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doi: 10.17586/2226-1494-2023-23-5-894-903

Robust disturbances compensation for MIMO linear systems with unmeasured state vector and control delay

V. H. Bui, V. A. Zhdanov, A. A. Margun


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Article in Russian

For citation:
Bui V.H., Zhdanov V.A., Margun A.A. Robust disturbances compensation for MIMO linear systems with unmeasured state vector and control delay. Scientific and Technical Journal of Information Technologies, Mechanics and Optics, 2023, vol. 23, no. 5, pp. 894–903 (in Russian). doi: 10.17586/2226-1494-2023-23-5-894-903


Abstract
In the paper, the problem of compensation of external disturbance in multichannel systems with unmeasurable state vector and delay in the control channel is considered. It is assumed that the disturbance has a harmonic form. To solve the problem of estimating the state vector of a system, a full-order observer with Unknown Input Observer is constructed. A new observer of external disturbance is formed on the basis of the state vector estimates produced by this observer. As a result, a system is formed that uses estimates with an extended state vector. For this system, a regulator is constructed that provides compensation of the disturbance. The proposed algorithm guarantees boundedness of all signals in the closed-loop system and asymptotic stability of the output. It does not require identification of parameters of external disturbance. To demonstrate the performance and efficiency of the proposed approach, computer simulation using MATLAB Simulink software environment is performed. The developed algorithm can be effectively applied in systems with external disturbance in the form of sinusoidal signals, including systems exposed to wind, ship systems, motion control systems of robotic complexes of various types, and others.

Keywords: adaptive control, MIMO system, sinusoidal disturbance, linear systems, disturbance compensation, delay in the control channel

Acknowledgements. The study was supported by the Ministry of Science and Higher Education of the Russian Federation, state assignment No. 2019-0898.

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