Artificial bee colony algorithm-based design of discrete-time stable unknown input estimator

This paper addresses the design problem of the discrete-time stable unknown input estimator (UIE) based on parameter optimization using the artificial bee colony (ABC) algorithm. First, a stability-guaranteed design method for UIEs is presented, and a sufficient condition for the applicability of the design is provided. Next, to design UIEs with good disturbance rejection properties, a new objective function is developed that incorporates both waveform-based and norm-based performance criteria to allow direct evaluation of the adverse effects of disturbances on system performance. Finally, the proposed design method is compared with the previous one using an objective function based on the estimated disturbance to confirm the improvement of the disturbance rejection properties at the plant output. Furthermore, as another approach to the design of stable UIEs, the original UIE design method is combined with a constrained ABC algorithm, and the approach is compared with the proposed one in terms of disturbance rejection properties.

Automated summary

This paper addresses the design problem of discrete-time stable unknown input estimators (UIEs) using the artificial bee colony (ABC) algorithm for parameter optimization. A stability-guaranteed design method is presented along with a new objective function incorporating waveform-based and norm-based performance criteria to improve disturbance rejection properties. The proposed method is compared to a previous method based on estimated disturbances to confirm the improvement in disturbance rejection properties at the plant output. Additionally, a constrained ABC algorithm is combined with the original UIE design method and compared in terms of disturbance rejection properties.