this paper deals with simulation of a process highly monitored in a real time operation. It shows the reasons for process simulation and the control of the process under a simulation environment for developing control...
详细信息
this paper deals with simulation of a process highly monitored in a real time operation. It shows the reasons for process simulation and the control of the process under a simulation environment for developing control system strategies before they are implemented in real time operation algorithms and control. the marine technology in terms of the simulation of the functionalities for power management is specifically mentioned. It includes boththe automatic control of the power management system of marine technologies and the description of the main functionalities of the control system used for the power generation and distribution for this system. these functionalities need to be supported by software for a power management system and by a simulation process with developed software libraries used at the operator work station interface. the improved operation conditions are simulated first and then added into specific features corresponding to real power management system needs. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
the paper offers a new model for in-plant transportation control withthe AGV. the controlling part is performed withthe use of software constituting a hybrid information system employing fuzzy logic and genetic algo...
详细信息
the paper offers a new model for in-plant transportation control withthe AGV. the controlling part is performed withthe use of software constituting a hybrid information system employing fuzzy logic and genetic algorithms. Introducing the division of workspace into zones and switching stations resolved the problem of multimodality in transportation and potential collisions between AGVs. the concept model was verified by means of the developed simulation model of the production system withthe transportation control system. the conducted simulation experiments confirmed high efficiency of the proposed solution. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Interoperability is a major stake for industry, and in general for all the systems, of any dimension, that need to share contents in every shape. It provides that the exchanges between different parts of different ent...
详细信息
Interoperability is a major stake for industry, and in general for all the systems, of any dimension, that need to share contents in every shape. It provides that the exchanges between different parts of different entities perform in a perfect way. Various problems could arise and let the interoperation difficult or impossible. One of those problems could be the presence of implicit knowledge in the systems models. this kind of problems can be faced through knowledge formalisation strategies. the Formal Concept Analysis (FCA) is a mathematical tool to represent the information in a structured and complete way. In this scientific work, we present an extension of the FCA, the Relational Concept Analysis, to reveal tacit knowledge hidden in multi contexts systems. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
the increasing demand for flexible production systems can be partially met by advanced scheduling techniques to allocate processing steps of products to machines and to define processing times. Mass production becomes...
详细信息
the increasing demand for flexible production systems can be partially met by advanced scheduling techniques to allocate processing steps of products to machines and to define processing times. Mass production becomes sparse and special constraints like release and due dates, configuration changes, restrictions for products of the same order, or shift work are new challenges for the scheduling process. this paper deals withthe scheduling in a hot rolling mill which can be modeled as a flexible job shop with no-wait constraints and the objective to minimize the makespan. Existing solutions for this type of problem are extended in this paper to incorporate multiple complex constraints. A distinction between hard and soft constraints helps to keep the multi-constraint scheduling task manageable. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Our contribution deals with a class of Optimal control Problems (OCPs) of dynamic systems with randomly varying time delays. We study the minimax-type OCPs associated with a family of delayed differential equations. T...
详细信息
Our contribution deals with a class of Optimal control Problems (OCPs) of dynamic systems with randomly varying time delays. We study the minimax-type OCPs associated with a family of delayed differential equations. the presented minimax dynamic optimization has a natural interpretation as a robustness (in optimization) with respect to the possible delays in control system under consideration. A specific structure of a delayed model makes it possible to reduce the originally given sophisticated OCP to an equivalent convex program in an Euclidean space. this analytic transformation implies a possibility to derive the necessary and sufficient optimality conditions for the original OCP. Moreover, it also allows consideration of the wide range of effective numerical procedures for the constructive treatment of the obtained convex like OCP. the concrete computational methodology we follow in this paper involves a gradient projected algorithm. We give a rigorous formal analysis of the proposed solution approach and establish the necessary numerical consistence properties of the resulting robust optimization algorithm. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
In this paper a Model Predictive control (MPC) architecture is proposed to achieve a smooth and progressive stabilization of the vehicle in limit cornering conditions. Integral Sliding Mode (ISM) is effectively exploi...
详细信息
In this paper a Model Predictive control (MPC) architecture is proposed to achieve a smooth and progressive stabilization of the vehicle in limit cornering conditions. Integral Sliding Mode (ISM) is effectively exploited, in a multi-rate structure, in order to enhance the robustness with respect to changes in the tire/road friction characteristic curve and modelling errors. these typically arise due to the linearizations and discretizations needed in the controllers implementation. the performance is verified in simulation using IPG-CarMaker, a high-fidelity vehicle dynamics simulation software. the results obtained evidence the effectiveness of the proposed approach, also compared to an LQR based architecture. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
We propose a homogeneous integral controller with positive homogeneity degree, for systems with relative degree two and three. Its design and the convergence proof is achieved by the construction of an explicit homoge...
详细信息
We propose a homogeneous integral controller with positive homogeneity degree, for systems with relative degree two and three. Its design and the convergence proof is achieved by the construction of an explicit homogenous Lyapunov function. A combination of this controller, with a discontinuous one developed by the authors in a previous work, allows to achieve: (i) fixed time convergence, that is that the maximal convergence time is a constant independent of the size of the initial conditions;(ii) insensitivity to Lipschitz (matched) perturbations, i.e. perturbations with bounded derivative;and (iii) providing a continuous control signal, and thus reducing the chattering effect of a discontinuous controller. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
the problem of fault diagnosis in hybrid systems is investigated. the hybrid systems under consideration consist of finite automaton, the set of nonlinear difference equations and so-called mode activator that coordin...
详细信息
the problem of fault diagnosis in hybrid systems is investigated. the hybrid systems under consideration consist of finite automaton, the set of nonlinear difference equations and so-called mode activator that coordinates the action of these two parts. the hybrid residual generator based on the nonparametric method is found that solves the fault diagnosis problem under certain (sufficient) solvability conditions. Examples illustrate details of the solution. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Demand forecasting plays an important role for supply chains decision making. It also represents a basis step for activity planning in response to customer demand. In this paper, recent advances in times series allow ...
详细信息
Demand forecasting plays an important role for supply chains decision making. It also represents a basis step for activity planning in response to customer demand. In this paper, recent advances in times series allow a new robust and easy approach for demand forecasting. Such technique which is based on algebraic methods of estimation seems to be more adequate for such supply chains task. Several computer simulations and comparative studies demonstrate the relevance of the proposed approach. Copyright 2018 ifac. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
Cascading outage analysis is important to minimize the risk of power system blackouts. To sustain power system reliability and manage the risk of blackouts requires simulation tools that are able to analyze and assess...
详细信息
Cascading outage analysis is important to minimize the risk of power system blackouts. To sustain power system reliability and manage the risk of blackouts requires simulation tools that are able to analyze and assess the consequence of cascading events quickly and efficiently. this paper presents a cascading analysis feature that was recently implemented upon an integrated state estimation and contingency analysis software package to utilize the power of high performance computing (HPC) techniques. the performance of the developed cascading analysis function, including the consequence analysis and scalability, is demonstrated through three test systemsthat represent small, medium, and large power systems. the package is able to perform cascading analysis with full N-1 contingency for a European open model within 20 seconds with 2,048 cores. A discussion of HPC implementation is also provided. (C) 2018, ifac (International Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
暂无评论