The paper poses the problem of minimum-time velocity planning subject to a jerk amplitude constraint and to arbitrary velocity/acceleration boundary conditions. This problem which is relevant in the field of autonomous robotic navigation and also for inertial one-dimensional mechatronics systems is dealt with an algebraic approach based on Pontryagin’s Maximum Principle. The exposed complete solution shows how this time-optimal planning can be reduced to the problem of determining the positive real roots of a quartic equation. An algorithm that is suitable for real-time applications is then presented. The paper includes detailed examples also highlighting the special cases of this planning problem.
Algebraic solution to minimum-time velocity planning / Lini, Gabriele; Piazzi, Aurelio; Consolini, Luca. - In: INTERNATIONAL JOURNAL OF CONTROL, AUTOMATION, AND SYSTEMS. - ISSN 1598-6446. - 11:4(2013), pp. 805-814. [10.1007/s12555-011-0065-y]
Algebraic solution to minimum-time velocity planning
LINI, Gabriele;PIAZZI, Aurelio;CONSOLINI, Luca
2013-01-01
Abstract
The paper poses the problem of minimum-time velocity planning subject to a jerk amplitude constraint and to arbitrary velocity/acceleration boundary conditions. This problem which is relevant in the field of autonomous robotic navigation and also for inertial one-dimensional mechatronics systems is dealt with an algebraic approach based on Pontryagin’s Maximum Principle. The exposed complete solution shows how this time-optimal planning can be reduced to the problem of determining the positive real roots of a quartic equation. An algorithm that is suitable for real-time applications is then presented. The paper includes detailed examples also highlighting the special cases of this planning problem.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.