Output Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer
In this paper, an output feedback controller based on a novel sampled-data nonlinear extended state observer (SDNLESO) is proposed for an active suspension electro-hydraulic actuator (ASEHA) system to address the heavy nonlinearities, model uncertainties and sampled-data behavior. The designed contr...
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2020
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oai:doaj.org-article:261cd6ccd41f47b8a686fdc4d4d834042021-11-19T00:06:26ZOutput Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer2169-353610.1109/ACCESS.2020.3008734https://doaj.org/article/261cd6ccd41f47b8a686fdc4d4d834042020-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9139210/https://doaj.org/toc/2169-3536In this paper, an output feedback controller based on a novel sampled-data nonlinear extended state observer (SDNLESO) is proposed for an active suspension electro-hydraulic actuator (ASEHA) system to address the heavy nonlinearities, model uncertainties and sampled-data behavior. The designed controller only requires little prior knowledge about the controlled system for the purpose of position tracking. The SDNLESO, integrating a novel nonlinear extended state observer and an output predictor, is developed to simultaneously and continuously estimate the unmeasurable states and total disturbance for an error dynamic system rather than the original ASEHA system, where the actual discrete displacement tracking error between measurement output and the reference signal serves as the observer input. Then, a compensated controller is synthesized based on the obtained estimates, which is robust against the matched and mismatched disturbances of the system while being able to ensure an expected transient tracking performance and final tracking accuracy. By constructing weighted error system and using the geometric homogeneity theory, the SDNLESO convergence is proven, while the maximum allowable sampling period is derived theoretically for guiding the selection of the actual sampling interval. Moreover, the closed-loop system stability and the tracking error exponential convergence are guaranteed within the Lyapunov framework. Finally, a number of practical experiments are carried out on the ASEHA system test platform. The results show that the proposed control method is applicable and valid for nonlinear and uncertain ASEHA system despite the existence of a large actuator area ratio.Miaomiao DuDingxuan ZhaoTao NiLizhe MaSong DuIEEEarticleActive suspension elctro-hydraulic actuator (EHA)nonlinearityoutput feedbacksampled-data observeruncertaintyElectrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 8, Pp 128741-128756 (2020) |
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Active suspension elctro-hydraulic actuator (EHA) nonlinearity output feedback sampled-data observer uncertainty Electrical engineering. Electronics. Nuclear engineering TK1-9971 |
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Active suspension elctro-hydraulic actuator (EHA) nonlinearity output feedback sampled-data observer uncertainty Electrical engineering. Electronics. Nuclear engineering TK1-9971 Miaomiao Du Dingxuan Zhao Tao Ni Lizhe Ma Song Du Output Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer |
description |
In this paper, an output feedback controller based on a novel sampled-data nonlinear extended state observer (SDNLESO) is proposed for an active suspension electro-hydraulic actuator (ASEHA) system to address the heavy nonlinearities, model uncertainties and sampled-data behavior. The designed controller only requires little prior knowledge about the controlled system for the purpose of position tracking. The SDNLESO, integrating a novel nonlinear extended state observer and an output predictor, is developed to simultaneously and continuously estimate the unmeasurable states and total disturbance for an error dynamic system rather than the original ASEHA system, where the actual discrete displacement tracking error between measurement output and the reference signal serves as the observer input. Then, a compensated controller is synthesized based on the obtained estimates, which is robust against the matched and mismatched disturbances of the system while being able to ensure an expected transient tracking performance and final tracking accuracy. By constructing weighted error system and using the geometric homogeneity theory, the SDNLESO convergence is proven, while the maximum allowable sampling period is derived theoretically for guiding the selection of the actual sampling interval. Moreover, the closed-loop system stability and the tracking error exponential convergence are guaranteed within the Lyapunov framework. Finally, a number of practical experiments are carried out on the ASEHA system test platform. The results show that the proposed control method is applicable and valid for nonlinear and uncertain ASEHA system despite the existence of a large actuator area ratio. |
format |
article |
author |
Miaomiao Du Dingxuan Zhao Tao Ni Lizhe Ma Song Du |
author_facet |
Miaomiao Du Dingxuan Zhao Tao Ni Lizhe Ma Song Du |
author_sort |
Miaomiao Du |
title |
Output Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer |
title_short |
Output Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer |
title_full |
Output Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer |
title_fullStr |
Output Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer |
title_full_unstemmed |
Output Feedback Control for Active Suspension Electro-Hydraulic Actuator Systems With a Novel Sampled-Data Nonlinear Extended State Observer |
title_sort |
output feedback control for active suspension electro-hydraulic actuator systems with a novel sampled-data nonlinear extended state observer |
publisher |
IEEE |
publishDate |
2020 |
url |
https://doaj.org/article/261cd6ccd41f47b8a686fdc4d4d83404 |
work_keys_str_mv |
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1718420598834593792 |