This study proposes an application design for Stewart platform. The Stewart platform is selected to function as a mass center adjusting mechanism. The mechanism is attached to the chassis of a coaxial two-wheeled self-balancing car so that the mass center of the car can be shifted backward and forward to change the car speed. Besides, the mechanism can be applied to adjust the contacting forces between wheels and the ground if the mass center is shifted to the left and right of the car. In order to verify the feasibility of the design, the dynamic behavior of the car and the designing requirements for the Stewart platform are examined by using dynamic simulations on both sagittal plane and coronal plane. Therefore, the equation of motion of the car is derived from Lagrange mechanics. The driving torques to the wheels for balancing control, velocity control, and direction control are all determined by PID controllers. An algorithm for determining the displacement, that the mass center should be shifted to prevent losing contact force between wheels and the ground, is also introduced. The results of dynamic simulation show that the proposed application is feasible. Designing requirements for synthesizing the dimensions of the adjusting mechanism are also determined from the simulations. Finally, the dimensions of the desired Stewart platform are determined according to the designing requirements. The workspace of the Stewart platform is then investigated by inversed kinematic analysis method. Since the workspace includes the necessary space for the proposed application, which means the specified dimensions of the Stewart platform is valid.

The work deals with the design of an urban two-wheeled electric vehicle. The final product excels in simple shaping, a unique design solution and the possibility of tilting the saddle. Another interesting element is the possibility of extending the range using an additional battery or connecting to a mobile phone. With its features, the concept stands on the border of electric motorbikes, scooters and bicycles.

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CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico / Esse trabalho propõe a modelagem e o controle neuro-fuzzy aplicados na estabilidade estática de um veículo de duas rodas do tipo pêndulo invertido, utilizando como método de otimização a evolução diferencial. Durante a fase de modelagem, determinam-se as incertezas relacionadas aos parâmetros e também à resposta do modelo neuro-fuzzy. Verifica-se que este é capaz de se ajustar satisfatoriamente aos dados extraídos experimentalmente do veículo. Na determinação do controlador neuro-fuzzy, testam-se três estratégias de ajuste de parâmetros, sendo duas delas propostas neste texto, e os resultados são comparados entre si e aos obtidos através de controladores clássicos, e verifica-se experimentalmente e por meio de testes estatísticos que as abordagens propostas apresentam grande capacidade de adaptação às restrições impostas à planta, garantindo a estabilidade estática e a eficiência energética do sistema. / This work proposes the neuro-fuzzy modeling and control applied to the static stability of a two-wheeled inverted pendulum vehicle, using differential evolution as optimization technique. During the modeling phase, the uncertainties related to the parameters and also to the neuro-fuzzy model response are determined. It is possible to verify that the neuro-fuzzy system is capable of satisfactorily adjusts to the data experimentally extracted from the vehicle. In the determination of the neuro-fuzzy controller, three strategies of parameter adjustment are tested, two of them being proposed in this text, and the results are compared between them and those obtained through classical controllers, and it is verified experimentally and through tests that the proposed approaches present a great capacity to adapt to the constraints imposed on the plant, guaranteeing the static stability and the energy efficiency of the system. / Dissertação (Mestrado)