Abstract:
Multi-input Multi-output (MIMO) dc-dc converters are presently analysed as a substitute to
mainstream dc–dc converter topologies for their improved power density in multiload
applications. There are various power devices which provide multiple outputs of different
voltage levels. These voltage levels may be higher than or less than the source voltages based on
the required application. Multiple outputs through single or multi-source can be achieved by
connecting multiple dc-dc converters either in series or parallel with the requirement of poly inductors which happen to be bulky and difficult to integrate. For this drawback, design of a
Single Inductor Multi-Input Multi-Output (SIMIMO) dc-dc boost converter is to be reckoned.
Conventional transformer-based multi-port dc-dc boost converters are proposed to provide multi port configurations, but these have the disadvantage of high cost and large structure. SIMIMO
dc-dc converters have attracted tremendous research interests because of their ability to interface
and have centralized control of several renewable power sources i.e., multichannel PV modules,
hybrid PV and wind turbines simultaneously or individually, with the attributes of minimal cost, increased power density, high efficiency and reduced component count. In this literature,
SIMIMO boost converter is presented, analysed, controlled and simulated. This topology is
designed not only for compact structure but uses relatively less number of switches to allow regulation and control of all the outputs of the boost converter. The nonlinear characteristic of the topology is managed by exercising the design of nonlinear backstepping control technique. Furthermore, nonlinear backstepping control technique is implemented and provides efficient tracking performance. At the end, comparison study shows that nonlinear backstepping controlalgorithm performs well as compared to linear control algorithm. For both, the selection of design parameters results to be essential in ascertaining robustness with respect to load variationsand external disturbances. Inevitably, nonlinear control techniques are more interesting as they prove to be less sensitive and robust to design parameters
