A Control System for Hydraulic Single Axis Durability Test Rig

2012 ◽  
Author(s):  
Hakan Çalişkan ◽  
Tuna Balkan ◽  
Bülent E. Platin ◽  
İlhan E. Konukseven
Keyword(s):  
Control System ◽  
Test Rig ◽  
Durability Test

scholarly journals RESEARCH AND IMPROVEMENT OF PRECISE ANGLE CONTROL SYSTEM

2010 ◽  
Vol 2 (1) ◽  
pp. 95-98
Author(s):  
Sigitas Šakalinis
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Controller Design ◽  
Stepper Motor ◽  
Main Task ◽  
Test Rig ◽  
Positioning Accuracy ◽  
Technical University

The main task was investigation and precision improve­ment for a positioning drive, installed in a test rig for testing and calibration of the geodetic instruments at Vilnius Gediminas Technical University, Institute of Geodesy. Replacement of a stepper motor and a microstepping controller design increased positioning accuracy to 0.1''. Vibrations and noise of the test rig were significantly decreased using an optimized control algorithm, where resonating step frequencies were bypassed. The time of scale rotation between measurements (every 30°) achieved less than 1.5 min. Methods of the further precision improvement were selected, and this research is in progress now.

Hybrid Magnetic/Foil Bearing System for an Oil-Free Thrust Bearing Test Rig

2001 ◽  
Author(s):  
Thomas E. Russell ◽  
Crystal Heshmat ◽  
Dennis Locke
Keyword(s):  
Magnetic Material ◽  
Control System ◽  
Thrust Bearing ◽  
Material Selection ◽  
System Stability ◽  
Electronic Control ◽  
Test Rig ◽  
Foil Bearing ◽  
Electronic Control System ◽  
Foil Thrust Bearing

A novel, high-speed, high temperature, oil-free, foil thrust bearing test rig has been developed with a critical element being a double-acting, active magnetic thrust bearing. The magnetic thrust bearing is used to react against loads applied to the foil thrust bearing under test. The magnetic bearing has the capability of reacting against thrust loads of up to 2224 N (500 pounds) at speeds to 80,000 rpm, while the rotor is supported by foil journal bearings. Two issues that are especially challenging for this test rig are magnetic material selection and the electronic control system. The magnetic material selection is critical due to the high centrifugal stresses that occur at 80,000 rpm. The electronic control system must handle the non-linear variation in stiffness and damping that is seen by the magnetic thrust bearing as the foil thrust bearing is loaded, as well as maintain rotor system stability as the foil bearing is purposefully overloaded to the point of failure to discover maximum load and performance capabilities. This paper describes the design of the active magnetic thrust bearing, the material selection process, and the development of a digital signal processor based control system. Typical experimental data obtained during operation of the test rig will also be presented.

scholarly journals Design of a Mechanical Power Circulation Test Rig for a Wind Turbine Gearbox

2020 ◽  
Vol 10 (9) ◽  
pp. 3240
Author(s):  
Geun-Ho Lee ◽  
Young-Jun Park ◽  
Ju-Seok Nam ◽  
Joo-Young Oh ◽  
Jeong-Gil Kim
Keyword(s):  
Control System ◽  
Wind Turbine ◽  
Mechanical Power ◽  
Hydraulic Control ◽  
Test Rig ◽  
Wind Turbine Gearbox ◽  
Planetary Gearbox ◽  
Bearing Life ◽  
And Control ◽  
Hydraulic Control System

We developed a mechanical power circulation test rig for a wind turbine gearbox with a power rating of 5.8 MW or less. The test rig consists of an electric motor, two auxiliary gearboxes, a torque-applying device, lubrication systems, cooling systems, and control systems. The torque generating device consists of a planetary gearbox and a hydraulic control system and is used to apply the desired torque to the test gearbox. The hydraulic control system applies the torque on the ring gear of the planetary gearbox. The gears and bearings of the two auxiliary gearboxes and planetary gearboxes met the design criteria for a safety factor of over 1.2 and a bearing life of 30,000 h. In addition, the master and slave gearboxes were connected to the test rig to verify whether the torque-applying device had applied variable torque in real-time during the test. The device was only able to induce a variable torque of up to 45.2 kN-m due to the limitation of the rated torque of the master and slave gearboxes. The test rig can test not only efficiency, vibration, and noise but also durability and overloading.

scholarly journals Development of a Control System for a Small Size Seeding-performance Test Rig

2019 ◽  
Vol 52 (30) ◽  
pp. 202-206
Author(s):  
Wei Liu ◽  
Jianping Hu ◽  
Haoran. Pan
Keyword(s):  
Control System ◽  
Performance Test ◽  
Test Rig

Iterative learning control with complex conjugate gradient optimization algorithm for multiaxial road durability test rig

2018 ◽  
Vol 233 (7) ◽  
pp. 2349-2360 ◽  
Author(s):  
Xiao Wang ◽  
Dacheng Cong ◽  
Zhidong Yang ◽  
Shengjie Xu ◽  
Junwei Han
Keyword(s):  
Conjugate Gradient ◽  
Iterative Learning Control ◽  
Learning Control ◽  
Iterative Learning ◽  
Gradient Algorithm ◽  
Complex Conjugate ◽  
Test Rig ◽  
Learning Gain ◽  
Durability Test ◽  
Optimal Learning

Service load replication performed on multiaxial hydraulic test rigs has been widely applied in automotive engineering for durability testing in laboratory. The frequency-domain off-line iterative learning control is used to generate the desired drive file, i.e. the input signals which drive the actuators of the test rig. During the iterations an experimentally identified linear frequency-domain system model is used. As the durability test rig and the specimen under test have a strong nonlinear behavior, a large number of iterations are needed to generate the drive file. This process will cause premature deterioration to the specimen unavoidably. In order to accelerate drive file construction, a method embedding complex conjugate gradient algorithm into the conventional off-line iterative learning control is proposed to reproduce the loading conditions. The basic principle and monotone convergence of the method is presented. The drive signal is updated according to the complex conjugate gradient and the optimal learning gain. An optimal learning gain can be obtained by an estimate loop. Finally, simulations are carried out based on the identified parameter model of a real spindle-coupled multiaxial test rig. With real-life spindle forces from the wheel force transducer in the proving ground test to be replicated, the simulation results indicate that the proposed conventional off-line iterative learning control with complex conjugate gradient algorithm allows generation of drive file more rapidly and precisely compared with the state-of-the-art off-line iterative learning control. Few have been done about the proposed method before. The new method is not limited to the durability testing and can be extended to other systems where repetitive tracking task is required.

Demonstration of Simultaneous Temperature and Power Control in a Simulation Facility for a SOFC Hybrid System

2012 ◽  
Author(s):  
Francesco Caratozzolo ◽  
Mario L. Ferrari ◽  
Alberto Traverso ◽  
Aristide F. Massardo
Keyword(s):  
Control System ◽  
Fuel Cell ◽  
Real Time ◽  
Hybrid System ◽  
Thermal Response ◽  
Experimental Plant ◽  
Outlet Temperature ◽  
Test Rig ◽  
Time Model ◽  
The University

This study is based on a complete hybrid system emulator test rig developed at the University of Genoa (Savona laboratory) by the Thermochemical Power Group (TPG). The plant is mainly composed of a 100 kW recuperated micro gas turbine coupled with both anodic and cathodic vessels for high temperature fuel cell emulation. The test rig was recently equipped with a real-time model for emulating components not physically present in the laboratory (SOFC block, reformer, anodic circuit, off-gas burner, cathodic blower). This model is used to fully evaluate thermodynamic and electrochemical performance related to solid oxide fuel cell systems. Using a UDP based connection with the test rig control and acquisition software, it generates a real-time hardware-in-the-loop (HIL) facility for hybrid system emulation. Temperature, pressure and air mass flow rate at the recuperator outlet (downstream of the compressor) and rotational speed of the machine are inputs from the plant to the model. The turbine outlet temperature (TOT) calculated by the model is fed into the machine control system and the turbine electric load is moved to match the model TOT values. In this study various tests were carried out to characterize the interaction between the experimental plant and the real-time model; double step and double ramp tests of current and fuel provided the dynamic response of the system. The control system proved to be fast, compared to the slow thermal response of the SOFC stack, and also reliable. The hybrid systems operated at 90% of nominal power with electrical efficiency of about 56% based on natural gas LHV.

INFORMATION–MEASUREMENT SYSTEM AND CONTROL SYSTEM OF THE BEARING UNIT WITH MAGNETOREOLOGICAL FLUID

2020 ◽  
Vol 2 ◽  
pp. 104-108
Author(s):  
M.E. BONDARENKO ◽  
A.S. FETISOV ◽  
S.G. POPOV ◽  
V.O. TYURIN
Keyword(s):  
Control System ◽  
Measuring System ◽  
Test Rig ◽  
Information Measurement ◽  
Bearing Unit ◽  
Information Measurement System ◽  
Information Measuring System ◽  
Processing Information ◽  
Bearing Assembly ◽  
And Control

The paper presents a description of the design and principle of operation of the bearing unit with magnetorheological lubrication. A test rig for the study of the dynamic and tribological characteristics of the bearing unit is presented. The information–measuring system for collecting and processing information is described. The control system of the mechatronic bearing assembly is presented.

A Unified Hamiltonian Approach for LQ and H∞ Preview Control Algorithms

1999 ◽  
Vol 121 (3) ◽  
pp. 365-369 ◽  
Author(s):  
Lawrence Mianzo ◽  
Huei Peng
Keyword(s):  
Discrete Time ◽  
Tracking Control ◽  
Control Algorithms ◽  
Hamiltonian Approach ◽  
Test Rig ◽  
Preview Control ◽  
Durability Test ◽  
Simulation Results

A framework for solving both the continuous and discrete-time LQ and H∞ preview control algorithms is presented in this paper. The tracking control of an automotive durability test rig is used as an application example. Simulation results are presented to illustrate the effectiveness of the preview control algorithms.

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