Research on Adaptive PID Control for Load Simulator with Varying Load

Ju Tian; Yao Chen

doi:10.4028/www.scientific.net/AMM.568-570.1031

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 568-570Research on Adaptive PID Control for Load...

Research on Adaptive PID Control for Load Simulator with Varying Load

Abstract:

The electro-hydraulic load simulator is an important equipment for aircraft hardware-in-the-loop simulation. An adaptive PID control method for compensating extraneous torque with simple structure and easy to implement is proposed according to the variation characteristics of load gradient in the load simulator. The control parameter tuning method is also given.

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Periodical:

Applied Mechanics and Materials (Volumes 568-570)

Pages:

1031-1035

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.568-570.1031

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Online since:

June 2014

Authors:

Ju Tian*, Yao Chen

Keywords:

Adaptive PID Control Parameter Tuning, Extraneous Torque, Load Simulator

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* - Corresponding Author

References

[1] J. Tian, Recent Deveopment and Status of Passive Loading System. Hydraulic and Pneumatic. 8(2009)48-51.

Google Scholar

[2] M. Wang, B. Guo, Y. Guan, et al, Design of Electric Dynamic Load Simulator Based on Recurrent Neural Networks. Proceedings of IEEE Electric Machines and Drives Conference. Wisconsin, USA. (2003) 207-210.

DOI: 10.1109/iemdc.2003.1211264

Google Scholar

[3] Y. Nam, QFT Force Loop Design for the Aerodynamic Load Simulator. IEEE Transactions, Aerospace and Electronic Systems. 37(2001)1384-1392.

DOI: 10.1109/7.976973

Google Scholar

[4] C. Chen, Design and Analysis of Neural/Fuzzy Variable Structural PID Control System. IEEE Proceedings of Control Theory and Application. 143(1996)200-208.

DOI: 10.1049/ip-cta:19960261

Google Scholar

[5] M. Smaoui, X. Brun X and D. Thomasset, Systematic Control of an Electro-Pneumatic System: Integrator Backstepping and Sliding Mode Control. IEEE Transactions on Control System Technology. 14(2006)905-913.

DOI: 10.1109/tcst.2006.880183

Google Scholar

[6] J. Tian, Study on Control Strategy of Electro-Hydraulic Servo Loading System. Telkomnika Indonesian Journal of Electrical Engineering. 11(2013) 5044 - 5047.

DOI: 10.11591/telkomnika.v11i9.3246

Google Scholar