Mathematical Modeling of Chain Drive Geometries for a Durability Test Rig

Y. Zhou

doi:10.1007/s40799-016-0108-7

Research on a novel flow rate inferential measurement method and its application in hydraulic elevators

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406216638884 ◽

2016 ◽

Vol 231 (2) ◽

pp. 372-386 ◽

Cited By ~ 2

Author(s):

Bing Xu ◽

Pengpeng Dong ◽

Junhui Zhang ◽

Jinjin Yao

Keyword(s):

Mathematical Modeling ◽

Flow Rate ◽

Measurement Method ◽

Sensitivity Analyses ◽

Hydraulic Systems ◽

Rate Measurement ◽

Flow Rate Measurement ◽

Test Rig ◽

Flow Meters ◽

Inferential Measurement

Measuring and controlling the flow rate is a widely concerned problem in engineering fields. The direct flow rate measurement employing conventional flow meters and the indirect flow rate measurement using speed/position transducers or other particular techniques would result in inevitable pressure drop in hydraulic circuits, more energy consumption for pumping fluid, and higher cost of hydraulic systems. This paper presents a novel flow rate inferential measurement method and its application in hydraulic elevators. Mathematical modeling of the proposed method is deduced. The key component of the hydraulic elevator circuit, a two-stage proportional flow rate valve, is verified by experiments as one of the contributions of this paper. Based on the mathematical modeling and the valve validation test, the feasibility and validity of the proposed method are verified by the experiments performed on a test rig which is designed to imitate work situations of a hydraulic elevator. Moreover, sensitivity analyses of the proposed flow rate inferential measurement method are carried out to find the ways how to improve the accuracy of the proposed method. It is believed that this method can be applied in various engineering devices.

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

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406218786981 ◽

2018 ◽

Vol 233 (7) ◽

pp. 2349-2360 ◽

Cited By ~ 3

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.

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Aileron endurance test rig design based on high fidelity mathematical modeling

CEAS Aeronautical Journal ◽

10.1007/s13272-017-0267-y ◽

2017 ◽

Vol 8 (4) ◽

pp. 653-671 ◽

Cited By ~ 1

Author(s):

Mukesh Prasad ◽

K. V. Gangadharan

Keyword(s):

Mathematical Modeling ◽

High Fidelity ◽

Test Rig ◽

Endurance Test

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

Journal of Dynamic Systems Measurement and Control ◽

10.1115/1.2802483 ◽

1999 ◽

Vol 121 (3) ◽

pp. 365-369 ◽

Cited By ~ 11

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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