A New PID Control Method for Hydraulic Turbine Governor

Abstract:

This paper addresses analysis and design issues in PID control for hydraulic turbine using the backstepping algorithm. The first step consists in using a one-order filter to weaken the under-shoot effect caused by the non-stable zero in model, and then, adding an integral action to the basic backstepping algorithm to obtain a zero static error, therefore an integrator is added to the plant model and is then slid back to the controller equation at the end of the design. The PID controller can be obtained by backstepping algorithm and comparison with conventional PID controller.This document explains and demonstrates how to prepare your camera-ready manuscript for Trans Tech Publications. The best is to read these instructions and follow the outline of this text. The text area for your manuscript must be 17 cm wide and 25 cm high (6.7 and 9.8 inches, resp.). Do not place any text outside this area. Use good quality, white paper of approximately 21 x 29 cm or 8 x 11 inches (please do not change the document setting from A4 to letter). Your manuscript will be reduced by approximately 20% by the publisher. Please keep this in mind when designing your figures and tables etc.

• Periodical: Applied Mechanics and Materials (Volume 420)
• Pages: 375-380
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.420.375
• Online since: September 2013
• Authors: Yin Song Wang, Hong Liang Zheng
• Keywords: Backstepping Algorithm, Hydraulic Turbine, One-Order Filter, PID Controller, Under-Shoot

References

[1] Li Yongling, Huang Yu, Ma Jin, Wang Bingshu. Active disturbance rejection controller for hydraulic turbine generator system. Proceeding of the 31st Chinese control conference. pp: 4684-4688(2012).

[2] BENASKEUR,A.R., PAQUIN,L.N., and DESBIENS,A. Toward industrial control applications of the backstepping. Process Control and Instrumentation Glasgow, Scotland, pp.62-67(2000).

[3] A.R. Benaskeur and A. Desbiens. Backstepping-based adaptive PID control. IEE, 2002 IEE Proceedings online no. 20020100.

DOI: 10.1049/ip-cta:20020100

[4] Pangao Kou, Jianzhong Zhou, Chaoshun Li, Hui He. Identification of hydraulic turbine governor system parameters based on bacterial foraging optimization algorithm. Natural Computation (ICNC), 2010 sixth international conference on , pp.3339-3343(2010).

DOI: 10.1109/icnc.2010.5583639

[5] Zhihuai Xiao, Shuqing Wang. Identifying of hydraulic turbine generating unit model based on neural network. Proceedings of the sixth international conference on intelligent system design and application, pp.113-117(2006).

DOI: 10.1109/isda.2006.172

[6] Wang Yinsong，Shang Guocai．The variable parameters PID control for the real power of the hydraulic turbo generators[J]．Automation of Electric Power Systems, 22(1): 45-48(1998).