This paper deals with the modelling and control of balanced wheeled autonomous mobile robot. For the MBS dynamics modelling software tool Matlab-SimMechanics is used. The model derived automatically from geometric-topological description of MBS is used for the control purposes (local linearization for state space control, testing of nonlinear system controlled by LQR) and also as a reference during the analytical model formulation for global feedback linearization. The dual accelerometer is used as a tilt sensor and the proposed method for sensory processing is described in this paper. The approach is based on iterative solution of nonlinear equation. Control using the state space (LQR) and the feedback linearization is compared. Also, the influence of sensor noises and delays implemented into the model are discussed. Finally, the solution is verified on real physical model controlled by means of hardware ni the loop (HIL). and Obsahuje seznam literatury
-axis subsystems are firstly transformed into two linear subsystems by using feedback linearization technique, then, integral terminal sliding mode controller and finite-time controller are designed respectively. The proof of finite time stability are given for the PMSM closed-loop system. Compared with the corresponding asymptotical stability control method, the proposed controller can make the system output track the desired speed reference signal in finite time and obtain a better dynamic response and anti-disturbance performance. Meanwhile, considering the large chattering phenomenon caused by high switching gains, a composite integral terminal sliding mode control method based on disturbance observer is proposed to reduce chattering phenomenon. Through disturbance estimation based feed-forward compensation, the composite integral terminal sliding mode controller may take a smaller value for the switching gain without sacrificing disturbance rejection performance. Experimental results are provided to show the superiority of proposed control method.