Wyniki wyszukiwania

Sortuj według:

Ogranicz wyniki do:

Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik

Reliability-based economic model predictive control for generalised flow-based networks including actuators' health-aware capabilities

100%

Grosso J., Ocampo-Martinez C., Puig V.

International Journal of Applied Mathematics and Computer Science

2016

tom 26

nr 3

641-654

This paper proposes a reliability-based economic model predictive control (MPC) strategy for the management of generalised flow-based networks, integrating some ideas on network service reliability, dynamic safety stock planning, and degradation of equipment health. The proposed strategy is based on a single-layer economic optimisation problem with dynamic constraints, which includes two enhancements with respect to existing approaches. The first enhancement considers chance-constraint programming to compute an optimal inventory replenishment policy based on a desired risk acceptability level, leading to dynamical allocation of safety stocks in flow-based networks to satisfy non-stationary flow demands. The second enhancement computes a smart distribution of the control effort and maximises actuators' availability by estimating their degradation and reliability. The proposed approach is illustrated with an application of water transport networks using the Barcelona network as the case study considered.

Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation

88%

Xu F., Puig V., Ocampo-Martinez C., Olaru S., Niculescu S.-I.

International Journal of Applied Mathematics and Computer Science

2017

tom 27

nr 1

43-61

In this paper, a fault-tolerant control (FTC) scheme is proposed for actuator faults, which is built upon tube-based model predictive control (MPC) as well as set-based fault detection and isolation (FDI). In the class of MPC techniques, tubebased MPC can effectively deal with system constraints and uncertainties with relatively low computational complexity compared with other robust MPC techniques such as min-max MPC. Set-based FDI, generally considering the worst case of uncertainties, can robustly detect and isolate actuator faults. In the proposed FTC scheme, fault detection (FD) is passive by using invariant sets, while fault isolation (FI) is active by means of MPC and tubes. The active FI method proposed in this paper is implemented by making use of the constraint-handling ability of MPC to manipulate the bounds of inputs. After the system has been detected to become faulty, the input-constraint set of the MPC controller is adjusted to actively excite the system for achieving FI guarantees on-line, where an active FI-oriented input set is designed off-line. In this way, the system can be excited in order to obtain more extra system-operating information for FI than passive FI approaches. Overall, the objective of this paper is to propose an actuator MPC scheme with as little as possible of FI conservatism and computational complexity by combining tube-based MPC and set theory within the framework of MPC, respectively. Finally, a case study is used to show the effectiveness of the proposed FTC scheme.

Ograniczanie wyników

2 International Journal of Applied Mathematics and Computer Science

2 Ocampo-Martinez C.

2 Puig V.

1 Grosso J.

1 Niculescu S.-I.

1 Olaru S.

1 Xu F.

1 2017

1 2016

Wyniki wyszukiwania

Reliability-based economic model predictive control for generalised flow-based networks including actuators' health-aware capabilities

Robust MPC for actuator-fault tolerance using set-based passive fault detection and active fault isolation