This paper compares 3 ASR 1 control laws, a PI controller, a linearizing feedback and a flatness based control. First, the controllers are designed based on a two state equations vehicle model. Then, the controllers are experimentally validated on an hybrid vehicle (VELROUE) with rear electric wheels and front axle ICE 2 traction. Finally, the nonlinear control laws are compared to the PI controller that is classically used in the automotive industry.
International audienceA method to tune the parameters of the controller of an inertially stabilized platform is presented. This platform carries an electro-optical system. The image quality is obviously influenced by the movements of the platform: the Line of Sight (LoS) of the imager has to remain fixed in an inertial frame. The more the LoS controller manages to counter the movement of the platform, the better the image quality will be. The motion Modulation Transfer Function (motion MTF) measures the amount of blur brought into the image by the motion of the platform. It represents the contrast over spatial frequencies. Up to now, it has mostly been used as a validation tool for controllers already tuned from derived low level and conservative considerations. The proposed methodology aims to tune LoS controllers using directly the motion MTF as a criterion in the design procedure
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