model predictive controller is widely used in industrial plants. uncertainty is one of the critical issues in real systems. in this paper, the direct adaptive simplified model predictive control (smpc) is proposed for unknown or time varying plants with uncertainties. by estimating the plant step response in each sample, the controller is designed and the controller coefficients are directly ca...

The paper presents an investigation in to the effect of neural network predictive control of UPFC on the transient stability performance of a multimachine power system. The proposed controller consists of a neural network model of the test system. This model is used to predict the future control inputs using the damped Gauss-Newton method which employs ‘backtracking’ as the line search method f...

With an increase in power transfer, transient stability is increasingly becoming important for secure operation. With the advent of FACTS devices, the problem of transient stability is being addressed and efforts are under way to utilize the systems to their full capacity. The focus of this work is a neural network predictive controller for a versatile FACTs device, Unified Power Flow Controlle...

in direct torque control, the selection of an applied voltage vector is based on the measuredparameters at the beginning of the sampling period. the delay between the measurement and the application of the voltage vector is the origin of an extra torque ripple. in this paper, a new predictive controller is proposed for compensating this delay and reducing the torque ripple. the stator current i...

Generally Pressure process plant should be controlled in various applications such as Power plants, Chemical Industries, especially in boilers. There are controllers like PID, Model predictive controller, Fuzzy controller, and intelligent controller are used to control the pressure process. Here, the sliding mode controller is implemented to control and observe the pressure process, and then th...

In Korea, the technology of a load fo nuclear power plant has been being developed. automatic controller which is able to control temperature and axial power distribution was automatic controller is functionally divided identification algorithm and a model predictive con former transforms the nuclear reactor status into numerically. And the latter uses them and ge manipulated values such as two...

the interline power flow controller (ipfc) is a concept of the facts controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. this paper proposes a novel ipfc-based damping neuro-control scheme using pso for damping oscil la t i o ns in a power system to improve power system stability. the add i tion of a supplementary controll...

this paper introduces an indirect adaptive fuzzy sliding mode controller as a power system stabilizer for damping local and inter-area modes of oscillations of multi-machine power systems. this controller is designed based on the combination of sliding mode controller and the fuzzy logic systems. the fuzzy systems are used to approximate the unknown functions of power system model. generator sp...

A fuzzy logic- (FL-) based control technique for unified power flow controller (UPFC) to resolve the quality issues in transmission network is presented this paper. MATLAB/Simulink used design FL-based controllers shunt and series converters of UPFC, which validated on 4-bus system. In addition, performance suggested UPFC compared with PI (proportional integral), HC (hysteresis controller), MPC...