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Tracking control of piezoelectric actuator using adaptive model.

Minh TV, Linh NM, Chen X - Robotics Biomim (2016)

Bottom Line: However, a major deficiency of PEAs is that their accuracy is seriously limited by hysteresis.This paper presents adaptive model predictive control technique for reducing hysteresis in PEAs based on autoregressive exogenous model.Experimental results show the effectiveness of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam.

ABSTRACT

Piezoelectric actuators (PEAs) have been widely used in micro- and nanopositioning applications due to their fine resolution, rapid responses, and large actuating forces. However, a major deficiency of PEAs is that their accuracy is seriously limited by hysteresis. This paper presents adaptive model predictive control technique for reducing hysteresis in PEAs based on autoregressive exogenous model. Experimental results show the effectiveness of the proposed method.

No MeSH data available.


Related in: MedlinePlus

Tracking error for yd1(k)
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Fig6: Tracking error for yd1(k)

Mentions: Figure 5 shows the tracking result. The tracking error is shown in Fig. 6. It can be seen that the maximum error at steady state is about 0.4 %.Fig. 5


Tracking control of piezoelectric actuator using adaptive model.

Minh TV, Linh NM, Chen X - Robotics Biomim (2016)

Tracking error for yd1(k)
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4863037&req=5

Fig6: Tracking error for yd1(k)
Mentions: Figure 5 shows the tracking result. The tracking error is shown in Fig. 6. It can be seen that the maximum error at steady state is about 0.4 %.Fig. 5

Bottom Line: However, a major deficiency of PEAs is that their accuracy is seriously limited by hysteresis.This paper presents adaptive model predictive control technique for reducing hysteresis in PEAs based on autoregressive exogenous model.Experimental results show the effectiveness of the proposed method.

View Article: PubMed Central - PubMed

Affiliation: School of Mechanical Engineering, Hanoi University of Science and Technology, Hanoi, Vietnam.

ABSTRACT

Piezoelectric actuators (PEAs) have been widely used in micro- and nanopositioning applications due to their fine resolution, rapid responses, and large actuating forces. However, a major deficiency of PEAs is that their accuracy is seriously limited by hysteresis. This paper presents adaptive model predictive control technique for reducing hysteresis in PEAs based on autoregressive exogenous model. Experimental results show the effectiveness of the proposed method.

No MeSH data available.


Related in: MedlinePlus