Motion control of mobile manipulators moving on waved road surfaces using neural networks

This research is concerned with a control method of mobile manipulators using a neural network for traveling operations on a waved road surface. When the mobile manipulator travels on an unknown terrain, the mobile manipulator is subjected to the effect of the disturbance torques. In this research, the controller is proposed to compensate the disturbance torques. First, an exact mathematical mobile manipulator model traveling on a waved road surface is proposed with the pitching motion along to the road. Second, the neuro adaptive controller with the compensator using the neural network is proposed to improve the trajectory-tracking control performances. Third, the control performance of the adaptive controller is examined, and the tracking error depending on the amplitude of the waved road and the traveling speed are discussed. Finally, it is clarified through simulation experiments that the traveling-performance are improved by the our proposed neuro adaptive controller.