The active magnetic bearing control with automatic parallel compensation

Title:

The active magnetic bearing control with automatic parallel compensation

Creator:

Březina, Tomáš, Turek, Milan, and Pulchart, Jaroslav

Identifier:

https://cdk.lib.cas.cz/client/handle/uuid:bb53b9fe-6ad3-4dcd-a441-d32204d2f739
uuid:bb53b9fe-6ad3-4dcd-a441-d32204d2f739

Subject:

continuous action reinforcement learning automata and active magnetic bearing

Type:

model:article and TEXT

Format:

bez média and svazek

Description:

The active magnetic bearing control through analytically designed linear PD regulator, with parallel nonlinear compensation represented by automatic approximator is described in this contribution. Coefficient (parameter) values come from actions of Continuous Action Reinforcement Learning Automata (CARLAs). Modified algorithm for automata implementation is used which continuously updates learning parameters according to former learning process. The goal of this on-line training is formulated as achievement of minimum mean square of control error. Described concept of control is proved by simulation study. It is shown that the significant improvement of whole system behavior can be achieved. and Obsahuje seznam literatury

Language:

English

Rights:

http://creativecommons.org/licenses/by-nc-sa/4.0/
policy:public

Coverage:

149-155

Source:

Engineering mechanics: international journal for theoretical and applied mechanics | 2005 Volume:12 | Number:3

Harvested from:

CDK

Metadata only:

false