Current Issue : October - December Volume : 2017 Issue Number : 4 Articles : 5 Articles
A classic second-order coupled-capacitor Chebyshev bandpass filter using resonator of tunable active capacitor and inductor is\npresented. The low cost and small size of CMOS active components make the bandpass filter (BPF) attractive in fully integrated\nCMOS applications.The tunable active capacitor is designed to compensate active inductorââ?¬â?¢s resistance for resistive match in the\nresonator. In many design cases, more than 95% resistive loss is cancelled. Meanwhile, adjusting design parameter of the active\ncomponent provides BPF tunability in center frequency, pass band, and pass band gain. Designed in 1.8V 180 nanometer CMOS\nprocess, the BPF has a tuning frequency range of 758ââ?¬â??864MHz, a controllable pass band of 7.1ââ?¬â??65.9MHz, a quality factor ...
With recent advancements, micro-object contactless conveyers are becoming an essential\npart of the biomedical sector. They help avoid any infection and damage that can occur due to\nexternal contact. In this context, a smart micro-conveyor is devised. It is a Field Programmable Gate\nArray (FPGA)-based system that employs a smart surface for conveyance along with an OmniVision\ncomplementary metal-oxide-semiconductor (CMOS) HD camera for micro-object position detection\nand tracking. A specific FPGA-based hardware design and VHSIC (Very High Speed Integrated\nCircuit) Hardware Description Language (VHDL) implementation are realized. It is done without\nemploying any Nios processor or System on a Programmable Chip (SOPC) builder based Central\nProcessing Unit (CPU) core. It keeps the system efficient in terms of resource utilization and power\nconsumption. The micro-object positioning status is captured with an embedded FPGA-based\ncamera driver and it is communicated to the Image Processing, Decision Making and Command\n(IPDC) module. The IPDC is programmed in C++ and can run on a Personal Computer (PC) or\non any appropriate embedded system. The IPDC decisions are sent back to the FPGA, which\npilots the smart surface accordingly. In this way, an automated closed-loop system is employed\nto convey the micro-object towards a desired location. The devised system architecture and\nimplementation principle is described. Its functionality is also verified. Results have confirmed\nthe proper functionality of the developed system, along with its outperformance compared to\nother solutions....
Oscillation-based testing (OBT) has been proven to be a simple, yet effective VLSI test for numerous circuit types. This paper\ninvestigates, for the first time, the application of OBT verification for second generation current conveyors (CCIIs). The OBT is\nformed by connecting theCCII into a simpleWien bridge oscillator andmonitoring both the amplitude and frequency of oscillation.\nThefault detection rate, taking into account both the open and short circuit fault simulation analyses, indicates 96.34...
Photovoltaic (PV) system output electricity is related to PV cells� conditions, with the\nPV faults decreasing the efficiency of the PV system and even causing a possible source of\nfire. In industrial production, PV fault detection is typically laborious manual work. In this\npaper, we present a method that can automatically detect PV faults. Based on the observation\nthat different faults will have different impacts on a PV system, we propose a method that\nsystematically and iteratively reconfigures the PV array until the faults are located based on the\nspecific current-voltage (I-V) curve of the (sub-)array. Our method can detect several main types of\nfaults including open-circuit faults, mismatch faults, short circuit faults, etc. We evaluate our methods\nby Matlab/Simulink-based simulation. The results show that the proposed methods can accurately\ndetect and classify the different faults occurring in a PV system....
This paper proposes a modified predictive direct torque control (PDTC) application-specific\nintegrated circuit (ASIC) of a motor drive with a fuzzy controller for eliminating sampling and\ncalculating delay times in hysteresis controllers. These delay times degrade the control quality and\nincrease both torque and flux ripples in a motor drive. The proposed fuzzy PDTC ASIC calculates\nthe statorââ?¬â?¢s magnetic flux and torque by detecting the three-phase current, three-phase voltage,\nand rotor speed, and eliminates the ripples in the torque and flux by using a fuzzy controller and\npredictive scheme. The Verilog hardware description language was used to implement the hardware\narchitecture, and the ASIC was fabricated by the Taiwan Semiconductor Manufacturing Company\nthrough a 0.18-Ã?¼m1P6M CMOS process that involved a cell-based design method. The measurements\nrevealed that the proposed fuzzy PDTC ASIC of the three-phase induction motor yielded a test\ncoverage of 96.03%, fault coverage of 95.06%, chip area of 1.81 Ã?â?? 1.81 mm2, and power consumption\nof 296 mW, at an operating frequency of 50 MHz and a supply voltage of 1.8 V...
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