scholarly journals Dynamics-Based Piecewise Constant Control of Omni-Vehicle

Author(s):  
Georgy Moiseev ◽  
Alexandra Zobova

Abstract In this paper, we consider the dynamics of a mobile vehicle moving under control on a perfectly rough horizontal plane. The vehicle consists of a horizontal platform and three omni-wheels that can rotate independently. An omni-wheel has freely rotating rollers on its rim [1]. We use its simplest model: an omni-wheel on a perfectly rough plane is modelled as a rigid disk with a constraint that its contact point velocity directed perpendicular to the disk's plane. The vehicle is controlled by three direct current motors in wheels' axes. Two terms model torques generated by motors: the rst one is proportional to the voltage, the second one is proportional to the value of the angular velocity of a wheel (counter-electromotive force). We study constant voltage dynamics and boundary-value problems for arbitrary initial and nal mass center coordinates, course angles and their derivatives using a piecewise constant control with one switching point. This problem is reduced to a system of algebraic equations for some specific (symmetric) vehicle model. We numerically model the system and analyze the possibility of optimization. For another vehicle configuration, we get the solution as numerical parametric continuation starting from the solution for the symmetric vehicle.

2018 ◽  
Author(s):  
I. M. Alesova ◽  
L. K. Babadzanjanz ◽  
A. M. Bregman ◽  
K. M. Bregman ◽  
I. Yu. Pototskaya ◽  
...  

2009 ◽  
Vol 31 (5) ◽  
pp. 3566-3594 ◽  
Author(s):  
Ilan Degani ◽  
Antonella Zanna ◽  
Lene SÆlen ◽  
Raymond Nepstad

2019 ◽  
Vol 141 (12) ◽  
Author(s):  
Haojiao Liang ◽  
Huiping Li ◽  
Demin Xu

Abstract The paper studies an economic model predictive control (EMPC) problem for sampled-data linear systems with system constraints. The cost function consists of an economic part and a regulatory part, and a new EMPC algorithm with piecewise constant control is designed. Iterative feasibility of the designed optimization problem and input-to-state stability (ISS) of the closed-loop system are proved. In particular, we show that the closed-loop system is input-to-state stable with respect to the supremum norm of the economic cost, and the system state is ultimately bounded within a bound determined by the economic cost. Through thorough simulations, the effectiveness of the designed algorithm is verified and the tradeoff between control and economic performance is demonstrated.


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