期刊
ASIAN JOURNAL OF CONTROL
卷 25, 期 1, 页码 433-442出版社
WILEY
DOI: 10.1002/asjc.2793
关键词
adaptive control; asymptotic tracking control; modeling uncertainties; output feedback control; robust control; state observer
In this article, a novel output feedback controller is proposed for trajectory tracking of nonlinear systems subject to modeling uncertainties. The controller combines adaptive control and integral robust feedback to achieve real-time estimation and handling of parameter uncertainties and external disturbances. The high tracking performance of the controller is demonstrated through simulation validations.
In this article, committed to extending the robust integral of the sign of the error (RISE) feedback control to the working condition of output feedback, a novel output feedback controller with a continuously bounded control input which combines the adaptive control and integral robust feedback will be proposed for trajectory tracking of a family of nonlinear systems subject to modeling uncertainties. A novel adaptive state observer (ASO) with disturbance rejection performance is creatively constructed to derive real-time estimation of the unmeasured state signals. Moreover, a projection-type adaption law is integrated to handle parameter uncertainties and an integral robust term is employed to deal with external disturbances. It is shown that asymptotic estimation performance and meanwhile asymptotic tracking result can eventually be derived. Simulation validations are implemented to demonstrate the high tracking performance of the presented controller. Notably, the synthesized control algorithm can be readily extended to the Euler-Lagrange systems. Typically, it can be extended to practical electromechanical equipment such as three-dimensional vector forming robots to improve the real-time forming accuracy.
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