A Model of the Dynamic Error as a Measurement Result of Instruments Defining the Parameters of Moving Objects

Metrology and Measurement Systems

et al. 2016

The paper presents a new method for building measuring instruments and systems for gyro-free determination of the parameters of moving objects. To illustrate the qualities of this method, a system for measuring the roll, pitch, heel and trim of a ship has been developed on its basis. The main concept of the method is based, on one hand, on a simplified design of the base coordinate system in the main measurement channel so as to reduce the instrumental errors, and, on the other hand, on an additional measurement channel operating in parallel with the main one and whose hardware and software platform makes possible performing algorithms intended to eliminate the dynamic error in real time. In this way, as well as by using suitable adaptive algorithms in the measurement procedures, low-cost measuring systems operating with high accuracy under conditions of inertial effects and whose parameters (intensity and frequency of the maximum in the spectrum) change within a wide range can be implemented.

Section: A Block Diagram Of the Measuring Methodsmentioning

confidence: 99%

“…The block diagram developed in [5] offers a new approach to modeling and examining the dynamic error. It is based on the mathematical model of the function of the dynamic error as an independent component having particular characteristics and participating in the formation of the measurement result.…”

Section: The Mathematical Model Of the Dynamic Errormentioning

confidence: 99%

А Меаsuring Method for Gyro-Free Determination of the Parameters of Moving Objects

Dichev¹,

Koev²,

Metrology and Measurement Systems

et al. 2016

“…This modeling concept can overcome the disadvantages of the existing measuring instruments as it is based, on one hand, on a very simplified mechanical module, and on the other hand, on the possibilities of modern measuring equipment in the area of dynamic measurements. In addition, it is based on successfully integrated processing algorithms [8,9,10] intended for eliminating the dynamic error [9,11].…”

Section: A Concept Of Modeling Measuring Instrumentsmentioning

confidence: 99%

A Gyro-Free System for Measuring the Parameters of Moving Objects

Dichev¹,

Koev²,

Measurement Science Review

et al. 2014

The present paper considers a new measurement concept of modeling measuring instruments for gyro-free determination of the parameters of moving objects. The proposed approach eliminates the disadvantages of the existing measuring instruments since it is based, on one hand, on a considerably simplified mechanical module, and on the other hand, on the advanced achievements in the area of nanotechnologies, microprocessor and computer equipment. A specific measuring system intended for measuring the trim, heel, roll, and pitch of a ship has been developed in compliance with the basic principles of this concept. The high dynamic accuracy of this measuring system is ensured by an additional measurement channel operating in parallel with the main channel. The operating principle of the additional measurement channel is based on an appropriate correction algorithm using signals from linear MEMS accelerometers. The presented results from the tests carried out by means of stand equipment in the form of a hexapod of six degrees of freedom prove the effectiveness of the proposed measurement concept.

“…and the proposed processing procedure of the measuring system, vector ) t ( x r is determined by the motion of the physical pendulum along the β coordinate, which actually defines the dynamic error in this measuring channel. Error β is explained in detail in [9,17,18]. By transforming equation (1) from a continuous time function into a discrete time function, the following expression is obtained for the forecast estimate [16] …”

Section: Structural Model Of the Algorithmmentioning

confidence: 99%

A Kalman Filter-Based Algorithm for Measuring the Parameters of Moving Objects

Dichev¹,

Koev²,

Measurement Science Review

et al. 2015

One of the most complex problems in measuring equipment is related to the provision of the required dynamic accuracy of measuring systems determining the parameters of moving objects. The present paper views an algorithm for improving the dynamic accuracy of such measuring systems. It is based on the Kalman method. The algorithm aims to eliminate the influence of a number of interference sources, each of which is of secondary significance. However, their total effect can cause considerable distortion of the measurement signal. The algorithm model is designed for gyro-free measuring systems. It is based on one of the most widely used elements in the dynamic systems, namely the physical pendulum, due to which measuring systems of high dynamic accuracy and low cost can be developed. The presented experimental results confirm the effectiveness of the proposed algorithm with respect to the dynamic accuracy of measuring systems of this type.