A novel adaptive sliding mode controller using neuro-fuzzy network based on adaptive cooperative particle sub-swarm optimization (ACPSSO) is presented in this article for nonlinear systems control. The proposed scheme combines the advantages of adaptive control, neuro-fuzzy control, and sliding...

Wind Energy Conversion System (WECS) based on Doubly Fed Induction Generator (DFIG) connected to the grid is subjected to high transient currents at rotor side and rise in DC-link voltage during voltage sag at stator/grid side. To secure power system operation wind turbines have to meet grid...

This paper treats the design and control of two hybrid source using supercapacitors, fuel cell, with and without batteries on the DC link. A fuel cell, as a slowest dynamic source in these systems (because of its auxiliaries) acts to supply the permanent energy. The supercapacitors, as a high...

This paper presents a wind-driven induction generator system with a hybrid controller, which combines the advantages of the integral–proportional and the sliding mode controllers. The proposed controller is designed to adjust the turbine speed to extract maximum power from the wind. The...

In this paper, a Field Programmable Gate Array (FPGA) based controller for single phase PWM boost rectifier is presented. The control is made up of an internal current control loop and external DC-link voltage control loop. The internal control loop allows active shaping of the line current and...

This paper deals with the problem of controlling energy generation systems including fuel cells (FCs) and interleaved boost power converters. The proposed nonlinear adaptive controller is designed using sliding mode control (SMC) technique based on the system nonlinear model. The latter accounts...