TY  - JOUR
T1  - Vibration Reduction of a Magnetically Supported Rotor Using Heuristic Optimization Method
AU - Rocha, Alexandre Branquinho AU - Dohnal, Fadi AU - Silveira, Zilda de Castro 
JO  - Journal of Engineering and Applied Sciences
VL  - 8
IS  - 9
SP  - 314
EP  - 320
PY  - 2013
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2013.314.320
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2013.314.320
KW  - Active magnetic bearing
KW  -unbalance
KW  -multi-criteria optimization
KW  -PID controller
KW  -vibration reduction
KW  -heuristic optimization
AB  - A heuristic optimization method is applied to reduce the vibration 
  amplitude of a rotor system magnetically supported. The rotor system is supported 
  by two Active Magnetic Bearings (AMB) that are operated by commonly used PID 
  controllers. Applying the Ant Colony Optimization (ACO) method, the control 
  parameters of both AMBs are optimized for minimizing the rotor vibrations during 
  the run-up. The necessary steps needed to develop an ACO algorithm are described 
  and the factors that influence the PID control parameters are discussed. Numerical 
  simulations were performed to demonstrate the applicability and efficiency of 
  the proposed procedure.
ER  -