46 research outputs found
LMI Based design approach for the Stabilization and Tracking of a 3-DOF Remote Controlled Helicopter, Modeled in TP form
Control of bank-to-turn missiles using a combination of first order and dynamic sliding mode control
Static network Access Scheduling and stabilization of Two Inverted Pendulums Spring Coupled Networked Control System
Simultaneous tracking and vibration control of flexible joint manipulator using Laguerre network based composite fast-slow MPC
H∞BASEDOBSERVER FOR DISTURBANCE COMPENSATION IN DECOUPLED TRMS USING LMI OPTIMIZATION
Twin Rotor MIMO System is a laboratory model of helicopter. In this paper, the problem of disturbance rejection in TRMS is dealt with. Using disturbance observers, without any additional sensors is an attractive method to attenuate the effects of disturbances as they are highly cost effective. This method uses a simple form of DOBs, which does not need to solve the plant model inverse, and uses H∞control method using LMIs to design the Q-filter in the DOB. The estimation capability of DOB is verified using simulation results in frequency domain as well as in time domain
AN H<inf>∞</inf> based observer for disturbance rejection in TRMS decoupled with hadamard weights using LMI optimization
Global asymptotic stabilization of second-order nonlinear systems by inverse optimal control
Two Degree of Freedom Controller Design by AGTM\AGMP Matching Method for Time Delay Systems
AbstractThis paper proposes the design of a general Two Degree Of Freedom (2-DOF) controller for time delay systems using a novel method which combines model order reduction, approximate model matching concepts as well as optimization techniques. The desired spectrum is embodied in the form of a transfer function which can be constructed from a set of time domain specifications. The problem of finding the parameters of the 2-DOF controller is formulated as that of obtaining the solution of a set of non-homogeneous linear equations. These set of non-homogeneous linear equations is obtained by using Approximate Generalized Time Moments (AGTM) matching concept, where closed loop response at certain frequency points in s-plane is matched with that of the desired model response. Using genetic algorithm optimum selection of frequency points (expansion points) in s-plane are obtained, which results in an optimum solution of controller parameters. This leads to a high degree of matching of the closed loop response with that of the desired model. The proposed method not only ensures the stability of the closed loop system with a 2-DOF controller but also satisfies the required performance criteria. The developed method does not pose any restriction on either the order of the model or on the structure/order of the controller transfer function. Moreover, this method is computationally simple and easy to implement. Simulation results demonstrate the effectiveness of the proposed method
