Hybrid Floating Point/Logarithmic Number System processor is an Arithmetic Logic Unit with hybrid architecture in which its data computation involves Floating Point (FLP) and Logarithmic Number System (LNS). LNS processor has high performance but requires complicated hardware to support its function, especially LNS addition and subtraction. Therefore, hybrid processor is proposed to perform multiplication/division in LNS, addition/subtraction in FLP. Through merging FLP and LNS, data computation can be done in a faster, precise and less complicated way. The proposed research is a 32-bit Hybrid FLP/LNS processor, which involving 32-bit fixed point data format and 32-bit single precision FLP format. The EDA tools used in developing and simulating this project is based on Synopsys Design Compiler and Altera Quartus II, and the Hardware Description Language used is Verilog HDL. Logical synthesis of this project is done by using Synopsys Design Compiler and its area, timing and power are validated.
Power electronic components has the tendency to induce a non-linear signal called harmonic distortion. Without proper monitoring tools, harmonic distortion can harm sensitive electronic equipment, and in worse case scenarios, may lead to unreliable operation of controller and misalignment of motoring unit. This matter can be compromised by taking safety precaution, by identifying the level of harmonic rise in the electrical system. This paper presents analysis on different characteristics of harmonic signal using frequency distribution technique, namely Fourier transform (FT), and proposal of time-frequency distribution (TFD) technique, which is a short time Fourier transform (STFT). The novelty of utilizing STFT is the analyzed signal is represented in both time and frequency marginals, hence providing extra information of the spectral over the time. Simulation was carried out using MATLAB, by means the results consisting of the magnitude of multi-frequency components signal were represented in time-frequency representation (TFR). From the TFR, parameters such as instantaneous RMS fundamental voltage, V1RMS(t), instantaneous RMS voltage, VRMS(t), instantaneous total waveform distortion, VTWD(t), instantaneous total harmonic distortion, VTHD(t) and instantaneous total nonharmonic distortion, VTnHD(t) had been extracted. The performance of different harmonic signals such as normal, single-level harmonic, multi-level harmonic, short duration harmonic and interharmonic had been analyzed. The performance based on absolute percentage error (APE) index indicated average of 93% of correctness using 256 window length in STFT measurement.
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