Persona:
Mañoso Hierro, María Carolina

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ORCID
0000-0001-9790-8557
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Mañoso Hierro
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María Carolina
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2014 - 20153
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Fecha de finalización: 2019 × Fecha de inicio: 2014 ×

Resultados de la búsqueda

Mostrando 1 - 3 de 3
  • Miniatura
    Publicación
    Low speed hybrid generalized predictive control of a gasoline-propelled car
    (Elsevier, 2015-07) Madrid, Ángel P. de; Milanés, V.; Romero Hortelano, Miguel; Mañoso Hierro, María Carolina
    Low-speed driving in traffic jams causes significant pollution and wasted time for commuters. Additionally, from the passengers׳ standpoint, this is an uncomfortable, stressful and tedious scene that is suitable to be automated. The highly nonlinear dynamics of car engines at low-speed turn its automation in a complex problem that still remains as unsolved. Considering the hybrid nature of the vehicle longitudinal control at low-speed, constantly switching between throttle and brake pedal actions, hybrid control is a good candidate to solve this problem. This work presents the analytical formulation of a hybrid predictive controller for automated low-speed driving. It takes advantage of valuable characteristics supplied by predictive control strategies both for compensating un-modeled dynamics and for keeping passengers security and comfort analytically by means of the treatment of constraints. The proposed controller was implemented in a gas-propelled vehicle to experimentally validate the adopted solution. To this end, different scenarios were analyzed varying road layouts and vehicle speeds within a private test track. The production vehicle is a commercial Citroën C3 Pluriel which has been modified to automatically act over its throttle and brake pedals.
  • No hay miniatura disponible
    Publicación
    Fundamentals of the MPC approach to stop-and-go Adaptive Cruise Control
    (IEEE, 2014) Pérez de Madrid y Pablo, Ángel; Mañoso Hierro, María Carolina; Romero Hortelano, Miguel
    In this paper we review the fundamentals of Adaptive Cruise Control / Stop-and-Go systems based on model predictive control theory. Driver’s decisions can be formulated as few very general constraints, for which the mathematical expression is derived in depth. The resulting control system can adjust a car velocity to maintain an intervehicle security distance, avoid collisions, stop and eventually accelerate, and observe other considerations such as passengers’ comfort without human intervention.
  • No hay miniatura disponible
    Publicación
    Explicit predictive control of a hybrid system: A case study: Control of the longitudinal dynamics of a comercial vehicle at very low speed
    (IEEE, 2015) Mañoso Hierro, María Carolina; Pérez de Madrid y Pablo, Ángel; Romero Hortelano, Miguel
    Many complex systems of theoretical and practical interest can be modeled as hybrid systems, i.e., systems that exhibit both continuous and discrete dynamics. This work focuses on the explicit predictive control of hybrid systems using two free Matlab/Simulink toolboxes designed specifically to synthesize and simulate controllers for this kind of systems. A case study is considered. The system is modeled, from experimental results, after the longitudinal dynamics of a commercial car at low speed. Simulation results are analyzed and a comparative study of both toolboxes is carried out