Extended state observer(ESO)is heavily limited by the unknown disturbance and its derivative,which requires high observing gains to decrease estimating error,resulting in serious noise sensitivity.To modify the distur...Extended state observer(ESO)is heavily limited by the unknown disturbance and its derivative,which requires high observing gains to decrease estimating error,resulting in serious noise sensitivity.To modify the disturbance estimation characteristics encountered by the observer,the active compression extended state observer(ACESO)is proposed in this study.The ACESO decreases the bound of residual lumped disturbance and its derivative by actively compressing the initial lumped disturbance,without relying on prior knowledge.The stability constraint and convergence results of ACESO are analyzed and compared with ESO theoretically.The results show that the ACESO mitigates the trade-off between noise sensitivity and high-gain observation.Benefiting from active compression,the ACESO has substantially less noise sensitivity than the ESO,while obtaining the same and even better estimating performance than the ESO.In addition,the nonlinear ACESO is discussed,which automatically balances the contradiction between estimation and convergence.Simulations and experiments demonstrate the effectiveness of the proposed methods.展开更多
This work focuses on the production of a new composite material using Yellow River sediment and coal slime ash via alkali-activating method. XRD, FTIR and SEM/EDS were used to characterize the alkali-activated product...This work focuses on the production of a new composite material using Yellow River sediment and coal slime ash via alkali-activating method. XRD, FTIR and SEM/EDS were used to characterize the alkali-activated products and microstructure of the composite material. Compressive strength was tested to characterize the mechanical property of the composite material. It is found that the compressive strength of the Yellow River sediment-coal slime ash composites increases as the added Ca（OH）_2 content grows. The compressive strength increases fast in the early stage but slowly after 28 days. The strength of the composites can be significantly improved via the addition of small amount of Na OH and gypsum. The products（C-S-H, ettringite and CaCO_3）, especially C-S-H, make much contribution to the enhancement of strength. The highest strength of the composites can reach 14.4 MPa after 90 days curing with 5% Ca（OH）_2, 0.2% NaOH and 7.5% gypsum. The improved properties of the composites show great potential of utilizing Yellow River sediment for inexpensive construction materials.展开更多
基金supported by the Special Research Assistant Program,Chinese Academy of Sciences,China(E329691C21)Sichuan Science and Technology Program,China(2024NSFSC1481)National Natural Science Foundation of China(92471204,62271109).
文摘Extended state observer(ESO)is heavily limited by the unknown disturbance and its derivative,which requires high observing gains to decrease estimating error,resulting in serious noise sensitivity.To modify the disturbance estimation characteristics encountered by the observer,the active compression extended state observer(ACESO)is proposed in this study.The ACESO decreases the bound of residual lumped disturbance and its derivative by actively compressing the initial lumped disturbance,without relying on prior knowledge.The stability constraint and convergence results of ACESO are analyzed and compared with ESO theoretically.The results show that the ACESO mitigates the trade-off between noise sensitivity and high-gain observation.Benefiting from active compression,the ACESO has substantially less noise sensitivity than the ESO,while obtaining the same and even better estimating performance than the ESO.In addition,the nonlinear ACESO is discussed,which automatically balances the contradiction between estimation and convergence.Simulations and experiments demonstrate the effectiveness of the proposed methods.
基金Funded by the National Natural Science Foundation of China(No.51578108)the Ministry of Water Resource of the People’s Republic of China(No.201501003)
文摘This work focuses on the production of a new composite material using Yellow River sediment and coal slime ash via alkali-activating method. XRD, FTIR and SEM/EDS were used to characterize the alkali-activated products and microstructure of the composite material. Compressive strength was tested to characterize the mechanical property of the composite material. It is found that the compressive strength of the Yellow River sediment-coal slime ash composites increases as the added Ca（OH）_2 content grows. The compressive strength increases fast in the early stage but slowly after 28 days. The strength of the composites can be significantly improved via the addition of small amount of Na OH and gypsum. The products（C-S-H, ettringite and CaCO_3）, especially C-S-H, make much contribution to the enhancement of strength. The highest strength of the composites can reach 14.4 MPa after 90 days curing with 5% Ca（OH）_2, 0.2% NaOH and 7.5% gypsum. The improved properties of the composites show great potential of utilizing Yellow River sediment for inexpensive construction materials.
