Abstract Particle swarm optimization algorithm (PSO) is suggested to discover fractional order PID (FOPID) controller optimal variables for a better performance of induction motor. This PSO designed handle multiple issues, due its ease application. A Closed Loop Quadratic Boost Converter Multilevel Inverter Fed Induction Motor (QBCMLIIM) system simulated earn reduced switching losses and THD by...

In this paper, a dynamic model of a piezo-actuator based on Coleman-Hodgdon (C-H) hysteresis model is considered. The hysteresis model is established by identification considering the particle swarm optimization (PSO) technique. The identified model is tested considering a classical PID controller in order to achieve a tracking control of nano-positioning system driven by piezoelectric actuator...

This paper  presents a nonlinear controller for a Distribution Static Compensator (DSTATCOM) of a microgrid incorporating the Distributed Generation (DG) units. The nonlinear control has been designed based on partial feedback linearization theory and Proportional-Integral-Derivative (PID) controllers try to adjust the voltage and trace the output. This paper has proposed a combination of a fuz...

This article presents the setting of the controller parameters using particle swarm optimization (PSO) and its application to the load frequency control (LFC) of a power system from several sources that have different production sources as hydropower, thermal and gas power plants. A controller (PID) proportional integral derivative is used for tuning and analysis of the proposed model. The opti...

Routers are vital during network congestion. All routers have input and output packet buffers. V<span lang="EN-US">Various congestion control strategies been suggested. Some controller-based proportional-integral derivative (PIDs) recently offered as active queue management (AQM) solutions to alleviate the deterioration of transmission protocol (TCP) system performance. However, time dela...

This paper proposes a novel tuning strategy for robust proportional-integral-derivative (PID) controllers based on the augmented Lagrangian particle swarm optimization (ALPSO). First, the problem of PID controller tuning satisfying multiple H∞ performance criteria is considered, which is known to suffer from computational intractability and conservatism when any existing method is adopted. In o...