Johnson A. Asumadu

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An intelligent fuzzy logic inference pipeline for the control of a dc-dc buck-boost converter was designed and built using a semi-custom VLSI chip. The fuzzy linguistics describing the switching topologies of the converter was mapped into a look-up table that was synthesized into a set of Boolean equations. A VLSI chip–a field programmable gate array (FPGA)(More)
The critical sampling period depends on the natural angular frequency of the system, but it is very difficult to obtain for a real system. By modeling and simulation of the PV and DC-DC converter modules in the MATLAB/SIMULINK environment, the critical sampling period for an open-loop P&O MPPT grid-connected solar PV system has been determined, and the(More)
respectively. The other authors are undergraduate students, from the same department, who were vitally engaged with the design and implementation of this project. Abstract   This paper describes a system composed of hardware and software to allow an individual to create an electronic circuit using a web interface. The user interface would simulate an(More)
This paper presents a distributed finite control set model predictive control (DFCS-MPC) approach to control a microgrid with grid mode of operation. The micro-grid supplies a combination of balanced and unbalanced loads. Converters are controlled to feed current according to shared factors. All grid and micro-grid components are decomposed into positive(More)
This paper presents a novel method to reduce the Total Harmonics Distortion (THD) using adaptive filters. Least Mean Square (LMS) and Normalized Lest Mean Square (NLMS) were used as adaptation algorithms. Both of these algorithms gave a very good performance in terms of distortion reduction. Instead of focusing on specific harmonics as in other methods of(More)
Out-of-step prediction is an important requirement for reducing wide scale transient instability conditions in power systems. An intelligent technique for predicting out-of-step conditions amongst individual generators is presented. The method uses the wavelet energy of generator speed deviations in 3 cycles, after bus(es) and/or line(s) are tripped, to(More)
This paper proposed an adaptive Kalman filter to detect the voltage sag problem in power system, the state covariance matrix is changed through the simulation to enhance the Kalman filter in order to detect the amplitude changing of the fundamental component. In the proposed method, there is no need to estimate the noise covariance matrices, which is(More)