This paper studies longitudinal vehicle following problem, where two control strategies i.e. LQR optimal synthesis and a novel quasi-linear controller are adopted for a linearized vehicle model. In case of LQR, the results are enhanced by inclusion of a minimum order state observer and a feed-forward controller. Since the dynamics of the feedback linearized system correspond to a certain class ...

A weighted summation of Integral of Time Multiplied Absolute Error (ITAE) and Integral of Squared Controller Output (ISCO) minimization based time domain optimal tuning of fractional-order (FO) PID or PIλDμ controller is proposed in this paper with a Linear Quadratic Regulator (LQR) based technique that minimizes the change in trajectories of the state variables and the control signal. A class ...

The concluding chapter of this part of the book discusses several flight control implementation examples that integrate Matlab/Simulink within the open control platform (OCP) framework (described in Chapters 4 and 5). A public domain version of an F-16 aircraft model, available as a Simulink block with OCP distribution 1.0, is used for illustration. The first example is a linear quadratic regul...

This paper presents a systematic approach to the design of a robust dynamic state feedback controller using copies of the plant nonlinearities, which is based on the use of IQCs and minimax LQR control. The approach combines a linear state feedback guaranteed cost controller and copies of the plant nonlinearities to form a robust nonlinear controller.

This paper presents how to use feedback controller with helicopter dynamics state space model. A simplified analysis is presented for controller design using LQR of small scale helicopters for axial & forward flights. Our approach is simple and gives the basic understanding about how to develop controller for solving the stability of linear helicopter flight dynamics.

Unmanned aerial vehicle experience different atmospheric uncertainties during their flight. These uncertainties caused the problem in the stability and the desired performance of the system. This research paper structured to nullify the influence of atmospheric turbulence and ground effect on the UAV. The models of Dryden turbulence is used as it is one of the major disturbances affecting the U...

This paper deals with the design and evaluation of a robust controller for static VAR compensator (SVC) in remote industrial power systems to enhance the voltage profile for three-phase single cage induction motor (SCIM) loads. The controller design is based on H∞ theory to deal with uncertainties arising in industrial network modelling. The performance of the H∞ controller has been evaluated...

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 ...