Design of Controllers for a Multi-Degree-of-Freedom Spherical Wheel Motor

Author(s):  
Hungsun Son ◽  
Kok-Meng Lee

This paper presents the control system design for a particular form of variable-reluctance spherical motors, referred to here as a spherical wheel motor (SWM). Unlike most of the existing spherical motors where focuses have been on the control of the three-DOF angular displacement, the SWM offers a means to control the orientation of a continuously rotating shaft. Specifically, we demonstrate an effective method to decouple the open-loop (OL) control of the spin rate from that of the inclination, leading to a practical OL system combining a switching (spin-rate) controller and a model-based inclination controller. The OL system presented here provides the fundamental control structure for the SWM. To account for unmodeled external torques, we extend the design to allow feedback with a PD controller and a high-gain observer. The effectiveness of the controllers has been investigated by comparing their performance numerically under the influence of an unknown external torque.

2013 ◽  
Vol 718-720 ◽  
pp. 1554-1558
Author(s):  
Hong Wei Sha ◽  
Ren Liang Chen

to deal with the problems caused by the fixed stabilator, the movable stabilator and its installation angle control system have been researched in this paper. Base on the analysis of the influence of movable stabilator on helicopter longitudinal flying qualities, the control structure of the installation angle control system has been designed and its parameters are figured out with SQP method. The control system raised in this paper could be useful to instruct the movable stabilator installation angle control system design.


Author(s):  
D. Nelson-Gruel ◽  
P. Lanusse ◽  
A. Oustaloup ◽  
V. Pommier

A robust controller design is proposed for the active suspension system bench-mark problem. The CRONE control system design used is extended to unstable multivariable plants with lightly damped modes and RHP zeros. Decoupling and stabilizing controller K, is achieved for the open-loop transfer matrix. Fractional order transfer functions are used to define all the components of the diagonal open-loop transfer matrix, β. In defining the fractional open-loop transfer function β0i some elements of the plants, G0 and its inverse must be considered to achieve the stable controller. Optimisation provides the best fractional open-loop βopt. Finally, frequency domain system identification is used to find controller K=G0−1 βopt.


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