Title :
Anti-sway control for overhead crane
Author :
Prommaneewat, Kitichoke ; Roengruen, Prapas ; Kongratana, Viriya
Author_Institution :
Kasetsart Univ., Bangkok
Abstract :
The models of overhead crane system have been studied in many regulation methods; hence bring about the variation parameter. However, there are have the similar conjecture of angular velocity (thetas dot) in the mathematics models of pendulum system. The angular velocity can be deduced to be zero to perform the simply system as the linear equation form. In this paper, the different direction of mathematical analysis of an overhead crane model was study what the angular velocity (thetasdot) was set as in the same value of natural angular velocity (omegan) instead of neglected to return this values. These equations are still having the linear equation properties for the state space equation. The purpose of this study is to reduce the error of controller design to give the equation to be close to the real system. A design recommendation for optimal asymptotic linear quadratic (LQ) controllers with fixed gain and when follow to changed mass load are present to improve the stabilities. The results show the over shoot value was diminished. And, the extended gain values have less than the previous values of calculations. Whereas, the period of time of the system descended to the steady state have the same value. Which give the advantage to obviate the problem of over feed extended gain to the system.
Keywords :
Riccati equations; angular velocity control; asymptotic stability; control system synthesis; cranes; linear algebra; linear quadratic control; mathematical analysis; state-space methods; algebraic Riccati equation; angular velocity; antisway control; controller design error; linear equation; mathematical analysis; optimal asymptotic linear quadratic controllers; overhead crane system; pendulum system; stability; state space equation; Angular velocity; Control systems; Cranes; Equations; Error correction; Mathematical analysis; Mathematical model; Mathematics; Optimal control; State-space methods; Algebraic Riccati equation; Lagrangian Dynamics; Linear Quadratic (LQ) Controller; Pendulum;
Conference_Titel :
Control, Automation and Systems, 2007. ICCAS '07. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-6-2
Electronic_ISBN :
978-89-950038-6-2
DOI :
10.1109/ICCAS.2007.4406668