this paper presents a simple model predictive control (mpc) approach to control the power injection system (pis) for renewable energy applications. a dc voltage source and a single-phase inverter that is connected to the grid by an lcl filter form the pis. grid voltage is considered a disturbance for the system. for eliminating this disturbance, a modified model is proposed. it is usual to cont...

In this paper, a new control scheme of an active boost rectifier has been presented. Proposed power control method uses a discretetime model of the converter to predict future behaviour for all possible voltage vectors. The most effective vector is chosen for next sampling period by minimizing a cost function. Presented Predictive Direct Power Control (P-DPC) scheme has been compared with class...

in this paper, a recurrent fuzzy-neural network (rfnn) controller with neural network identifier in direct control model is designed to control the speed and exhaust temperature of the gas turbine in a combined cycle power plant. since the turbine operation in combined cycle unit is considered, speed and exhaust temperature of the gas turbine should be simultaneously controlled by fuel command ...

Due to simplicity and convenience, Model Predictive Control, which consists in optimizing future decisions based on a pessimistic deterministic forecast of the random processes, is one of the main tools for stochastic control. Yet, it suffers from a large computation time, unless the tactical horizon (i.e. the number of future time steps included in the optimization) is strongly reduced, and la...