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Kalman Filter Based Adaptive Control for Real-Time Hybrid Simulation with Nonlinear Substructure
https://orcid.org/http://orcid.org/0000-0002-4228-3534
https://orcid.org/http://orcid.org/0000-0002-6168-7710
Real-time hybrid simulation (RTHS) plays an important role in obtaining the structural responses under dynamic loads. However, the nonlinearities in physical testing system often induce time-delay, which is detrimental to RTHS. To deal with this issue, a Kalman filter based adaptive delay compensation (KF-ADC) method had been proposed based on the discrete system model, whose parameters is estimated by Kalman filter (KF) algorithm. The delay compensation method was validated through a Benchmark problem in RTHS. This study intends to further investigate the performance of KF-ADC dealing with nonlinear physical substructures (PS). Virtual RTHSs are carried out on PS with bilinear and Bouc-wen restoring force characteristics, respectively. The results of virtual RTHSs reveal that the KF-ADC has an excellent tracking performance for nonlinear physical substructure and is beneficial for improving the accuracy and stability of RTHS.
Kalman Filter Based Adaptive Control for Real-Time Hybrid Simulation with Nonlinear Substructure
https://orcid.org/http://orcid.org/0000-0002-4228-3534
https://orcid.org/http://orcid.org/0000-0002-6168-7710
Real-time hybrid simulation (RTHS) plays an important role in obtaining the structural responses under dynamic loads. However, the nonlinearities in physical testing system often induce time-delay, which is detrimental to RTHS. To deal with this issue, a Kalman filter based adaptive delay compensation (KF-ADC) method had been proposed based on the discrete system model, whose parameters is estimated by Kalman filter (KF) algorithm. The delay compensation method was validated through a Benchmark problem in RTHS. This study intends to further investigate the performance of KF-ADC dealing with nonlinear physical substructures (PS). Virtual RTHSs are carried out on PS with bilinear and Bouc-wen restoring force characteristics, respectively. The results of virtual RTHSs reveal that the KF-ADC has an excellent tracking performance for nonlinear physical substructure and is beneficial for improving the accuracy and stability of RTHS.
Kalman Filter Based Adaptive Control for Real-Time Hybrid Simulation with Nonlinear Substructure
https://orcid.org/http://orcid.org/0000-0002-4228-3534
https://orcid.org/http://orcid.org/0000-0002-6168-7710
Real-time hybrid simulation (RTHS) plays an important role in obtaining the structural responses under dynamic loads. However, the nonlinearities in physical testing system often induce time-delay, which is detrimental to RTHS. To deal with this issue, a Kalman filter based adaptive delay compensation (KF-ADC) method had been proposed based on the discrete system model, whose parameters is estimated by Kalman filter (KF) algorithm. The delay compensation method was validated through a Benchmark problem in RTHS. This study intends to further investigate the performance of KF-ADC dealing with nonlinear physical substructures (PS). Virtual RTHSs are carried out on PS with bilinear and Bouc-wen restoring force characteristics, respectively. The results of virtual RTHSs reveal that the KF-ADC has an excellent tracking performance for nonlinear physical substructure and is beneficial for improving the accuracy and stability of RTHS.
Kalman Filter Based Adaptive Control for Real-Time Hybrid Simulation with Nonlinear Substructure
Lecture Notes in Civil Engineering
Guo, Wei (editor) / Qian, Kai (editor) / Huang, Wei (author) / Ning, Xizhan (author)
International Conference on Green Building, Civil Engineering and Smart City ; 2022 ; Guilin, China
2022-09-08
9 pages
Article/Chapter (Book)
Electronic Resource
English
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