本文提出一新的適應性方法以估測線性動態系統下的周期性干擾。不同於以往的適應性設計,本方法有以下的優點:第一點是它的增益可以任意選擇而不影響控制系統的穩定度。第二點是不需反轉系統模式,可以適用於極小相與非極小相系統。第三點是經由所得的干擾估測,可以架構出一沒有誤差的狀態觀測器。
This paper proposes a new adaptive algorithm for estimating periodic disturbances in linear dynamic systems. Unlike previous designs, the new adaptive algorithm has the following advantages. Firstly, its adaptation gain can be arbitrarily chosen without affecting the control system stability. Secondly, it can be applied to minimum-phase systems as well as non-minimum phase systems without inversing the system model. Finally, by using the obtained disturbance estimate, one can construct a Luenberger type observer that produces unbiased state estimate in the face of unknown periodic disturbances.