Model Predictive collision-free path following control for nonholonomic mobile robots
نویسندگان
چکیده
In this research, a model predictive collision-free path following controller is developed and applied for an omnidirectional mobile robot (OMR). The controlled to track reference while avoiding collision with obstacles. path-following problem reformulated into the regulation of extended plant by introducing virtual degree freedom, parameter geometric curve. Then Model Predictive Controller (MPC) then steer robot. optimization cost function established from difference between state path. solution MPC can be obtained repeatedly solving optimal control (OCP) reduce minimum value, making as close possible. Obstacle avoidance considered adding terms gap objects in front Constraints on states inputs system are also easily MPC. This makes not exceed allowable limits Simulations carried out reveal controller's efficiency show how choose right parameters synchronize tracking obstacle tasks.
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ژورنال
عنوان ژورنال: FME Transactions
سال: 2023
ISSN: ['1451-2092', '2406-128X']
DOI: https://doi.org/10.5937/fme2302192h