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- 저자 : Fengbo Wu (검색결과 2 건)
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Bo Wu,Jianting Zhou,Jingzhou Xin,Hong Zhang,Fengbo Wu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.8
In conventional buffeting analyses of flexible civil engineering structures, the differencesbetween the effects of longitudinal (u-) and vertical (w-) turbulence components were usuallyignored. This assumption could cause unpredictable errors and needs to be refined. Toimprove the accuracy of buffeting analyses, this paper proposes a framework combiningComputational Fluid Dynamics simulation and wind tunnel test to analyze the buffeting forcesconsidering the differences between turbulence components. First, the Aerodynamic AdmittanceFunctions (AAFs) with respect to u- and w- turbulence are numerically evaluated. Next, thetotal buffeting forces are experimentally measured. Finally, the numerical and experimentalresults are combined following a theoretical scheme to separate the effects of u- and wturbulence. Results show that u- and w- turbulence have different contributions to the buffetingforces, directly indicating the inaccuracy of the conventional assumption. In the turbulencefield investigated, the buffeting lift force at zero angle of attack (AoA) are all contributed fromthe w-turbulence, while the contribution from u-turbulence increase as AoA increases. Thisnumerical-experimental framework overcomes the limitations of the conventional method byquantitatively describing the different contributions of u- and w- turbulence.
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Yang Yang,Yuefei Wu,Fengbo Yang 제어·로봇·시스템학회 2022 International Journal of Control, Automation, and Vol.20 No.6
In this paper, an error-driven adaptive feedback control with an extended state observer (ANCESO) has been developed for the three-axis electrical-optical gyro-stabilized platform. The proposed controller takes into account not only the system parametric deviations as well as external disturbances via integrating adaptive nonlinear feedback tracking control and the extended state observer design. An improved error-driven nonlinear functions are constructed with feedback gain self-regulates to avoid the high gain chattering of the closed loop system. By integrating the fundamentally different working mechanisms of the approaches, the developed ANCESO strategy is able to preserve the theoretical performance results of both design approaches while overcoming their practical performance limitations. Comparative experimental results are obtained to validate the benefits and effectiveness of the proposed control strategy.
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