This paper shows how control techniques, such as PID or generalized predictive control, can improve the performance of TCP/IP networks when dealing with congestion. Drop tail, or more sophisticated AQM techniques such...
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In hybrid energy systems, batteries and supercapacitors are usually taken as storage mechanisms for smoothing output power, start-up transition, and various load conditions. As a result, developing hybrid power conver...
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The demand-side energy management of microgrids comprising of buildings of heterogeneous nature (residential, commercial, industrial, etc.) and thus exhibiting heterogeneous occupancy pattern, requires the development...
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ISBN:
(纸本)9781479917730
The demand-side energy management of microgrids comprising of buildings of heterogeneous nature (residential, commercial, industrial, etc.) and thus exhibiting heterogeneous occupancy pattern, requires the development of appropriate energy management systems (EMSs) that can integrate the maximum exploitation of the distributed energy resources like photovoltaic panels with the thermal comfort of the occupants. This paper presents a simulation-based optimization approach for the design of an EMS in grid-connected photovoltaic-equipped microgrids with heterogeneous buildings and occupancy schedules. The EMS optimizes a multi-objective criterion that takes into account both the energy cost and the thermal comfort of the aggregate microgrid. A three-building microgrid test case is used to demonstrate the effectiveness of the proposed approach: comparisons with alternative rule-based and optimization-based EMSs show that the proposed EMS strategy exploits the occupancy information to automatically change the energy demand of each building, resulting in improved energy cost and thermal comfort.
Nowadays automation systems are required to be flexible in order to cope with the ever changing requirements of the applications in terms of complexity, extensibility or dynamism. The use of reconfiguration techniques...
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The linear quadratic optimal control problem for time invariant systems is presented. The problem with Unite final time and fixed end-point is considered. The study takes into account the influence of the time variant...
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The linear quadratic optimal control problem for time invariant systems is presented. The problem with Unite final time and fixed end-point is considered. The study takes into account the influence of the time variant perturbations in optimal control law implementation. The applicability of the proposed algorithm is illustrated by simulation tests.
In this paper, a transformerless PV inverter is proposed, which is formed by adding a neutral leg into conventional half bridge inverter. It consists of one neutral leg and one inverter leg. The presence of the neutra...
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ISBN:
(纸本)9781479940318
In this paper, a transformerless PV inverter is proposed, which is formed by adding a neutral leg into conventional half bridge inverter. It consists of one neutral leg and one inverter leg. The presence of the neutral leg enables the direct connection between the ground of PV panels and the ground. Two main benefits are then obtained. First, the common mode currents are completely eliminated because the stray capacitors between the PV panels and the grid neutral line are bypassed. Another benefit is the voltage of the PV is only required to be higher than the peak value of the grid voltage, which is same as that of conventional full bridge inverter. In addition, the synchronverter technology designed for three-phase inverters is extended to a single-phase case to design the controller of the inverter leg. As a result, the proposed inverter becomes more grid-friendly. The control of the two legs are independent with each other, which means the controller design much easier. The performance of the whole system is evaluated in detail with the provided real-time simulation results.
This main goal of this research is the development of a new parametrization technique for the motion of rigid bodies. Our study is based on the properties of dual tensors, more precisely their Lie group and Lie algebr...
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ISBN:
(数字)9781624103087
ISBN:
(纸本)9781624103087
This main goal of this research is the development of a new parametrization technique for the motion of rigid bodies. Our study is based on the properties of dual tensors, more precisely their Lie group and Lie algebra. For the first time a complete parameterization framework is constructed, which gives the possibility of developing unitary direct solutions for computation of the main motion kinematic representation entities: dual Euler-Rodrigues parameters, dual Rodrigues vector, dual Wiener-Milenkovic parameters and dual quaternions. Using rigid bases of dual vectors, we provide direct computational solutions of the above motion kinematic entities. The novelty of our methods over existing solutions is discussed and the main advantages are revealed. Our solutions are free of coordinates and have direct implementation, both in numerical applications and in the symbolical ones.
This paper provides a representation theorem of the exact solution for the relative orbital motion problem when the motion of the deputy satellite has 6-DOF. This problem is quite important, due to its numerous applic...
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ISBN:
(数字)9781624103087
ISBN:
(纸本)9781624103087
This paper provides a representation theorem of the exact solution for the relative orbital motion problem when the motion of the deputy satellite has 6-DOF. This problem is quite important, due to its numerous applications: spacecraft formation flying, rendezvous operations, autonomous missions. The common approach is to consider the relative translational and rotational dynamics for the chief-deputy spacecraft formation to be modeled using vector based formalisms. Our approach makes use of a complete tensor based construction which allows the division of the full body problem in a non-inertial frame into two classical full body problems in inertial frames: the Kepler problem and the Euler fixed-point problem.
The work focuses on a sample gathering problem where a team of mobile robots has to collect and deposit into a storage facility all samples spread throughout the robotic environment. Recent results propose an optimal ...
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The work focuses on a sample gathering problem where a team of mobile robots has to collect and deposit into a storage facility all samples spread throughout the robotic environment. Recent results propose an optimal and off-line solution for this problem, based on a mixed integer linear programming optimization. However, this optimization may fail when there are many robots and/or samples. To overcome this problem, the current paper first formulates a quadratic programming relaxation that, at a price of obtaining sub-optimal robotic plans, is computationally feasible even when the optimal solution fails. Secondly, the paper comparatively analyzes the two possible formulations, in order to draw rules for choosing the appropriate optimization to be employed in a specific case.
This research targets the problem of automatically planning a team of mobile agents such that they collect the samples scattered throughout an environment in minimum time. Each mobile agent can carry at most one sampl...
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This research targets the problem of automatically planning a team of mobile agents such that they collect the samples scattered throughout an environment in minimum time. Each mobile agent can carry at most one sample at a time and it can travel a maximum total distance, given by agent's available energy. The environment is assumed already abstracted to a finite graph, where a node plays the role of the deposit where the samples should be gathered. Our solution consists in several steps that lead to a formulation of the initial problem as a Mixed Integer Linear Programming one. The solution yields a plan that imposes for each agent the samples and the order for collecting them. This result is optimal from the point of view of collecting all samples in minimum time.
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