Design, calibration and error analysis of a piezoelectric thrust dynamometer for small thrust liquid pulsed rocket engines

Xing, Qin; Zhang, Jun; Qi, Min; Jia, Zhenyuan; Sun, Bingrong

doi:10.1016/j.measurement.2010.10.008

Cited by 18 publications

(8 citation statements)

References 12 publications

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“…The necessities in precise high dynamic pressure measurement have increased in miscellaneous industrial and research applications [12][13][14]. For example, including development and monitoring of automotive engines, gas turbine engines, hydraulic systems, and development of the ammunition and firearms, medicine, aviation and spaceflight, defense industries, turbomachinery, aerodynamics, fluid power and control and oil industries [7,11,15,16]. So, it is seen that dynamic pressure is needed to be measured in the wide frequency band is appeared [17,18].…”

Section: Literature Reviewmentioning

confidence: 99%

An investigation on characterization of dynamic pressure transducers using material impact test machine

Durgut

Bagci

Akşahin

et al. 2017

J Braz. Soc. Mech. Sci. Eng.

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Section: Literature Reviewmentioning

confidence: 99%

An investigation on characterization of dynamic pressure transducers using material impact test machine

Durgut

Bagci

Akşahin

et al. 2017

J Braz. Soc. Mech. Sci. Eng.

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“…At present, the calibration work of the vehicle load simulation system is less abundant, while the calibration methods of other load simulation systems can be used for reference. Reference [23] showcases the calibration work for a piezoelectric thrust dynamometer for small thrust liquid pulsed rocket engines. The calibration work is divided into static and dynamic parts.…”

Section: Introductionmentioning

confidence: 99%

Research on the Modeling, Control, and Calibration Technology of a Tracked Vehicle Load Simulation Test Bench

Zhou

Yang

et al. 2019

Applied Sciences

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The load simulation test bench plays an important role in tracked vehicle development. The stability and accuracy of the system have a vital impact on the experimental results. To accurately reproduce the power performance of a tracked vehicle on the test platform, this paper aims to investigate the model, control, and calibration method of the test bench. Firstly, the dynamic model of a tracked vehicle under complex driving conditions is analyzed and established, which takes driving torque as the input and driving wheel speed as the output. Then, considering the uncertainties and disturbances in the system model, a 2-degree-of-freedom (2-DOF) control method combined with a disturbance observer is proposed to solve the stability problem of the system. Furthermore, in order to investigate the accuracy of the simulation on the test bed, a method of calibrating the system by a flywheel set with standard inertia is proposed. In the calibration process, the influence of the system resistance torque and the original mechanical inertia on the results is considered, and the response time of the inertia simulation is analyzed in both a steady and dynamic state. Finally, the load simulation test is carried out with the corrected system. The test results show that the system has a high load simulation accuracy under various load simulation tests.

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“…Li et al 2 have studied hardware calibration technology of force sensors based on signal processing, computer intelligence and intelligent processing. Gao and Sun 3 and Xing et al 4 have, respectively, applied the least squares method to achieve static calibration and dynamic calibration of force for the piezoelectric system. Fan and Liu 5 have studied calibration algorithm of pressure sensors based on output static characteristic.…”

Section: Introductionmentioning

confidence: 99%

The calibration of force offset for rocket engine based on deep belief network

Zhang

Ren

et al. 2018

Measurement and Control

Self Cite

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Background: Force offset is an important movement and control parameter in rocket motor development process, and its accurate measurement is a vital guarantee of rocket motor reliable operation, so there is an essential significance to achieve accurate force offset calibration. Methods: A novel force offset nonlinear calibration method is proposed based on deep belief network. Experimental platform is established and force offset calibration test is completed. Because the Levenberg-Marquardt process has the advantage of both Newton method and gradient descent method, test data are trained with Levenberg-Marquardt, decreasing nonlinear mapping convergence errors and realizing nonlinear calibration of force offset. Results and Conclusions: Training results show that the mean deviation rate of force offset after nonlinear calibration is less than 2.7%, better than the back-propagation neural network and least squares method, verifying the reasonableness and practicality of nonlinear compensation calibration method and effectively improving force offset calibration accuracy.

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Design, calibration and error analysis of a piezoelectric thrust dynamometer for small thrust liquid pulsed rocket engines

Cited by 18 publications

References 12 publications

An investigation on characterization of dynamic pressure transducers using material impact test machine

An investigation on characterization of dynamic pressure transducers using material impact test machine

Research on the Modeling, Control, and Calibration Technology of a Tracked Vehicle Load Simulation Test Bench

The calibration of force offset for rocket engine based on deep belief network

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