This paper proposes an approach to active fault tolerant control (AFTC) of a variable-speed wind turbine subject to actuator faults. The actuator faults in the turbine pitch system and generator system are considered in this work. Takagi-Sugeno (T-S) fuzzy modeling of the combined driver train, pitch and generator systems is proposed to account for nonlinearities in the dynamics. Moving horizon...

The purpose of this paper is to design congestion controllers for TCP/AQM networks using state predictive control and illustrate effectiveness of designed congestion controllers via SIMULINK and the ns-2 simulator. Linearized models of TCP/AQM networks can be described as linear systems with an information delay simply. Using state predictive control, these linear systems with an information de...

In this paper a robust nonlinear model predictive controller based on state estimation for rigid n-link robot is designed. The control law is based on prediction model, which is carried out via Taylor series expansion. The optimal control is computed directly from the minimization of receding horizon cost function. There is no need to an online optimization. A disturbance observer is designed t...

This paper presents a decentralized observer-based robust model predictive control strategy for a class of distributed networked systems. The overall system is composed of a number of interconnected nonlinear subsystems with time-varying transmission delays. Time delays are appeared in distributed subsystems due to the information transmission in the communication networks. A decentralized cont...

This paper proposes an integrated actuator and sensor active fault-tolerant model predictive control (FTMPC) scheme. In this scheme, fault detection (FD) is implemented by using a set-valued observer, fault isolation (FI) is done by set manipulations and faulttolerant control (FTC) is carried out through the design of a robust model predictive control (MPC) law. In this paper, a set-valued obse...

This paper addresses the development of an efficient numerical output feedback robust model predictive controller for open-loop stable systems. Stability of the closed loop is guaranteed by using an infinite horizon predictive controller and a stable state observer. The performance and the computational burden of this approach are compared to a robust predictive controller from the literature. ...

A cascaded deadbeat predictive control strategy with online disturbance compensation is proposed for a three-phase interleaved boost converter in this paper. The topology of the symmetric, so inner loop controller also designed symmetrically. For purpose realizing error-free tracking reference value, method adopted and outer loops Luenberger observers, which are to estimate compensate disturban...

This paper proposes an improved predictive position control (IPPC) method based on the disturbance observer (DOB) for linear synchronous motor (LSM) to enhance tracking accuracy and robustness against parameter mismatches load disturbance. A soft constraint containing difference between errors their exponential convergence trajectory is developed cost function improve accuracy. Moreover, IPPC e...