Modelling, simulation and control of hybrid system integrating logic, dynamics, and constraints using hybrid automaton, APROS and mixed integer quadratic optimization algorithm

Belazreg, Mohamed Fouzi; Halbaoui, Khaled; Boulheouchat, M. H.; Boukhetala, Djamel

doi:10.1109/icmic.2016.7804189

Cited by 3 publications

(4 citation statements)

References 19 publications

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“…The flexible resource models are allocated based on the members’ laboratory hardware availability. The EMS, the micro‐CHP and the smart appliances are resources of KTH; TU Berlin connects the PV system and HP; domestic heating and batteries are provided by VTT's APROS simulation environment [18].…”

Section: Resources and Energy Management Systemmentioning

confidence: 99%

“…On the basis of forecasts of the weather conditions, the forecasts of minimum and maximum thermal energy required to keep the buildings’ indoor temperature within a given comfort range are computed using a dynamic thermal building model. The model runs on top of VTT's APROS process simulation software [18]. It includes energy dynamics dependent on the building structure and indoor temperature level.…”

Section: Resources and Energy Management Systemmentioning

confidence: 99%

“…The laboratory in Helsinki connects resources provided by the APROS system, a proprietary software environment for process simulation [17]. APROS is optimized for communication via the OPC UA protocol.…”

Section: Iet Generation Transmission and Distributionmentioning

confidence: 99%

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Multi‐location virtual smart grid laboratory with testbed for analysis of secure communication and remote co‐simulation: concept and application to integration of Berlin, Stockholm, Helsinki

Wiezorek

Parisio

Kyntäjä

et al. 2017

IET Generation, Transmission & Distribution

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The process of advancement and validation of smart grid technologies and systems calls for the availability of diverse expertise and resources. In response to this consideration, the Virtual Smart Grid Lab (VSGL) was developed as described in this paper. At the core of the VSGL is a novel communication platform for seamlessly connecting geographically distributed laboratories with distinct competences. The platform has the dual purpose of opening access to resources of remote partner laboratory sites and offering the capability to emulate, analyze, and test smart grid communication networks involved in linking the distributed laboratory resources. The VSGL implementation is validated through a use case, in which the resources of R&D laboratories in three European countries are connected to form an aggregated system of distributed energy resources. The operation of the latter was coordinated through an energy management system based on model predictive control (MPC). The VSGL was found to be very suitable to meet the communication-specific requirements of such type of study. In addition, for this particular case the effectiveness of the MPC subject to diverse implementations of communication links was substantiated.

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Section: Resources and Energy Management Systemmentioning

confidence: 99%

Section: Resources and Energy Management Systemmentioning

confidence: 99%

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Multi‐location virtual smart grid laboratory with testbed for analysis of secure communication and remote co‐simulation: concept and application to integration of Berlin, Stockholm, Helsinki

Wiezorek

Parisio

Kyntäjä

et al. 2017

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

show abstract

“…This makes problems that can be rephrased as optimization programs involving linear objective functions and constraints easy to solve via mixed integer linear programming tools [8]. Indeed, many problems have been addressed for MLD systems, including identification [9], model reduction, stability analysis, stabilization, and control design [10]. Other modeling framework and approaches available in the literature, like for instance [11], offer the possibility to include nonlinear continuous dynamics but are computationally more intensive, which poses a challenge for real-time applications.…”

Section: Introductionmentioning

confidence: 99%

Hybrid control of manipulators in human-robot coexistence scenarios

Casalino

Rocco

Prandini

2018

2018 Annual American Control Conference (ACC)

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This paper addresses safe motion planning for a manipulator, in environments shared with human operators. We formulate the problem as an optimal control problem for a hybrid system integrating three different operation modes: nominal, soft safety, and hard safety. The manipulator is assigned a nominal trajectory to reach a target position. If no human is present, then, the manipulator tracks the nominal trajectory; if a human enters its workspace, it tries to avoid it but without adopting too sharp and abrupt actions, except when strictly needed for safety. The decision on when and to what mode to commute is taken online, via a model predictive control approach involving a constrained optimization program with binary variables setting the active/nonactive status of the operating modes. The resulting control input is applied in a receding horizon fashion and the nominal trajectory towards the target is re-computed based on the current state of the system. The proposed approach is applied to a realistic simulation environment and appears computationally feasible and promising.

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Research on improved model predictive control Strategy based on MLD model

Zhong

Zheng

2018

2018 13th World Congress on Intelligent Control and Automation (WCICA)

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Modelling, simulation and control of hybrid system integrating logic, dynamics, and constraints using hybrid automaton, APROS and mixed integer quadratic optimization algorithm

Cited by 3 publications

References 19 publications

Multi‐location virtual smart grid laboratory with testbed for analysis of secure communication and remote co‐simulation: concept and application to integration of Berlin, Stockholm, Helsinki

Multi‐location virtual smart grid laboratory with testbed for analysis of secure communication and remote co‐simulation: concept and application to integration of Berlin, Stockholm, Helsinki

Hybrid control of manipulators in human-robot coexistence scenarios

Research on improved model predictive control Strategy based on MLD model

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