Control of Hysteresis in Smart Actuators, Part I: Modeling, Parameter Identification, and Inverse Control
dc.contributor.author | Tan, Xiaobo | en_US |
dc.contributor.author | Baras, John S. | en_US |
dc.contributor.department | ISR | en_US |
dc.contributor.department | CDCSS | en_US |
dc.date.accessioned | 2007-05-23T10:13:27Z | |
dc.date.available | 2007-05-23T10:13:27Z | |
dc.date.issued | 2002 | en_US |
dc.description.abstract | Hysteresis in smart actuators presents a challenge in control of these actuators. A fundamental idea to cope with hysteresis is inverse compensation. In this paper we study modeling, identification and inverse control of hysteresis in smart actuators through the example of controlling a commercially available magnetostrictive actuator. The (rate-independent) Preisach operator has been used extensively to model the hysteresis in smart actuators. We present efficient inversion algorithms for the Preisach operator that are implementable in real-time. The magnetostrictive hysteresis is rate-dependent at high frequencies. For this we propose a novel dynamic hysteresis model by coupling a Preisach operator to an ordinary differential equation. This model can capture the dynamic and hysteretic behavior of the magnetostrictive actuator, and it provides insight into modeling of rate-dependent hysteresis in other smart materials. The effectiveness of the identification and inverse control schemes is demonstrated through extensive experimental results. | en_US |
dc.format.extent | 1188843 bytes | |
dc.format.mimetype | application/pdf | |
dc.identifier.uri | http://hdl.handle.net/1903/6342 | |
dc.language.iso | en_US | en_US |
dc.relation.ispartofseries | ISR; TR 2002-54 | en_US |
dc.relation.ispartofseries | CDCSS; TR 2002-8 | en_US |
dc.subject | Sensor-Actuator Networks | en_US |
dc.title | Control of Hysteresis in Smart Actuators, Part I: Modeling, Parameter Identification, and Inverse Control | en_US |
dc.type | Technical Report | en_US |
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