Neural networks based identification and compensation of rate-dependent hysteresis in piezoelectric actuators
β Scribed by Xinliang Zhang; Yonghong Tan; Miyong Su; Yangqiu Xie
- Publisher
- Elsevier Science
- Year
- 2010
- Tongue
- English
- Weight
- 383 KB
- Volume
- 405
- Category
- Article
- ISSN
- 0921-4526
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A novel neural network based method for modeling of rate-dependent hysteresis in piezoelectric actuators is proposed. In order to approximate the behavior of rate-dependent hysteresis which is a kind of nonsmooth dynamic nonlinearity with multi-valued mapping, a diagonal recurrent neural network (DR
In this paper, a new ellipse-like mathematic model is proposed to describe the rate-dependent hysteresis in piezoelectric actuators. Since the expressions of the model are completely analytical and can be determined only by a set of parameters, this method simplifies the modeling of complicated hyst