Due to the limited energy supply, energy efficiency is the most important issue for wireless sensor networks. In addition, next generation networks are also expected to support QoS sensitive data services. In this pap...
详细信息
Due to the limited energy supply, energy efficiency is the most important issue for wireless sensor networks. In addition, next generation networks are also expected to support QoS sensitive data services. In this paper, a new online sensor network management scheme is developed for energy efficiency and QoS provisioning. To satisfy these conflicting requirements, the proposed scheme consists of clustering and routing algorithms. Without global network information, the online control paradigm is realized in a distributed way. Therefore, the principle contributions of these algorithms are its scalability and responsiveness to current network situations. Simulation results indicate the superior performance of the proposed schemes, while other schemes cannot offer such an attractive performance balance.
The risk of transmission lines overload in the power grid is increasing with the large-scale integration of fluctuating distributed renewable energies. Meanwhile, the requirement for accommodating more distributed res...
详细信息
The risk of transmission lines overload in the power grid is increasing with the large-scale integration of fluctuating distributed renewable energies. Meanwhile, the requirement for accommodating more distributed resources in the future smart grids promotes the transition from the current highly centralized control structure toward a distributed one. In this article, we propose a distributed corrective control approach to mitigate line overloads in a real-time and close-loop manner. Unlike the conventional centralized approach, only simple computation and local information exchange are required to update the local corrective control action. This makes it possible to mitigate line overloads timely and adapt to the topology changes of grids. Furthermore, the introduction of system measurements and security constraints in the proposed algorithm ensures an effective and secure corrective control without new line overloads. The performance of the proposed distributed approach is demonstrated in the IEEE 14-Bus and 118-Bus systems.
In this paper, consensus problem of multiple Euler-Lagrange systems is studied in the presence of both model uncertainties and exogenous disturbance. Only nominal parameters of Lagrange dynamics are assumed to be avai...
详细信息
In this paper, consensus problem of multiple Euler-Lagrange systems is studied in the presence of both model uncertainties and exogenous disturbance. Only nominal parameters of Lagrange dynamics are assumed to be available. A distributed control algorithm combined with the extended state observer, which is adopted to estimate unmodelled dynamics and external disturbance, is first presented in this note such that all the agents can asymptotically reach a consensus. Moreover, the consensus with switching topology is also reachable with the proposed controller. Finally, simulation examples of networked manipulator systems are provided to show the effectiveness of the controller.
In a DC microgrid containing parallel voltage sources, distributed control algorithms such as droop control methods are mainly employed. These controllers depend on the nominal bus voltage and the droop coefficients t...
详细信息
ISBN:
(纸本)9781538683309
In a DC microgrid containing parallel voltage sources, distributed control algorithms such as droop control methods are mainly employed. These controllers depend on the nominal bus voltage and the droop coefficients to operate properly. In the DC microgrid with PV arrays there are uncertainties in the PV current. To analyze the transient behavior of this uncertain system simulation-based techniques cannot be used, since they cannot consider the uncertainties. To analyze the uncertain DC microgrid, reachability analysis is used to find the limits of the system variables from a given state-space model of the system. In this paper, using the state-space model of the DC microgrid, reachability analysis is performed to analyze effectiveness of the droop control method in the existence of uncertainties. Simulation and experimental case studies are performed to verify the reachability analysis results.
This study proposes a distributed control algorithm for coverage in unknown environments with networked mobile sensors. The control law is derived according to the online neural network estimation of the sensory funct...
详细信息
ISBN:
(纸本)9781424453610
This study proposes a distributed control algorithm for coverage in unknown environments with networked mobile sensors. The control law is derived according to the online neural network estimation of the sensory function of the environments. In contrary to previous adaptive approaches, a major advantage of the proposed method is that due to the neural network nonlinear approximation property, it is not restricted to multi Gaussian sensory functions. Simulation results show that the proposed controller outperforms the previous adaptive approaches in the sense of performance and convergence rate.
Asset protection is a behavior in which a team of robots establishes a formation around a resource marked as an asset in a hostile environment in order to protect the asset from threats. The robots are assumed to be h...
详细信息
Asset protection is a behavior in which a team of robots establishes a formation around a resource marked as an asset in a hostile environment in order to protect the asset from threats. The robots are assumed to be homogeneous and run a decentralized controlalgorithm and possess a repulsive quality to the threats. Previous works in this area have used centralized control or considered the use of many robots. This work aims at developing an algorithm that is both decentralized, and able to protect assets using only a few robots. In order to provide this behavior an algorithm coined the Asset Guarding Intelligent System (AeGIS), was developed and analyzed. Using AeGIS, each robot will detect an asset move towards it and form a protective formation around it. AeGIS utilizes Quadratic Artificial Potential Fields (QAPFs) as the robot’s path planning module. As such the fields are designed to move the robots into formation, avoid collisions, and in turn protect assets. AeGIS is tested using Leviathan—an event-driven simulator designed to test groups of autonomous swarm robots employing distributed control algorithms. The success rate of different variations of AeGIS were tested. Additionally, the number of threats, robots employing AeGIS, and the number and mobility of assets were varied to observe their effect on the success rate. The simulation results show that with sufficient number of robots, the assets, static or mobile are well protected against 20 modeled threats. Through these results it is shown that AeGIS is a solution to the asset protection problem.
Cluster control system to realize mutual coordination between individual objects must determine the control and the information relationship in terms of logical and physical aspects. Study these problems of the system...
详细信息
Cluster control system to realize mutual coordination between individual objects must determine the control and the information relationship in terms of logical and physical aspects. Study these problems of the system structure, system structure and control can be combined and ensure smooth information flow and control flow in the system and the framework for the interaction between the individual. Cluster controlalgorithm ensure cooperation among multiple control individual effectively, to deal with an emergency to be able to react quickly, improve the real-time performance and effectiveness of control system. This paper proposed a new methodology to Group Intelligence control by using a distributed control algorithm and a Swarm Intelligence algorithm to optimize the path of the individual of the cluster and the real-time control of each object. In the first part of this paper, we introduced the appearance and the development of Group Intelligence control system. Then, the paper proposed our methodology of the proposed Group Intelligence control system.
暂无评论