Robust Optimal Control of Two-Wheeled Self-Balancing Robot Using Chebyshev Inclusion Method

Since two-wheeled and the self-balancing robot has a complicated and non-linear structure, its model has some uncertainties. these uncertainties cause that the system has an incorrect solution while using the classic methods for controlling of it. in this paper, a new method based on interval analysis is proposed for modeling the optimal control of the two-wheeled and self-balancing robot with interval uncertain parameters which require only lower and upper bounds of uncertain parameters, with no need to know about probability distributions. since the system has uncertainties in it, controllability is first analyzed based on interval arithmetic. afterwards, lqr based method based on pontryagin principle is utilized to solve the problem. finally, by solving the interval ricatti equations, the confidence interval for feedback controller has been achieved. final results are compared with monte carlo method and the results demonstrate the effectiveness of the proposed method.