Dain Yoon |
Ph. D. Student, KAIST, Dept. of Aerospace Engineering, 34141, Daejeon, Republic of Korea. | Chang-Hun Lee |
Assistant Professor, KAIST, Dept. of Aerospace Engineering, 34141, Daejeon, Republic of Korea. | Min-Jea Tahk |
Emeritus Professor, KAIST, Dept. of Aerospace Engineering, 34141, Daejeon, Republic of Korea. |
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Abstract:
This paper deals with a nonlinear attitude controller considering the disturbance rejection for urban air mobility (UAM). Using the disturbance observer-based control (DOBC) methodology, the proposed controller is constructed with a two-stage design procedure. The baseline control is established first by employing the time-scale separation approximation assumption and the feedback linearization approach, and then the Gaussian process regression (GPR) is augmented. Given the computational burden, the GP model is learned offline with a fixed-size training dataset. The GPR works as an adaptive law like the nonlinear disturbance observer. However, GPR can flexibly model the disturbance because the GPR describes the disturbance as a distribution over the functions. Furthermore, the control allocation method for the over-actuated system is presented to distribute the control command efficiently. Consequently, the proposed controller is validated with the numerical simulation under the various disturbance conditions such as model parameter uncertainties.
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