Control of the Test Rig for Spring Stiffness Measurement with Hydraulic Integrated Actuator and Computer Vision

Authors

  • Petr Noskievič Faculty of Mechanical Engineering, VŠB-Technical University of Ostrava, Ostrava – Poruba, Czech Republic
  • Melvin Alexis Lara De León Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava – Poruba, Czech Republic

DOI:

https://doi.org/10.13052/ijfp1439-9776.2131

Keywords:

Integrated hydraulic actuator;, Spring stiffness;, Control;, Computer Vision;, Distance measurement;, Human detection;

Abstract

The paper deals with the control of the test rig for measurement of the stiffness of the spring. The test rig is equipped with integrated hydraulic actuator and multilayer control system with computer vision to automate the testing process and to increase the safety of the operating staff during the testing. The integrated hydraulic actuator allows to control the piston velocity and position and to produce the force needed for the spring compression and stiffness measurement. It has an integrated manifold with four proportional flow control valves connected as the full hydraulic resistance bridge. Each control valve is controlled separately using the input signal. That makes it possible to realize different connections and control strategies of the hydraulic cylinder using the different control algorithms. The hydraulic circuit was modelled and simulated, and the achieved simulation results are presented in the paper. The test rig is controlled using the microprocessor control system and is it equipped by different transducers – position transducer, pressure transducers and force transducer to be able to collect data important for the stiffness characteristic evaluation. The upper level of the control system is created by the vision control system. The goal of the implementation of the machine vision is to decrease the number of the manual operations done by the technician by the spring testing and to extend the automatic testing cycle of the automatic computer vision-controlled movement of the actuator at the beginning of the testing cycle and finally to increase the safety of the operating staff. The structure and functionality of the designed control system, experimentally obtained results and evaluated stiffness characteristic of the tested spring are presented in the following chapters.

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Author Biographies

Petr Noskievič, Faculty of Mechanical Engineering, VŠB-Technical University of Ostrava, Ostrava – Poruba, Czech Republic

Petr Noskievič born 1959 in Ostrava, Czech Republic. After dissertation (1987) he worked for 8 years in the industry in control of hydraulic drives. Since 2001 he is a professor at the VŠB-Technical University of Ostrava. He delivers lectures from Modelling and Simulation of Mechatronic system, System Identification and Control of Fluid Power Drives. He introduced bachelor and master study programme Mechatronics and is a supervisor and guarantor of the doctoral study programme Control of Machines and Processes at the Faculty of Mechanical Engineering. His main research areas are modelling, simulation and control of hydraulic drives.

Melvin Alexis Lara De León, Faculty of Electrical Engineering and Computer Science, VŠB-Technical University of Ostrava, Ostrava – Poruba, Czech Republic

Melvin Alexis Lara De León born in San Cristobal, Dominican Republic. Studied his bachelor’s degree at the Institute of Technology of Santo Domingo. After 4 years of work experience moved to Ostrava, Czech Republic to course a master’s degree in Mechatronics at the VŠB-Technical University of Ostrava (VŠB-TUO), focused his studies on Computer Vision and its integration with mechatronic System. Currently, he is coursing a PhD in “Decision-making support based on machine learning methods in industrial control systems” at the VŠB-TUO and working as a Computer Vision Specialist.

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Published

2021-02-06

How to Cite

Noskievič, P. ., & De León, M. A. L. . (2021). Control of the Test Rig for Spring Stiffness Measurement with Hydraulic Integrated Actuator and Computer Vision. International Journal of Fluid Power, 21(3), 305–326. https://doi.org/10.13052/ijfp1439-9776.2131

Issue

Section

NSHP2020