Maglev system controller design based on the feedback linearization methods

At first, the maglev vehicle and guideway coupling mathematical model is set up. Through the computation of Lie algebra of the model, a linearization transformation matrix is acquired, and then the nonlinear model is transformed as a linear one. After the special nonlinear model characteristics examined, two simple substitutions are adopted to change the nonlinear system into a linear one. Based on the physical meaning of the latter linearized model, a controller for the suspension system of maglev train is designed. Simulations show that the new controller can adapt well to the variance of suspension mass and gap, and keep its dynamic performance, thus it is superior to the classic controller.