Algorithm Selection for the Predictive Model in Control Systems with Incompletely Observable Control Coordinate

Kobzev, A. A.; Novikova, Natalia; Lekareva, Anastasia

doi:10.1016/j.procs.2017.01.009

Cited by 2 publications

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“…The results of the study of the predictive model algorithms are presented in [22]. The analysis of the obtained results testifies to the advantage of the prediction using the Newton interpolation polynomials.…”

Section: The Choice Of the Algorithm For The Predictive Analysermentioning

confidence: 84%

Tracking System for Moving Object with Forecasting

Kobzev¹,

Novikova²,

Lekareva³

2017

DAAAM Proceedings

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This Publication has to be referred as: Kobzev AbstractA characteristic feature of tracking systems for movable objects is the change of trajectory according to various laws. Under the uncertainty of these trajectories, the question of ensuring of a given tracking accuracy is topical. One of the possible options for constructing a rational structure of the automatic control system that enhances the control characteristics is the introduction of a parallel model that generates a signal for «additional control». Hence, it is possible to use two structures of a parallel model: 1) a model similar to the original ACS, but with the main feedback on the adjustable coordinate; 2) a model that forms a given («reference») transient process under various external influences. Studies have shown that the introduction of a parallel model having a structure similar to the original ACS, but with a control object completely covered by feedback, allows to stabilize the response characteristics only in a limited range of external influences. ACSs with a parallel model of the second type have higher response performance. Therefore, both in the first and in the second case it is necessary to introduce an element with a variable transmission coefficient into the circuit of "additional control" signal synthesis, which significantly complicates the structure of the automatic control system and the control problem, since its value depends on many factors. The introduction of the predictive model allows to improve the response characteristics of the system significantly. The results of the ACS simulation with the parallel predictive model indicate that the maximum absolute error of the controlled quantity does not exceed 1% of the maximum value of the control input.Keywords: Dynamic objects with the incompletely observed regulated coordinate; predictive control; pattern model; correction algorithms of the controlling action; forecasting of the external effects

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Section: The Choice Of the Algorithm For The Predictive Analysermentioning

confidence: 84%