Present study consists the design of an optimal state feedback controller for our USM Underwater Glider (USMGlider). The glider mathematical model for motion control is obtained using MATLAB System Identification Toolbox, where ballast pumping rate is an input signal to the system. Different parameters were observed independently, the pitching angle, and the depth. Two different models were obt...

The linear quadratic regulator (LQR) controller is used to enhance the low voltage ride through (LVRT) of doubly-fed induction generator based wind turbines (DFIG-WT). A heuristic optimization method, which is MVMO, is used for optimal design of the LQR weighting matrices Q and R. The objective function of the optimization problem is to minimize the peak short-circuit current and the associated...

In this paper, a new analytical method to find a near-optimal high gain controller for the non-minimum phase affine nonlinear systems is introduced. This controller is derived based on the closed form solution of the Hamilton-Jacobi-Bellman (HJB) equation associated with the cheap control problem. This methodology employs an algebraic equation with parametric coefficients for the systems with s...

Optimal feedback solutions to the in nite horizon LQR problem with state and input constraints based on receding horizon real-time quadratic programming are well known. In this paper we develop an explicit solution to the same problem, eliminating the need for realtime optimization. A suboptimal strategy, based on a suboptimal choice of a nite horizon and imposing additional limitations on the ...

25 ABSTRACT This paper presents a comparative assessment of modern and intelligent controllers based on time response specification performance for a yaw control of an aircraft system. The dynamic modeling of yaw control system is performed and an autopilot that controls the yaw angle of an aircraft is designed using two controller design methods. The mathematical model of the system is derived...

Wide-area control (WAC) has been shown to be an effective tool for damping low-frequency oscillations in power systems. In the current state of art, WAC is challenged by two main factors namely, scalability of design and complexity of implementation. In this paper we present a control design called control inversion that bypasses both of these challenges using the idea of clustering. The basic ...

Design of optimal distributed controllers with a priori assigned localisation constraints is a difficult problem. Alternatively, one can ask the following question: given a localised distributed exponentially stabilising controller, is it inversely optimal with respect to some cost functional? We study this problem for linear spatially invariant systems and establish a frequency domain criterio...

A nonlinear optimal controller with a fuzzy gain scheduler has been designed and applied to a Line-Of-Sight (LOS) stabilization system. Use of Linear Quadratic Regulator (LQR) theory is an optimal and simple manner of solving many control engineering problems. However, this method cannot be utilized directly for multigimbal LOS systems since they are nonlinear in nature. To adapt LQ controllers...

This paper presents investigations into the development of linear quadratic regulator (LQR) robust control of a flexible link manipulator. The dynamic model of the system is developed using a finite element methods (FEM). The problems of a flexible link manipulator are uncertainties and parametric nonlinearities. Previous researches have fathom around control methods for the system, few present...