<span lang="EN-US">Model predictive control (MPC) has recently been ranked as one of the best modern technics for high voltage direct current (HVDC) based on source converter (VSC) transmission systems, since it is a simple controller, understandable and can be implemented easily, also dynamic fast response. The classic double closed loop PI controller many disadvantages such difficulty i...

Disturbance rejection strategies are very useful for the robustness improvement of predictive control method. But they can only be used in modulated-based methods such as continuous set model (CS-MPC) and deadbeat control. This paper presents a robust current prediction based on total disturbance observer (TDO), which is applicable finite (FS-MPCC). In proposed method, directly part instead loo...

this paper presents fuzzy and conventional performance of model reference adaptive control(mrac) to control a dc drive. the aims of this work are achieving better match of motor speed with reference speed, decrease of noises under load changes and disturbances, and increase of system stability. the operation of nonadaptive control and the model reference of fuzzy and conventional adaptive contr...

wind energy today, has attracted widespread interest from among a variety of sources of renewable energy in the world. owing to the increasing demand for production of electrical energy for electricity networks by using wind power, it is essential that wind power plants are actively incorporated in the network’s performance using an appropriate control system. in general, these wind power plant...

in this paper, a new t-s fuzzy hyperbolic delay model for a class of nonlinear systems with time-varying delay, is presented to address the problems of stability analysis and feedback control. fuzzy controller is designed based on the parallel distributed compensation (pdc), and with a new lyapunov function, delay dependent asymptotic stability conditions of the closed-loop system are derived v...

a fault-tolerant control (ftc) methodology has been presented for nonlinear processes being imposed by control input constraints. the proposed methodology uses a combination of feedback linearization and model predictive control (flmpc) schemes. the resulting constraints in the transformed process will be dependent on the actual evolving states, making their incorporation in the design context ...