Controllability and Observability of Distributed Gyroscopic Systems

1990 ◽  
Author(s):  
B. Yang ◽  
C. D. Mote
1991 ◽  
Vol 113 (1) ◽  
pp. 11-17 ◽  
Author(s):  
B. Yang ◽  
C. D. Mote

Controllability and observability of a class of distributed gyroscopic systems under pointwise actuators and sensors are presented. The equations of motion are cast in a state space form, in which orthogonality of the eigenfunctions is obtained. The controllability and observability conditions in finite dimensions are obtained for a model representing a truncated modal expansion of the distributed system. In infinite dimensions the controllability and observability conditions are obtained through semi-group theory. In both the finite and infinite dimensional models the conditions of controllability and observability are evaluated through the eigenfunctions in an explicit form. The minimum number of actuators and minimum number of sensors needed to control and observe the system are determined by the largest eigenvalue multiplicity. The results are illustrated on vibration control of the axially moving string and the rotating circular plate.


2006 ◽  
Vol 67 (5) ◽  
pp. 783-795 ◽  
Author(s):  
E. Yu. Zybin ◽  
M. Sh. Misrikhanov ◽  
V. N. Ryabchenko

2021 ◽  
Vol 11 (7) ◽  
pp. 3082
Author(s):  
Dany Ivan Martinez ◽  
José de Jesús Rubio ◽  
Victor Garcia ◽  
Tomas Miguel Vargas ◽  
Marco Antonio Islas ◽  
...  

Many investigations use a linearization method, and others use a structural properties method to determine the controllability and observability of robots. In this study, we propose a transformed structural properties method to determine the controllability and observability of robots, which is the combination of the linearization and the structural properties methods. The proposed method uses a transformation in the robot model to obtain a linear robot model with the gravity terms and uses the linearization of the gravity terms to obtain the linear robot model; this linear robot model is used to determine controllability and observability. The described combination evades the structural conditions requirement and decreases the approximation error. The proposed method is better than previous methods because the proposed method can obtain more precise controllability and observability results. The modified structural properties method is compared with the linearization method to determine the controllability and observability of three robots.


Sign in / Sign up

Export Citation Format

Share Document