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Full-Text Articles in Engineering
Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong
Mouse Type Ballbot Identification And Control Using A Convex-Concave Optimization, Sudchai Boonto, Surapong Puychaisong
Journal of Marine Science and Technology
This paper shows how to identify and control a mouse type Ballbot. The Ballbot is an unstable complex system. Using the first principle law to model the robot is not accurate enough. An identification method is proposed. The model is transformed to be MIMO state space model and using a convexconcave optimization to design a robust PI+phase-lead controller. Experiments on a design Ballbot are presented. It turns out that an identification model of Bollbot and a PI+phase-lead controller design framework is suitable for using to control a Ballbot
Experimental Nonlinear Modeling Of A Rotating Machine With An Oil Film Bearing, Chiou-Fong Chung, Pi-Cheng Tung, Chiang-Nan Chang
Experimental Nonlinear Modeling Of A Rotating Machine With An Oil Film Bearing, Chiou-Fong Chung, Pi-Cheng Tung, Chiang-Nan Chang
Journal of Marine Science and Technology
In this study the system identification method is applied to obtain a nonlinear equation for an oil film rotating system. The centrifugal force induced by an unbalanced mass is used as the input signal for identification, and the phase between the input signal and the measured output vibration amplitude is calculated to perform the identification. Stability analysis and system performance are evaluated by using the root locus and the Floquet-Liapunov theorem. Based on the model, the oil whirl of the journal bearing can be predicted. A comparison between the simulation results and some experimented data shows the feasibility of the …
Spherical Surface Vibration Identification By Spherical Holography And Acoustic Intensity, Jen-Chieh Lee
Spherical Surface Vibration Identification By Spherical Holography And Acoustic Intensity, Jen-Chieh Lee
Journal of Marine Science and Technology
This study presents the capabilities of spherical surface vibration identification by using spherical acoustical holography and acoustic intensity measurement. The spherical holographic technique reconstructs the surface particle velocity from the acoustic pressure on the hologram. The acoustic pressure can be calculated from acoustic intensity measurement. The results of computer simulation show that, based on one direction acoustic intensity measurement only, spherical surface vibration can be identified from spherical holographic techniques.