in this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (synrm) drive system is proposed. a combination of well-known adaptive input-output feedback linearization (aiofl) and adaptive backstepping (abs) techniques are used for speed tracking control of synrm. the aiofl controller is capable of estimating motor two-axis inductances ...

In this note we consider the question of whether an adaptive controller can converge to a non-adaptive stabilizing controller. Speciically, we show for a class of back-stepping controllers with adaptive tuning functions that the set of initial conditions in state and estimation parameter for which the estimation parameter converges to a parameter which produces a destabilizing controller can ha...

This paper deals with the application of Iterative Learning Control (ILC) to further improve the performance of teleoperation systems based on Smith predictor. The goal is to achieve robust stability and optimal transparency for these systems. The proposed control structure make the slave manipulator follow the master in spite of uncertainties in time delay in communication channel and model pa...

A continuous nonsingular fast terminal sliding mode (CNFTSM) control strategy with an automated double power reaching law is proposed to improve the performance of speed dynamic response and accuracy tracking for permanent magnet synchronous motor (PMSM) servo system. In pursuit robustness against system uncertainties, a finite-time convergent extended state observer (ESO) designed estimate ext...

This paper present a new method to determine the optimal tuning of the PID controller parameter of an AVR system using Modified particle swarm optimization (MPSO) algorithm. the AVR is not robust to variations of the power system parameters therefore, it is necessary to use PID controller To increase the stability and performance of the AVR system. Fast tuning of optimum PID controller paramete...

This note deals with the problem of designing an iterative learning control for uncertain systems. Given a linear time-invariant plant with multiplicative perturbations, a suucient condition for the convergence of the learning process for all the plant uncertainty is derived. Based on the obtained suucient condition, we show that the iterative learning control design can be reformulated as the ...

High performance and reliability are required for wind turbines to be competitive within the energy market. To capture their nonlinear behavior, wind turbines are often modeled using parameter-varying models. In this paper we design and compare multiple linear parameter-varying (LPV) controllers, designed using a proposed method that allows the inclusion of both faults and uncertainties in the ...

This research applied an intelligent controller for mobile satellite antenna tracking system design. The intelligent controller is with both the traditional PI and the fuzzy control methods. The antenna tracking and the stabilization loops were designed firstly according to the bandwidth and phase margin requirements. However, the performance would be degraded if the tacking loop gain is reduce...