ZMQ Software Systems (India)

In this paper a novel concept of event triggering control (ETC) for effective resource utilization is proposed for dc microgrid. Matched uncertainty elimination is possible through sliding mode control (SMC) itself as addressed in the literatures. This paper proposes a new approach for suppression of both matched and unmatched uncertainties in grid connected and islanded mode through an integral disturbance observer (IDO) which is designed with super twisting SMC to provide dual filtering phenomena pertaining to system perturbations. The IDO facilitates control algorithm to manage effective event counts during disturbance conditions. The proposed controller is designed in order to regulate DC bus voltage and enhance the microgrid capability to perform stable operation in presence of uncertainties. Chattering free finite time convergent SMC is designed with super twisting reaching law to obtain robust behavior of dc microgrid. Results are compared with power rate reaching SMC, Nonlinear disturbance observer (NDO) based controller and PI controller. In the proposed work event triggering condition is designed first time under super twisting reaching law. Comparative assessment is accomplished in lieu of demonstrating the superior performance of event trigger SMC through MATLAB/Simulink and Typhoon based controller hardware in loop (CHIL) platform.

Data analysis is one of the essential business needs of organizations to optimize performance. The data is loaded into data warehouse (DWH) using Extract, Transform and Load (ETL). Analytics is run on the DWH. The largest cost and execution time is associated with the ET part of this workflow. Recent approaches based on Hadoop, an open source Apache framework for data intensive scalable computing, provide an alternative for ET which is both cheaper and faster than commercial prevalent ETL tools. This paper presents a case study where experimental metric results have been presented in support of the claim. The reduction of cost makes it viable for small and large organizations alike and reduction in execution time makes it possible to provide online data services.