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)
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)
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 uses the Ziegler-Nichols (Z-N) tuning method approach combined with adjustments of the Proportional-Integral-Derivative (PID) gain parameters to achieve satisfactory improvement in the open-loop Perturb-and-Observe (P&O) maximum power point tracking (MPPT) performance of a grid-connected solar photovoltaic (PV) system. Various modes of the(More)
In this work primary control loop of the microgrid (MG) hierarchy is implemented by decomposing converter voltage and current into two oppositely rotating reference frames. The double Synchronous reference frame method is used with a filter-based extraction to yield values of each sequence component. A distributed finite control set-model predictive control(More)
This paper proposes a methodology for configuring hybrid solar-wind-diesel-energy systems at minimum cost and minimum dumped load. An iterative optimisation technique has been developed to calculate, the optimum system configuration to achieve minimum hours of loss of power supply and minimum annualized cost of system (ACS). The decision variables included(More)