PMID- 35630165
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220716
IS  - 2072-666X (Print)
IS  - 2072-666X (Electronic)
IS  - 2072-666X (Linking)
VI  - 13
IP  - 5
DP  - 2022 Apr 29
TI  - Identification of Preisach Model Parameters Based on an Improved Particle Swarm 
      Optimization Method for Piezoelectric Actuators in Micro-Manufacturing Stages.
LID - 10.3390/mi13050698 [doi]
LID - 698
AB  - The Preisach model is a typical scalar mathematical model used to describe the 
      hysteresis phenomena, and it attracts considerable attention. However, parameter 
      identification for the Preisach model remains a challenging issue. In this paper, 
      an improved particle swarm optimization (IPSO) method is proposed to identify 
      Preisach model parameters. Firstly, the Preisach model is established by 
      introducing a Gaussian-Gaussian distribution function to replace density 
      function. Secondly, the IPSO algorithm is adopted to Fimplement the parameter 
      identification. Finally, the model parameter identification results are compared 
      with the hysteresis loop of the piezoelectric actuator. Compared with the 
      traditional Particle Swarm Optimization (PSO) algorithm, the IPSO algorithm 
      demonstrates faster convergence, less calculation time and higher calculation 
      accuracy. This proposed method provides an efficient approach to model and 
      identify the Preisach hysteresis of piezoelectric actuators.
FAU - Yang, Lei
AU  - Yang L
AUID- ORCID: 0000-0002-8022-2142
AD  - School of Information Science and Engineering, Jishou University, Jishou 416000, 
      China.
FAU - Ding, Bingxiao
AU  - Ding B
AD  - School of Information Science and Engineering, Jishou University, Jishou 416000, 
      China.
AD  - College of Physics and Electromechanical Engineering, Jishou University, Jishou 
      416000, China.
FAU - Liao, Wenhu
AU  - Liao W
AD  - School of Information Science and Engineering, Jishou University, Jishou 416000, 
      China.
AD  - College of Physics and Electromechanical Engineering, Jishou University, Jishou 
      416000, China.
FAU - Li, Yangmin
AU  - Li Y
AUID- ORCID: 0000-0002-4448-3310
AD  - Department of Industrial and Systems Engineering, The Hong Kong Polytechnic 
      University, Hong Kong 999077, China.
LA  - eng
PT  - Journal Article
DEP - 20220429
PL  - Switzerland
TA  - Micromachines (Basel)
JT  - Micromachines
JID - 101640903
PMC - PMC9144903
OTO - NOTNLM
OT  - Preisach hysteresis
OT  - improved particle swarm optimization
OT  - piezoelectric materials
COIS- The authors declare no conflict of interest.
EDAT- 2022/05/29 06:00
MHDA- 2022/05/29 06:01
PMCR- 2022/04/29
CRDT- 2022/05/28 01:31
PHST- 2022/04/07 00:00 [received]
PHST- 2022/04/21 00:00 [revised]
PHST- 2022/04/25 00:00 [accepted]
PHST- 2022/05/28 01:31 [entrez]
PHST- 2022/05/29 06:00 [pubmed]
PHST- 2022/05/29 06:01 [medline]
PHST- 2022/04/29 00:00 [pmc-release]
AID - mi13050698 [pii]
AID - micromachines-13-00698 [pii]
AID - 10.3390/mi13050698 [doi]
PST - epublish
SO  - Micromachines (Basel). 2022 Apr 29;13(5):698. doi: 10.3390/mi13050698.