Abstract

The two-wheeled robot system has several uncertainties, that modeling the real nonlinear dynamical system is quite challenging. This paper presents designing and implementing a data-driven controller for a two-wheeled self-balancing robot only based on input-output system data. No model or identification is used in this paper. Two steps are required to design a data-based controller. First, a test is done on the real system, and input-output data is recorded. Then, based on available data, a linear matrix inequality problem is solved to design the controller. The results indicate that the proposed data-driven controller has better performance rather than a well-designed PID controller in real practical experiments.

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