Sustainable Agriculture Том 23 № 3 (2024) · с. 72-75
ADAPTIVE OBSERVATION VIA THE INSTRUMENTALVARIABLES METHOD IN CONTROL SYSTEMS WITH STATEFEEDBACK
Nikolov, N., Grigorov, I., Ubaydullayeva, Shaxnoza, Gaziyeva, Rano
Аннотация
When the input signal and the output value of the object of control cannot be measured accurately, the estimation of the state vector is performed. The instrumental variables (IVs) method is one of the commonly used parameter estimation methods [1-10]. The task of adaptive observation is to create state observers containing parameter estimators. In adaptive observers, the matrices A and b or c (depending on the chosen canonical state-space representation form) are assumed to be unknown. In the monitoring process, parameter estimation is performed, the unknown matrices are determined, and then the state vector is calculated. The present paper aims to present a non-recurrent adaptive observation algorithm for SISO linear time-invariant (LTI) discrete systems. The algorithm is based on the instrumental variables (IVs) method and the adaptive state observer (ASO) estimates the parameters, the initial and the current state vectors of the discrete system. The algorithm workability and effectiveness are proved by using simulation data in the MATLAB/Simulink.
adaptive observation, discrete state observer, non-recursive algorithm, initial vector of state, current vector of state, estimation.
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