it convenient to conduct error-convolution-based optical analysis, which was not straightforward before. It is also shown that FirstOPTIC is a suitable tool for in-depth optical analysis and fast collector design optimization, which otherwise requires computationally intensive ray-tracing simulations.

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Informes sobre el tema "Position Error"

Wang, Fuhua y Naifeng Mao. Beam line error analysis, position correction, and graphic processing. Office of Scientific and Technical Information (OSTI), noviembre de 1993. http://dx.doi.org/10.2172/10108573.

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Yee, Kenneth W. Alternative designs of a real-time error connector for machine-tools with encoder position feedback. Gaithersburg, MD: National Institute of Standards and Technology, 1992. http://dx.doi.org/10.6028/nist.ir.4832.

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Horst, John A. An application of measurement error propagation theory to two measurement systems used to calculate the position and heading of a vehicle on a flat surface. Gaithersburg, MD: National Institute of Standards and Technology, 1990. http://dx.doi.org/10.6028/nist.ir.4434.

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Parzen, G. Effects of Position Errors of the Magnetic Center in Dipoles. Office of Scientific and Technical Information (OSTI), enero de 1990. http://dx.doi.org/10.2172/1119106.

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Michnoff, Robert. Contributions to beam position measurement errors and a plan to provide measurements with sufficient accuracy. Office of Scientific and Technical Information (OSTI), octubre de 2017. http://dx.doi.org/10.2172/1471184.

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Baldwin, David P., Stanley J. Bajic, Max Morris y Daniel Zamzow. A Study of False-Positive and False-Negative Error Rates in Cartridge Case Comparisons. Fort Belvoir, VA: Defense Technical Information Center, abril de 2014. http://dx.doi.org/10.21236/ada611807.

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Muth, Lorant A. An iterative technique to correct probe position errors in planar near-field to far-field transformations. Gaithersburg, MD: National Bureau of Standards, 1988. http://dx.doi.org/10.6028/nist.tn.1323.

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Brodie, Katherine, Brittany Bruder, Richard Slocum y Nicholas Spore. Simultaneous mapping of coastal topography and bathymetry from a lightweight multicamera UAS. Engineer Research and Development Center (U.S.), agosto de 2021. http://dx.doi.org/10.21079/11681/41440.

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A low-cost multicamera Unmanned Aircraft System (UAS) is used to simultaneously estimate open-coast topography and bathymetry from a single longitudinal coastal flight. The UAS combines nadir and oblique imagery to create a wide field of view (FOV), which enables collection of mobile, long dwell timeseries of the littoral zone suitable for structure-from motion (SfM), and wave speed inversion algorithms. Resultant digital surface models (DSMs) compare well with terrestrial topographic lidar and bathymetric survey data at Duck, NC, USA, with root-mean-square error (RMSE)/bias of 0.26/–0.05 and 0.34/–0.05 m, respectively. Bathymetric data from another flight at Virginia Beach, VA, USA, demonstrates successful comparison (RMSE/bias of 0.17/0.06 m) in a secondary environment. UAS-derived engineering data products, total volume profiles and shoreline position, were congruent with those calculated from traditional topo-bathymetric surveys at Duck. Capturing both topography and bathymetry within a single flight, the presented multicamera system is more efficient than data acquisition with a single camera UAS; this advantage grows for longer stretches of coastline (10 km). Efficiency increases further with an on-board Global Navigation Satellite System–Inertial Navigation System (GNSS-INS) to eliminate ground control point (GCP) placement. The Appendix reprocesses the Virginia Beach flight with the GNSS–INS input and no GCPs.

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Kapelyushnyi, Anatolyi. TRANSFORMATION OF FORMS OF DEGREES OF COMPARISON OF ADJECTIVES IN LIVE TELEVISION BROADCASTING. Ivan Franko National University of Lviv, marzo de 2021. http://dx.doi.org/10.30970/vjo.2021.50.11105.

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The article analyzes transformation of forms of degrees of comparison of adjectives in live television broadcasting. Particular attention is paid to the specific properties of different forms of degrees of comparison of adjectives. To analyze the peculiarities of their use for errors in speech of television journalists, associated with non-compliance with linguistic norms on ways to avoid these errors, to make appropriate recommendations to television journalists. The main method we use is to observe the speech of live TV journalist, we used during the study methods of comparative analysis of comparison of theoretical positions from the work of individual linguists and journalism sat down as well as texts that sounded in the speech of journalists. Our objective is to trace these transformations and develop a certain attitude towards them in our researches of the language of the media and practicing journalists to support positive trends in the development of the broadcasting on TV and give recommendations for overcoming certain negative trends. Improving the live broadcasting of television journalists, in particular the work on deepening the language skills will contribute to the modernization of some trends in the reasonable expediency of the transformation of certain phenomena, modernization of some tendencies concerning the reasonable expedient transformation of separate grammatical phenomena and categories and at braking and in general stopping of processes of transformation of negative unreasonable not expedient. This fully applies primarily to attempts to transform the forms of degrees of comparison of adjectives and this explains importance of the results achieved in these study.

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Kaffenberger, Michelle y Lant Pritchett. Women’s Education May Be Even Better Than We Thought: Estimating the Gains from Education When Schooling Ain’t Learning. Research on Improving Systems of Education (RISE), septiembre de 2020. http://dx.doi.org/10.35489/bsg-rise-wp_2020/049.

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Women’s schooling has long been regarded as one of the best investments in development. Using two different cross-nationally comparable data sets which both contain measures of schooling, assessments of literacy, and life outcomes for more than 50 countries, we show the association of women’s education (defined as schooling and the acquisition of literacy) with four life outcomes (fertility, child mortality, empowerment, and financial practices) is much larger than the standard estimates of the gains from schooling alone. First, estimates of the association of outcomes with schooling alone cannot distinguish between the association of outcomes with schooling that actually produces increased learning and schooling that does not. Second, typical estimates do not address attenuation bias from measurement error. Using the new data on literacy to partially address these deficiencies, we find that the associations of women’s basic education (completing primary schooling and attaining literacy) with child mortality, fertility, women’s empowerment and the associations of men’s and women’s basic education with positive financial practices are three to five times larger than standard estimates. For instance, our country aggregated OLS estimate of the association of women’s empowerment with primary schooling versus no schooling is 0.15 of a standard deviation of the index, but the estimated association for women with primary schooling and literacy, using IV to correct for attenuation bias, is 0.68, 4.6 times bigger. Our findings raise two conceptual points. First, if the causal pathway through which schooling affects life outcomes is, even partially, through learning then estimates of the impact of schooling will underestimate the impact of education. Second, decisions about how to invest to improve life outcomes necessarily depend on estimates of the relative impacts and relative costs of schooling (e.g., grade completion) versus learning (e.g., literacy) on life outcomes. Our results do share the limitation of all previous observational results that the associations cannot be given causal interpretation and much more work will be needed to be able to make reliable claims about causal pathways.

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