Volume 43 Issue 12
Dec.  2017
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NIE Youwei, LI Qiuhong, WANG Yuan, et al. Variable cycle engine performance seeking control based on SQCQP algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2564-2572. doi: 10.13700/j.bh.1001-5965.2016.0926(in Chinese)
Citation: NIE Youwei, LI Qiuhong, WANG Yuan, et al. Variable cycle engine performance seeking control based on SQCQP algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(12): 2564-2572. doi: 10.13700/j.bh.1001-5965.2016.0926(in Chinese)

Variable cycle engine performance seeking control based on SQCQP algorithm

doi: 10.13700/j.bh.1001-5965.2016.0926
Funds:

Scientific Innovation Research Project for Graduate Students in Jiangsu Province Universities SJLX15_0105

More Information
  • Corresponding author: LI Qiuhong, E-mail: lqh203@nuaa.edu.cn
  • Received Date: 08 Dec 2016
  • Accepted Date: 31 Mar 2017
  • Publish Date: 20 Dec 2017
  • In order to meet the demands of the variable cycle engine (VCE) performance seeking control (PSC), a new PSC method based on the sequential quadratically constrained quadratic programming (SQCQP) algorithm was proposed. The sub-problem of the quadratically constrained quadratic programming (QCQP) was changed to fitness function by penalty function, and an improved differential evolution (IDE) algorithm was proposed to solve the QCQP sub-problem and to get the global optimal searching direction. Compared with the widely-used sequential quadratic programming (SQP) algorithm, the improved differential evolution-sequential quadratically constrained quadratic programming (IDE-SQCQP) algorithm can find a better solution by less iterations. The IDE-SQCQP algorithm is applied to performance seeking control of the variable cycle engine. The simulation results show that, in the maximum thrust mode, IDE-SQCQP algorithm takes 16.81% less time than SQP while thrust is enhanced by 21.50%, and in the minimum fuel-consumption mode, it takes 14.90% less time than SQP algorithm while fuel-consumption is dropped by 31.03%. The algorithm achieves the goal of proposal.

     

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