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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Szabat, K. Orlowska-Kowalska, T. |
| Copyright Year | 1982 |
| Abstract | This paper deals with the application of the adaptive control structure for torsional vibration suppression in the drive system with an elastic coupling. The proportional-integral speed controller and gain factors of two additional feedback loops, from the shaft torque and load side speed, are tuned on-line according to the changeable load side inertia. This parameter, as well as other mechanical variables of the drive system (load side speed, torsional and load torques), are estimated with the use of the developed nonlinear extended Kalman filter (NEKF). The initial values of the Kalman filter covariance matrices are set using the genetic algorithm. Then, to ensure the smallest state and parameter estimation errors, the on-line adaptation law for the chosen element of the state covariance matrix of the NEKF is proposed. The described control strategy is tested in an open and a closed-loop control structure. The simulation results are confirmed by laboratory experiments. |
| Sponsorship | IEEE Industrial Electronics Society |
| Starting Page | 1075 |
| Ending Page | 1084 |
| Page Count | 10 |
| File Size | 1430241 |
| File Format | |
| ISSN | 02780046 |
| Volume Number | 55 |
| Issue Number | 3 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-03-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Elasticity Covariance matrix Electrical equipment industry Adaptive control Vibration control Mechanical variables control Torque control Pi control Proportional control Feedback loop torsional vibration elastic couplings industrial drives Kalman filter (KF) Kalman Filter adaptive control |
| Content Type | Text |
| Resource Type | Article |
| Subject | Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications |
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