Optimal third-order sliding mode controller for dual star induction motor based on grey wolf optimization algorithm.

This paper introduces a novel approach for controlling a dual-star induction motor by combining third-order sliding mode control with the grey wolf optimization algorithm (TOSMC-GWO). The primary objective is to enhance motor performance by minimizing overshoot, rise time, settling time, overall response time, and steady-state error, while simultaneously mitigating unwanted oscillations in stator currents, rotor flux, and electromagnetic torque. Specifically, the proposed controller addresses the limitations of the indirect field-oriented control (IFOC) technique when using a classic sliding mode controller (IFOC-SMC).

Application of fractional-order synergetic-proportional integral controller based on PSO algorithm to improve the output power of the wind turbine power system.

It is noted that the traditional direct filed-oriented control (DFOC) is widely used in the field of electric power generation from wind due to its fast response dynamic, ease of implementation and simplicity, but this strategy is characterized by the presence of large ripples at the level of both active and reactive powers. This work presents a new algorithm for DFOC strategy of an asynchronous generator (AG) in a wind power (WP) system, which is based on the use of a new nonlinear controller called fractional-order synergetic control-fractional-order proportional-integral (FOSC-FOPI) controller, where the proposed technique parameters are calculated using the particle swarm optimization (PSO) strategy. It has been observed that the DFOC-FOSC-FOPI-PSO strategy is robust and works well in case of changing generator parameters.

Synergetic-PI controller based on genetic algorithm for DPC-PWM strategy of a multi-rotor wind power system.

This work designs a powerful new nonlinear control technique using synergetic control (SC), proportional-integral (PI) controller, and genetic algorithm (GA) for multi-rotor wind energy (MRWE) conversion systems, whereby an asynchronous generator (AG) is used to achieve optimal energy extraction. The direct power control (DPC) technique is used based on the proposed SC-PI-GA (SPI-GA) technique to control the AG-based MRWE system, where this new nonlinear control technique is used to achieve stable control characteristics under random changes in wind speed and to provide great robustness against modeling uncertainties. Moreover, the pulse width modulation (PWM) technique is used to control the AG inverter due to its simplicity and ease of implementation.