DSpaceCRIS@UNITENhttp://dspace.uniten.edu.my/jspuiThe DSpace digital repository system captures, stores, indexes, preserves, and distributes digital research material.Fri, 18 Sep 2020 21:14:33 GMT2020-09-18T21:14:33Z5021- A low-cost first-order sigma-delta converter design and analysishttp://dspace.uniten.edu.my/jspui/handle/123456789/8027Title: A low-cost first-order sigma-delta converter design and analysis
Authors: Ya, M.L.; Khan, S.; Nordin, A.N.; Alam, A.H.M.Z.; Omar, J.; Al-Khateeb, K.A.S.; Islam, M.R.; Naji, A.W.
Abstract: This paper presents the design and analysis of an interface circuit for MEMS or biomedical sensor applications. This circuitry performs the function of an analog-to-digital converter. A first-order 1-bit sigma-delta (Σ-Δ) analog-to-digital converter is designed and simulated using Silterra 0.13μm CMOS process technology with power supply of 1.2V through Cadence. Then the circuit simulation results are transferred to MATLAB, in order to get the frequency domain power spectral density (PSD). The simulation results on noise and error analysis are compared with those from a traditional analog-to-digital converter to prove that sigma-delta is performing better in the case of weak signals acquisition. © 2011 IEEE.
Sat, 01 Jan 2011 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/80272011-01-01T00:00:00Z
- Adaptive neuro-fuzzy controller for grid voltage dip compensations of grid connected dfig-wecshttp://dspace.uniten.edu.my/jspui/handle/123456789/13041Title: Adaptive neuro-fuzzy controller for grid voltage dip compensations of grid connected dfig-wecs
Authors: Amin, I.K.; Nasir Uddin, M.; Hannan, M.A.; Alam, A.H.M.Z.
Abstract: This paper presents an adaptive neuro-fuzzy controller (NFC)to deal with grid voltage dip conditions for grid-connected operation of doubly fed induction generator (DFIG)driven wind energy conversion system (WECS). Due to the partial scale power converters, wind turbines based on DFIG are very sensitive to grid disturbances. Current saturation at the rotor side converter (RSC)and overvoltage at the dc-link are the major concerns of DFIG driven WECS during grid-voltage fluctuation. In synchronous reference frame, an oscillatory stator flux appears during voltage dip and it is difficult to suppress with conventional proportional-integral (PI)controllers considering nonlinear system dynamics. Therefore, an adaptive-network fuzzy inference system based NFC is proposed in this paper to handle the system uncertainties and minimize the effect of grid voltage fluctuations. During normal operation, the proposed controller aims to regulate the currents as demanded by the reference real and reactive power. Under voltage dip condition, the controllers adjust the positive sequence d-q axis current components both at the grid and rotor sides by supplying required reactive power to the grid. The negative sequence reference currents at rotor end actuate the demagnetization effect of minimizing the impact of voltage dips. The simulation results exhibit the proposed NFC performance through its robust control over the rotor side currents and bus voltage during both the voltage dip and normal operation. © 2019 IEEE.
Tue, 01 Jan 2019 00:00:00 GMThttp://dspace.uniten.edu.my/jspui/handle/123456789/130412019-01-01T00:00:00Z