Two-stage controller design with integral action and decoupling

2002 ◽  
Author(s):  
A.N. Gundes ◽  
M.G. Kabuli
Keyword(s):  
Controller Design ◽  
Two Stage ◽  
Integral Action

Reliable decentralized integral-action controller design

2001 ◽  
Vol 46 (2) ◽  
pp. 296-301 ◽  
Author(s):  
A.N. Gundes ◽  
M.G. Kabuli
Keyword(s):  
Controller Design ◽  
Integral Action

Dynamic Modeling and Robust Controller Design of a Two-Stage Parallel Cable Robot

2005 ◽  
Vol 13 (4) ◽  
pp. 385-399 ◽  
Author(s):  
So-Ryeok Oh ◽  
Kalyan K. Mankala ◽  
Sunil K. Agrawal ◽  
James S. Albus
Keyword(s):  
Dynamic Modeling ◽  
Controller Design ◽  
Robust Controller ◽  
Two Stage ◽  
Cable Robot ◽  
Robust Controller Design

scholarly journals Two-channel decentralized integral-action controller design

2002 ◽  
Vol 47 (12) ◽  
pp. 2084-2088 ◽  
Author(s):  
A.N. Gundes ◽  
A.B. Ozguler
Keyword(s):  
Controller Design ◽  
Integral Action

Two-Stage Feedback Control Design for a Class of Linear Discrete-Time Systems With Slow and Fast Modes

2015 ◽  
Vol 137 (8) ◽  
Author(s):  
Verica Radisavljevic-Gajic
Keyword(s):  
Time Scales ◽  
Discrete Time ◽  
Controller Design ◽  
Feedback Controller ◽  
Two Stage ◽  
Stage Design ◽  
Design Algorithm ◽  
Discrete Time Systems ◽  
Two Stage Design ◽  
Time Systems

In this paper, we first review the new algorithm for the two-stage feedback controller design of linear discrete-time systems, and then provide conditions for its applicability. The design algorithm is specialized and simplified for a class of linear systems with slow and fast modes (multitime scale systems or singularly perturbed systems). The proposed design significantly reduces computational full-state feedback design requirements and provides independent and accurate feedback controller design techniques in slow and fast time scales. We present also conditions needed for applicability of the proposed two-stage design in two time scales. The power of the two-stage design lies in the fact that different types of controllers can be designed for different subsystems using the corresponding feedback gains obtained by performing calculations only with the subsystem (reduced-order) matrices.

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