Browsing by Author "Wu, TY"

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Computer support learning environment for inductive reasoning: Collaboration vs. database
(2000-06-01)
Wu, TY
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Horng, RY
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交大名義發表
;
工業工程與管理學系
;
National Chiao Tung University
How experience shapes reasoning skill: The role of collaboration and explanation
(2000-06-01)
Horng, RY
;
Wu, MH
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Wu, TY
;
交大名義發表
;
工業工程與管理學系
Simulations of an internal model-based active noise control system for suppressing periodic disturbances
(1998-01-01)
Bai, MR
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Wu, TY
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機械工程學系
;
Department of Mechanical Engineering
This study proposes an active noise control algorithm using the internal model principle. The structure of the noise is built in the transfer function of the controller in the unity feedback configuration. This method is particularly effective in suppressing periodic disturbance in spite of its simplicity. Perfect disturbance rejection at selected frequencies is achieved by the infinite loop gain of the system. A simulation was performed to investigate the internal model-based algorithm. The guidelines of choosing the control parameters with reference to a robust stabilization theory are summarized.
Simulations of an internal model-based active noise control system for suppressing periodic disturbances
(1998-01-01)
Bai, MR
;
Wu, TY
;
機械工程學系
;
Department of Mechanical Engineering
This study proposes an active noise control algorithm using the internal model principle. The structure of the noise is built in the transfer function of the controller in the unity feedback configuration. This method is particularly effective in suppressing periodic disturbance in spite of its simplicity. Perfect disturbance rejection at selected frequencies is achieved by the infinite loop gain of the system. A simulation was performed to investigate the internal model-based algorithm. The guidelines of choosing the control parameters with reference to a robust stabilization theory are summarized.
Study of the acoustic feedback problem of active noise control by using the l(1) and l(2) vector space optimization approaches
(1997-08-01)
Bai, MSR
;
Wu, TY
;
交大名義發表
;
機械工程學系
;
National Chiao Tung University
This study attempts to explore the acoustic feedback problem that is frequently encountered in feedforward active noise control (ANC) structure from the standpoint of control theories. The analysis is carried out on the basis of the Youla's parametrization and the l(1)-norm and l(2)-norm vector space optimization. The ANC problem is formulated as a model matching procedure and is solved via linear programming in the dual vector space. These methods alleviate the problems caused by the nonminimum phase (NMP) zeros of the cancellation path. The ANC algorithms are implemented by using a digital signal processor. Various types of noises were chosen for validating the developed algorithms. The proposed methods are also compared with the well-known filtered-u least-mean square (FULMS) method, The experimental results show that the acoustic feedback problem significantly degrades the performance and stability of the ANC system regardless which method is used. Insights into the difficulties due to acoustic feedback are addressed along the line of control theories. (C) 1997 Acoustical Society of America.