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  • 标题:A QP Solver Implementation for Embedded Systems Applied to Control Allocation
  • 本地全文:下载
  • 作者:Christina Schreppel ; Jonathan Brembeck
  • 期刊名称:Computation
  • 电子版ISSN:2079-3197
  • 出版年度:2020
  • 卷号:8
  • 期号:4
  • 页码:88-108
  • DOI:10.3390/computation8040088
  • 出版社:MDPI Publishing
  • 摘要:Quadratic programming problems (QPs) frequently appear in control engineering. For use on embedded platforms, a QP solver implementation is required in the programming language C. A new solver for quadratic optimization problems, EmbQP, is described, which was implemented in well readable C code. The algorithm is based on the dual method of Goldfarb and Idnani and solves strictly convex QPs with a positive definite objective function matrix and linear equality and inequality constraints. The algorithm is outlined and some details for an efficient implementation in C are shown, with regard to the requirements of embedded systems. The newly implemented QP solver is demonstrated in the context of control allocation of an over-actuated vehicle as application example. Its performance is assessed in a simulation experiment.
  • 关键词:quadratic programming problems; active set method; embedded systems; control allocation problem; over-actuated mechanical systems quadratic programming problems ; active set method ; embedded systems ; control allocation problem ; over-actuated mechanical systems
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