One of the best flexible AC transmission system (FACTS) is unified power flow controller (UPFC). As it gets more benefit from both real and reactive transfer, used in for controlling transmitted power. The UPFC controls on side system. When as well set tries to follow command by using proportional integral (PI) controller. But some systems PI controllers cannot produce proper due oscillations. ...

This article <span>addresses a variety of power quality concerns, including voltage sag and swell, surges, harmonics, so on, utilizing dynamic restorer (DVR). The proposed controller for DVR is proportional plus integral (PI) controller. Two methods are used tuning the parameters PI controller, trial error intelligent optimal method. utilized method particle swarm optimization (PSO) Resul...

In this article, Load Frequency Control (LFC) of three area unequal interconnected thermal, wind and Hydro power generating units has been developed with ProportionalIntegral (PI) controller under MATLAB/SIMULINK environment. Further, the PI controller gains values that optimized using trial and error method with two different objective functions, namely the Integral Time Square Error (ITSE) an...

this paper proposes a novel hybrid algorithm namely apso-bfo which combines merits of bacterial foraging optimization (bfo) algorithm and adaptive particle swarm optimization (apso) algorithm to determine the optimal pid parameters for control of nonlinear systems. to balance between exploration and exploitation, the proposed hybrid algorithm accomplishes global search over the whole search spa...

In this paper, a novel tuning technique for the current and speed controllers of the Brushless DC (BLDC) motor derive system is presented. The parameters of PI controllers in the inner current control loop and outer speed control loop which vary with the operating conditions such as variation of temperature and saturation phenomena or load torque changing of the drive are adjusted in order to m...

Sensitivity and Robustness is the primary issue while designing the controller for non-linear systems. One of the performance objectives for controller design is to keep the error between the controlled output and the set-point as small as possible. A comparison between Evolutionary Algorithms namely GAs (Genetic Algorithms), and Swarm Intelligence, i.e., PSO (Particle Swarm Optimization) and B...

-In this paper, a simple and robust proportional-integral (PI) controller has been proposed for load frequency control (LFC) in multi-area power systems. The proposed control design, called PSOLMI, benefits from the robust performance of the H∞ control, expressed in terms of linear matrix inequalities (LMIs), and the optimization capabilities of the particle swarm optimization algorithms, simul...

Abstract A brushless DC (BLDC) motor is synchronous with trapezoidal/square wave counter-electromotive force, which a typical example of highly coupled nonlinear systems. In industrial control, BLDC drive usually uses proportional–integral (PI) controller to control the speed, but it very difficult adjust scale factors. this study, we present particle swarm algorithm-tuned fuzzy logic-PI (PF-PI...

In this paper, Particle Swarm Optimization (PSO) based Proportional plus Integral (PI) controller has been presented for the Load Frequency Control (LFC) system of an interconnected power system. The power system comprises multi-source power generation which is more pragmatic. The controller gains have been optimized using an efficient PSO technique. The dynamic responses have been obtained by ...

This paper propose an optimal tuning method for fractional PI controller. The method consist of minimizing Integral Time Absolute Error (ITAE) performance index criterion. The fractional PI controller are achieved by diffusive representation and the optimum setting of fractional controller parameters are reached by using conventional optimization algorithm. An example of application is presente...