An increasing number of applications require the integration of data from various disciplines, which leads to problems with the fusion of multi-source information. In this paper, a special information structure formal...
详细信息
This paper proposes a dynamic search based optimization algorithm for solving dual security constrained economic load dispatch problem in modem power systems. The proposed research paper presents a multi-objective Dyn...
详细信息
This paper proposes a dynamic search based optimization algorithm for solving dual security constrained economic load dispatch problem in modem power systems. The proposed research paper presents a multi-objective Dynamic Random Neighborhood PSO "DRN-PSO", which uses random neighborhood of every particle every time we need to know the experience we got in the swarm. This helps the diversity of the swarm to be preserved in order to discourage premature convergence. Moreover, the proposed algorithm uses dynamically adjusted Inertia weight to balance global exploration and local exploitation. Simulations were conducted on IEEE 30-bus test systems and compared to other-optimization techniques that reported in the literature. The obtained results demonstrate the superiority of the proposed DRN-PSO compared to other optimization techniques that is reported in the literature. Additional economic benefits with secure settings are fulfilled, while preserving all system constraints within their permissible limits. The proposed algorithm improves the economic issue as well as enhancing the power system operation in the technical point of view with acceptable levels of emissions. So, it can be considered as a promising alternative algorithm for solving problems in practical large scale power systems.
Canonical correlation analysis(CCA) could be utilized for analyzing a linear static process when the input-output relationship is explicitly existing. Based on the canonical variates obtained by the CCA method, a nove...
详细信息
This paper presents a novel essential matrix decomposition method. Firstly, two constructed infinite homographies are affected on the original two views respectively, so that the principal points of the transformed vi...
详细信息
Current state-of-the-art correct-by-design controllers are designed for full-state measurable systems. This work extends the applicability of correct-by-design controllers to partially observable linear, time-invarian...
详细信息
ISBN:
(纸本)9781479978878
Current state-of-the-art correct-by-design controllers are designed for full-state measurable systems. This work extends the applicability of correct-by-design controllers to partially observable linear, time-invariant (LTI) models. Towards the certification of the synthesised controllers, approximate simulation relations are leveraged to attain a quantification for the accuracy of introduced approximations. Additionally, the robustness of the approach allows the extension to models with the presence of probabilistic disturbances on state transitions and on output measurements. In a case study from smart buildings we evaluate the new output-based correct-by-design controller on a physical system with limited sensor information.
In this paper, we consider the distributed robust filtering problem, where estimator design is based on a set of coupled linear matrix inequalities (LMIs). We separate the problem and show that the method of multiplie...
详细信息
In this paper, we consider the distributed robust filtering problem, where estimator design is based on a set of coupled linear matrix inequalities (LMIs). We separate the problem and show that the method of multipliers can be applied to obtain a solution efficiently and in a decentralized fashion, i.e. all local estimators can compute their filter gains locally, with communications restricted to their neighbors.
This paper focuses on the implementation of power electronics algorithms in control platforms based on DSP-FPGA. Today's power electronics technology demands high power computation with high speed interfacing at t...
详细信息
ISBN:
(纸本)9781479978014
This paper focuses on the implementation of power electronics algorithms in control platforms based on DSP-FPGA. Today's power electronics technology demands high power computation with high speed interfacing at the same time. The most popular configuration is a DSP for the former and a FPGA for the latter. The main goal of this work was to develop a generic control system for power electronics application, but it is explained for an active power electronic transformer, which will be an active player in the energy storage, management and production game in the smart grids. Thus, demands for the control system are high, so it is mandatory to have a reliable, fast and user friendly control algorithm basis. The control board (SH363) used in this work contains a SHARC ADSP21363 DSP and a CYCLONE II EP2C8F256I8N FPGA. FPGA as a system interface, critical and non-critical communications between DSP and FPGA, including synchronization, and DSP programming are detailed. Also, a PC interface has been developed for an easy debugging and future system management. The methods used to achieve the maximum loop control frequency and the issues found during the implementation are discussed. The performance of the control board of the active power electronic transformer is verified experimentally.
Advanced driver assistant systems (ADAS) are primarily introduced to increase safety in every day trafic situations. Adaptive cruise control (ACC) systems represent an important example for such ADAS. The worldwide in...
详细信息
Advanced driver assistant systems (ADAS) are primarily introduced to increase safety in every day trafic situations. Adaptive cruise control (ACC) systems represent an important example for such ADAS. The worldwide increasing trafic volume and the demand for the reduction of overall emissions call for the development of ADAS which concern not only safety but also the reduction of vehicle emissions and fuel consumption. In this work a cooperative adaptive cruise control (CACC) approach is introduced which focuses on these goals. A scenario with two consecutive driving vehicles and infrastructure-to-vehicle (I2V) communication is considered. The rear vehicle's longitudinal dynamics are controlled by a nonlinear model predictive control (NMPC) scheme with the target of emission and fuel eficient driving. The prospective velocity of the preceding vehicle is estimated by a prediction model based on the measured inter-vehicle distance and the I2V communication to enable an anticipatory driving behavior for the controlled vehicle. The results of hardware-in-the-loop (HIL) experiments on a dynamic engine test bench are presented and show a significant reduction of vehicle emissions and fuel consumption.
Many researches have worked for the development of automotive technologies, so as to realize a convenient and safety automotive society such as Advanced Safety Vehicle (ASV) and Traffic Monitoring System (TMS). As a r...
详细信息
Many researches have worked for the development of automotive technologies, so as to realize a convenient and safety automotive society such as Advanced Safety Vehicle (ASV) and Traffic Monitoring System (TMS). As a result, traffic accidents have decreased as the years pass, and the number of the dead and injuries have been reduced. However, autonomous driving is not only required to detect bicycles around vehicles, but also expected to understand the behaviors of bicycles. In addition, since the proportion of bicycle accident shows a high percentage in the total traffic accident, it has been predicted an increase of the accident of the bicycle in the future. Therefore we propose a multi-directional bicycle recognition system using the distance information obtained by the stereo camera. In the proposed system, we divide the moving direction of the bicycle into three directions. In addition, we propose a robust feature extraction method on rotation in order to cope with the bicycle between each direction. Finally,we show the experimental results and verify the effectiveness of the proposed method.
This paper addresses the implementation aspects of multivariable algebraic loops which arise naturally in many anti-windup control schemes. Using the machinery of linear complementarity problems, a unified framework i...
详细信息
This paper addresses the implementation aspects of multivariable algebraic loops which arise naturally in many anti-windup control schemes. Using the machinery of linear complementarity problems, a unified framework is developed for establishing well-posedness of such algebraic loops. Enforcing well-posedness is reduced to a feasibility problem that can be solved during the anti-windup design stage. Several existing anti-windup implementations appear as special cases of the unified framework presented in this paper.
暂无评论