Virtual Closed Loop Identification: A New Method for Low-Order H∞ Controller Design

2009 ◽  
Vol 42 (10) ◽  
pp. 314-319
Author(s):  
Arash Sadeghzadeh ◽  
Hamidreza Momeni
1996 ◽  
Vol 118 (2) ◽  
pp. 366-372 ◽  
Author(s):  
Min-Hung Hsiao ◽  
Jen-Kuang Huang ◽  
David E. Cox

This paper presents an iterative LQG controller design approach for a linear stochastic system with an uncertain openloop model and unknown noise statistics. This approach consists of closed-loop identification and controller redesign cycles. In each cycle, the closed-loop identification method is used to identify an open-loop model and a steady-state Kalman filter gain from closed-loop input/output test data obtained by using a feedback LQG controller designed from the previous cycle. Then the identified open-loop model is used to redesign the state feedback. The state feedback and the identified Kalman filter gain are used to form an updated LQG controller for the next cycle. This iterative process continues until the updated controller converges. The proposed controller design is demonstrated by numerical simulations and experiments on a highly unstable large-gap magnetic suspension system.


2012 ◽  
Vol 45 (16) ◽  
pp. 864-869 ◽  
Author(s):  
Adhemar B. Fontes ◽  
Manoel O.S. Sobrinho ◽  
Joselito S. Lima

2013 ◽  
Vol 303-306 ◽  
pp. 1167-1170
Author(s):  
Zhi Yi Xu ◽  
Xiang Jun Zhang ◽  
Zhen Liu

The paper proposes a new method based on the Viere theorem to decide the range containing the optimal parameters. The method can accelerate the parameters search speed on the computer and avoid some unnecessary job for PID controller design. It can be acted as a criterion to judge the stability of the closed loop system.


In this research, analysis and developed identification of closed loop system with mathematical modeling. Implemented the mathematical analysis & the process parameters by the data obtain in the closed-loop test. Tuned the closed-loop system by control system methodology and using controller. To analyzed the behavior and all parameters of closed loop system i.e. the parameters include stability, frequency, load disturbance and the system output etc. experiment the proposed work for model identification and performance of set point and load-disturbance ,controller output ,robustness, stability margins, noise measurement etc.


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