This paper presents an application of the artificial intelligent search technique to find parameters optimization of power system stabilizer (PSS) considering proportional-integral-derivative controller (PID) for a multi-machine power system. Gain settings of PID PSS which improve damping frequency of system are optimized by minimizing an objective function using the artificial intelligent sear...

This work presents hysteresis control applied to UXE-type inverter topology with a PI (Proportional Integral) controller, where the gains are derived by Particle Swarm Optimization (PSO). The investigated UXE can generate thirteen-level output voltage waveform, which results in lower switching losses. It boost 1.5 times input DC source voltage. Satisfactory operation is ensured employing twelve...

this paper presents a sensorless system drive on primary flux oriented control (pfoc) and secondary flux oriented control (sfoc) for the linear induction motor (lim) with taking into account end effect. extended kalman filter (ekf) is applied to estimate lim speed by measuring motor voltages and currents. in order to achieve desirable dynamic and robustness motor performance instead of traditio...

In order to optimize the parameters of fractional order PID controller of complex system, an adaptive particle swarm optimization (PSO) method is proposed to realize the parameters adjustment. In this algorithm, the tuning particle population is divided into three subgroups firstly, and through introducing the swarm-aggregation degree factor and the evolution speed factor of particle, dynamical...

This study present the optimal design of OFD (OFD) controller for static synchronous compensator (STATCOM) connected to a power system, in order to increase the damping of low frequency electromechanical oscillations. The design process is converted to an optimization problem with the time domain-based objective function which is solved by a Quantum-behaved Particle Swarm Optimization (QPSO) te...

In this paper, a design method for a robust PI/PID controller for fuzzy parametric uncertain systems is proposed. An uncertain Linear Time Invariant (LTI) system with fuzzy coefficients is referred as fuzzy parametric uncertain system. The fuzzy coefficients are approximated by intervals (crisp sets) using the nearest interval approximation approach to obtain an interval system. Further, a robu...

The Particle Swarm Optimized (PSO) fuzzy controller has been proposed for indirect vector control of induction motor. In this proposed scheme a Neutral Point Clamped (NPC) multilevel inverter is used and hysteresis current control technique has been adopted for switching the IGBTs. A Mamdani type fuzzy controller is used in place of conventional PI controller. To ensure better performance of fu...

Received Apr 5, 2017 Revised May 20, 2017 Accepted Jun 15, 2017 In this study, an optimal meta-heuristic optimization algorithm for load frequency control (LFC) is utilized in two-area power systems. This metaheuristic algorithm is called harmony search (HS), it is used to tune PI controller parameters (Kp, Ki) automatically. The developed controller (HSPI) with LFC loop is very important to mi...

Chaotic particle swarm optimization (CPSO) is a newly developed optimization technique which combines the benefits of particle swarm optimization (PSO) and the chaotic optimization. This combination aims at avoiding the premature convergence of the PSO and the shortcomings of the chaotic optimization, in particular, the slow searching speed and the low accuracy when applied in optimizing a larg...