Jim B. Vuong
Princeton University
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Publication
Featured researches published by Jim B. Vuong.
world automation congress | 2006
Philip Vuong; Asad M. Madni; Jim B. Vuong
This paper describes the implementation for a basic fuzzy logic controller in Very High speed integrated-circuit Hardware-Description Language (VHDL). It is not intended as an introduction to fuzzy logic control methodology; instead, we try to demonstrate the implementation of a fuzzy logic controller through the use of the VHDL code. Use of the hardware description language (HDL) in the application is suitable for being implemented into an Application Specific Integrated Circuit (ASIC) and Field Programmable Gate Array (FPGA). The main advantages of using the HDL approach are rapid prototyping, and allowing usage of powerful synthesis tools such as Xilinx ISE, Synosys, Mentor Graphic, or Cadence to be targeted easily and efficiently.
IEEE Sensors Journal | 2007
Asad M. Madni; Jim B. Vuong; Daniel C. H. Yang; Bin Huang
This paper presents a new design for a torque sensor based on a differential capacitive technology. An arc-radial mechanism is adopted to achieve high rotary/radial motion linearity. Kinematic model of this assembly is derived via vector loop equations. A nonlinearity index is formulated and practical kinematic constraints are imposed. Results show that very high kinematic linearity could be achieved by this new device
ieee sensors | 2005
Asad M. Madni; Robert K. Hansen; Jim B. Vuong; Roger F. Wells
A novel design is presented for a noncontacting torque sensor based on differential capacitive sensing principles. Although, developed initially for automotive applications, the sensor and sensing techniques presented are applicable to a wide range of applications in the industrial, transportation, and aerospace and defense industries
IEEE Sensors Journal | 2013
Bin Huang; Daniel C. H. Yang; Asad M. Madni; Jim B. Vuong
In this paper, we first derive an analytical formulation for capacitance prediction of multi-conductor and multi-dielectric system. A simulation model based on this formulation is then developed. By introducing the effective capacitance, we also propose a new methodology to measure the capacitance for multi-conductor system. Results from simulated model are compared with measurement data. It shows that our model can make reasonable predictions of capacitive sensors in the environment of multi-conductor/dielectrics. This simulated model is subsequently used to evaluate the input/output linearity of the radial displacement capacitance sensor that our newly proposed. It shows that the linearity coefficient between the input torsion angle and output differential capacitance of this new device is within 0.3% of perfect straight.
Archive | 2005
Asad M. Madni; Lynn E. Costlow; Roger F. Wells; Jim B. Vuong
Archive | 1999
Asad M. Madni; Jim B. Vuong
Archive | 1997
Asad M. Madni; Lawrence A. Wan; Robert K. Hansen; Jim B. Vuong
world automation congress | 2004
Asad M. Madni; Jim B. Vuong; Philip Vuong
Archive | 2004
Asad M. Madni; Jim B. Vuong; Philip Vuong
Archive | 2001
Asad M. Madni; Jim B. Vuong; Mitchell London