Fast Computation Method for Discrete Krasnoselskii-Pokrovskii Hysteresis Model
Preisach-type model has been widely used to characterize hysteresis phenomena observed in smart materials,e.g.,magnetostritives,piezoceramics,and shape memory alloys (SMAs) due to its simplicity and accuracy.However,for a Preisach-type model (e.g.,Krasnosel’skii-Pokrovskii (KP) hysteresis model) composing of a large number of hysteresis elements (a.k.a hysterons),the computation cost is certainly high.This factor greatly affects the applicability of the Preisach-type models in control applications which require fast computation speed of the model.In this paper,a new method was introduced to overcome this limitation.For a KP model consisting of n hysterons,the proposed approach was mathematically proven to have a computation complexity of O(√n),in contrast to O(n) of the general approaches.To demonstrate the effectiveness of the proposed computation method,some benchmarks were measured and compared.
Preisach model Krasnoselskii-Pokrovskii model hysteresis Shape memory alloys
Van Phu Do Byung Ryong Lee
School of Mechanical and Automotive Engineering, Univ.of Ulsan, San 29, Mugeo-2 Dong, Nam-Gu, Ulsan 680-749, R.of Korea
国际会议
天津
英文
48-53
2012-10-16（万方平台首次上网日期，不代表论文的发表时间）