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Obstacle-Sensitive Trajectory Regulation via Gain Scheduling and Semidefinite Programming

1 1 1 1 1 Rating 4.87 (15 Votes)

PROJECT TITLE :

Obstacle-Sensitive Trajectory Regulation via Gain Scheduling and Semidefinite Programming

ABSTRACT:

The regulation of vehicle trajectories in the vicinity of obstacles must focus on “critical outputs,” which vary as a function of the vehicle's position relative to obstacles as exemplified by the task of parking a car. We present an application of linear parameter-varying techniques to address this problem. We design closed-loop stable, parameter-dependent controllers, whose strategy changes depending on the position of the vehicle in the obstacle environment. We also provide a fast and easy-to-implement algorithm for online controller construction. Last, the proposed approach is demonstrated on a three degrees-of-freedom helicopter.


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Obstacle-Sensitive Trajectory Regulation via Gain Scheduling and Semidefinite Programming - 4.9 out of 5 based on 15 votes

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