TY - JOUR
T1 - Multi-variable variable gain controller design and simulation based on aero engine
AU - Li, Jia
AU - Li, Huacong
AU - Xu, Xuan
AU - Wang, Shuhong
N1 - Publisher Copyright:
© 2016, Editorial Board of JBUAA. All right reserved.
PY - 2016/9/1
Y1 - 2016/9/1
N2 - Aimed at multi-variable variable gain controller design of aero engine in full envelope work, an improved KQ algorithm and its simulation applications are presented. First, we clarified the control theory and optimization algorithm of multi-variable KQ algorithms, and designed KQ controller via closed-loop desired function selection, controller structure selection and controller parameter optimization. Then we gave the stability proof and singular value analysis based on the designed KQ controller. Analysis shows that the designed KQ controller can make the system closed-loop stability, and has satisfactory low frequency instruction track, interference suppression, sensor noise suppression, high frequency unmodeled dynamic robust stability and non-sensitive low frequency engine modeling error, which can meet the control requirements of engine. Then, we designed a turbofan engine multi-variable KQ gain scheduling controller through scheduling variable selection, designed-point's KQ controller design and undersigned-points' KQ controller design by interpolation, and carried out a simulation to verify it. The results show that at the designed point, the controlled parameters have a fast response, the rise time is less than 1 s, and the coupling effect is less than 6% when the turbine temperatures and pressure ratios are step reference input signals. The KQ variable gain controller by interpolation method has better performance at the undersigned-points, and can achieve the turbofan engine full envelope control performance requirements.
AB - Aimed at multi-variable variable gain controller design of aero engine in full envelope work, an improved KQ algorithm and its simulation applications are presented. First, we clarified the control theory and optimization algorithm of multi-variable KQ algorithms, and designed KQ controller via closed-loop desired function selection, controller structure selection and controller parameter optimization. Then we gave the stability proof and singular value analysis based on the designed KQ controller. Analysis shows that the designed KQ controller can make the system closed-loop stability, and has satisfactory low frequency instruction track, interference suppression, sensor noise suppression, high frequency unmodeled dynamic robust stability and non-sensitive low frequency engine modeling error, which can meet the control requirements of engine. Then, we designed a turbofan engine multi-variable KQ gain scheduling controller through scheduling variable selection, designed-point's KQ controller design and undersigned-points' KQ controller design by interpolation, and carried out a simulation to verify it. The results show that at the designed point, the controlled parameters have a fast response, the rise time is less than 1 s, and the coupling effect is less than 6% when the turbine temperatures and pressure ratios are step reference input signals. The KQ variable gain controller by interpolation method has better performance at the undersigned-points, and can achieve the turbofan engine full envelope control performance requirements.
KW - Controller
KW - KQ control algorithm
KW - Multi-variable control
KW - Turbofan engine
KW - Variable gain scheduling
UR - http://www.scopus.com/inward/record.url?scp=84990230632&partnerID=8YFLogxK
U2 - 10.13700/j.bh.1001-5965.2015.0583
DO - 10.13700/j.bh.1001-5965.2015.0583
M3 - 文章
AN - SCOPUS:84990230632
SN - 1001-5965
VL - 42
SP - 1958
EP - 1968
JO - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
JF - Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics
IS - 9
ER -