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...

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...

The paper presents a feedback control of Linear Quadratic Regulator (LQR) scheme for Selective Catalytic Reduction (SCR) process in combined-cycle (CC) power plants. The SCR process is to reduce NOx emission at the CC power plants, prior to venting into the atmosphere by decomposing process using Ammonia (NH3) at the SCR catalysts. This process can be considered as a nonlinear with time delay s...

In the present work a new controller called Particle Swarm Optimization (PSO) based state feedback gain (K) controller has been proposed for frequency regulation of a two area system and then its performance is compared with earlier designed controllers such as Linear Quadratic Regulator– Proportional Integral (LQR-PI) controller and Integral controller. The performance comparison has been done...

We present Extended LQR, a novel approach for locally-optimal control for robots with non-linear dynamics and non-quadratic cost functions. Our formulation is conceptually different from existing approaches, and is based on the novel concept of LQR-smoothing, which is an LQR-analogue of Kalman smoothing. Our approach iteratively performs both a backward Extended LQR pass, which computes approxi...

Progress in aircraft designs heavily depend on Automatic Flight Control System (AFCS). In this work a fuzzy sliding mode controller is designed as a supervisory controller in aircraft pitch control systems and different control strategies to model a pitch controller based on design a pitch angle control in autopilot are invistigated. A performance evaluation based on time response specification...

This paper proposes a polynomial chaos based numerical method providing an optimal controller for the linearquadratic regulator (LQR) problem when the parameters in the formulation are uncertain, i.e., a controller minimizing the mean value of the LQR cost function obtained for a certain distribution of the uncertainties which is assumed to be known. The LQR problem is written as an optimality ...

<p>A two-wheeled self-balancing robot (TWSBR) is an underactuated system that inherently nonlinear and unstable. While many control methods have been introduced to enhance the performance, there no unique solution when it comes hardware implementation as robot’s stability highly dependent on accuracy of sensors robustness electronic systems. In this study, a TWSBR controlled by embedded N...