Self-tuning control has developed rapidly due to its effectiveness and feasible implementation. This paper is based on a relatively simple generalised H∞ self tuning control philosophy due to Grimble (1987). The theoretical framework of the GH∞ cost function is investigated. The procedures for weight selection to include robustness are given justification. The special needs of the identification algorithm are also examined. The resulting strategy is applied to the robust stabilizing control of an aeroengine across several operating points and the performance improvements over classical designs quantified.
On the performance of GH∞ self-tuning for aeroengine control
1994-01-01
6 pages
Article (Journal)
English
robustness , control system synthesis , generalised H<E7>∞</E7> self tuning control , identification algorithm , weight selection , identification , optimal control , self-adjusting systems , control system analysis , GH<E7>∞</E7> cost function , aerospace control , aerospace engines , aeroengine control , adaptive control
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