Application of Analogue Derivators for Obtaining Direct Non-Measurable Components of the State Vector in Crane Control-Reference-Cited by-同舟云学术

Application of Analogue Derivators for Obtaining Direct Non-Measurable Components of the State Vector in Crane Control

Published:2019-12-01 Issue:4 Volume:69 Page:33-44
ISSN:2450-5471
Container-title:Strojnícky časopis - Journal of Mechanical Engineering
language:en
Short-container-title:

Author:

Patrik Grosinger¹,Peter Šolek¹

Affiliation:

1. Slovak University of Technology in Bratislava , Faculty of Mechanical Engineering, Institute of Applied Mechanics and Mechatronics , Nám. Slobody 17, 812 31 Bratislava , Slovakia

Abstract

Abstract This paper presents a simple-to-use system for estimating non-measurable components of crane state vector considering parameter changes. To obtain them, it is possible to use a numerical derivative, where the measurement noise causes great inaccuracies, or the Luenberger observer and Kalman filter, which require knowledge of the dynamics of the controlled system, which is constantly changing with the crane.

Publisher

Walter de Gruyter GmbH

Subject

Mechanical Engineering

Link

https://www.sciendo.com/pdf/10.2478/scjme-2019-0041

Reference22 articles.

1. [1] Hyla, P. “The Crane Control Systems: A Survey”, In: 17th International Conference on Methods and Models in Automation and Robotics, Miedzyzdroje, Poland, pp. 505 – 509, 2012.10.1109/MMAR.2012.6347867

2. [2] Smoczek, J., Szpytko, J. “Evolutionary algorithm-based design of a fuzzy TBF predictive model and TSK fuzzy anti-sway crane control system”, Engineering Applications of Artificial Intelligence 28, pp. 190 – 200, 2014. DOI: 10.1016/j.engappai.2013.07.01310.1016/j.engappai.2013.07.013

3. [3] Smoczek, J., Szpytko, J., “Fuzzy Logic-based Adaptive Control System Prototypying for Laboratory Scaled Overhead Crane”, In: 2013 18th International Conference on Methods & Models in Automation & Robotics (MMAR), Miedzyzdroje, Poland, pp. 92 – 97, 2013. DOI: 10.1109/MMAR.2013.666988710.1109/MMAR.2013.6669887

4. [4] Smoczek, J. “Evolutionary optimization of interval mathematics-based design of a TSK fuzzy controller for anti-cway crane control”, International Journal of Applied Mathematics and Computer Science 23 (4), pp. 749 – 759, 2013. DOI: 10.2478/amcs-2013-005610.2478/amcs-2013-0056

5. [5] Smoczek, J. “Fuzzy crane control with sensorless payload deflection feedback for vibration reduction”, Mechanical Systems and Signal Processing 46 (1), pp. 70 – 81, 2014. DOI: 10.1016/j.ymssp.2013.12.01210.1016/j.ymssp.2013.12.012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A New Payload Swing Angle Sensing Device and Its Accuracy;Sensors;2021-10-04

2. Design of a Fast Discrete Realtime Filters Based on Analog Models;2021 22nd International Carpathian Control Conference (ICCC);2021-05-31