Centralized and Decentralized Controller Design for FGS Using Linear and Nonlinear Model

Author(s):  
Ramin Zaeim ◽  
M.A. Nekoui
2017 ◽  
Vol 55 (11) ◽  
pp. 1665-1685 ◽  
Author(s):  
M. Sofian Basrah ◽  
Efstathios Siampis ◽  
Efstathios Velenis ◽  
Dongpu Cao ◽  
Stefano Longo

2013 ◽  
Vol 365-366 ◽  
pp. 784-787 ◽  
Author(s):  
Nguyen Quang Hoang ◽  
Soon Geul Lee

In this paper, five controllers including linear and nonlinear ones for an underactuated overhead crane are derived based on the passivity of the system. The total energy of the system and its square are used in Lyapunov candidate function to design controllers. The equilibrium point of the closed loop is proven to be asymptotically stable by the Lyapunov technique and LaSalle invariance theorem. In addition, the optimal linear controller is also combined to force the swing angle to converge fast to zero by reaching destination of the trolley. Numerical simulations are carried out to evaluate the controllers.


2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Hua Geng ◽  
Geng Yang

Linear controllers have been employed in industrial applications for many years, but sometimes they are noneffective on the system with nonlinear characteristics. This paper discusses the structure, performance, implementation cost, advantages, and disadvantages of different linear and nonlinear schemes applied to the pitch control of the wind energy conversion systems (WECSs). The linear controller has the simplest structure and is easily understood by the engineers and thus is widely accepted by the industry. In contrast, nonlinear schemes are more complicated, but they can provide better performance. Although nonlinear algorithms can be implemented in a powerful digital processor nowadays, they need time to be accepted by the industry and their reliability needs to be verified in the commercial products. More information about the system nonlinear feature is helpful to simplify the controller design. However, nonlinear schemes independent of the system model are more robust to the uncertainties or deviations of the system parameters.


1995 ◽  
Vol 3 (1) ◽  
pp. 132-143 ◽  
Author(s):  
J. Ackermann ◽  
J. Guldner ◽  
W. Sienel ◽  
R. Steinhauser ◽  
V.I. Utkin

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