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Neural network based predictive control of electrical drives
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| Author(s) |
I. Petrovic; Z. Rac; N. Peric |
| Abstract |
A control strategy based on generalized predictive controller (GPC) is proposed for control of
electrical drives with transmission elasticity and backlash. Neural network based model is used for
identification of the two-mass mechanical system with elastic transmission and backlash with
negligible friction. It is assumed that only measurement at the load side is available. Since GPC
controller requires linear process model, neural model is linearized by means of instantaneous
linearization in each sample instant. This control strategy is then compared to the classical GPC based
on linear process model by computer simulations and experimentally on a laboratory model of the
electrical drive with transmission elasticity and backlash. |
| Download |
| Filename: | EPE2001 - PP01030 - Petrovic.pdf |
| Filesize: | 403.6 KB |
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| Type |
Members Only |
| Date |
Last modified 2004-03-15 by System |
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