In order to damp the load oscillation, a DE optimal PID controller is designed for overhead crane control *** by bee colony foraging mechanism, a neighborhood search operation is adopted for differential evolution(DE)...
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ISBN:
(纸本)9781467374439
In order to damp the load oscillation, a DE optimal PID controller is designed for overhead crane control *** by bee colony foraging mechanism, a neighborhood search operation is adopted for differential evolution(DE) algorithm to improve the search efficiency. This improved DE algorithm is employed to adjust PID controller parameters off-line. Through simulation and comparison under different operation conditions, the DE based PID controller exhibits the better performance in overhead crane anti-swing and position control.
作者:
Xia Yuanqingthe School of Automation
Beijing Institute of Technology State Key Laboratory of Intelligent Control and Decision of Complex Systems Beijing 100081
The concept of cloud controlsystems is discussed in this paper, which is an extension of networked controlsystems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key rol...
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The concept of cloud controlsystems is discussed in this paper, which is an extension of networked controlsystems (NCSs). With the development of internet of things (IOT), the technology of NCSs has played a key role in IOT. At the same time, cloud computing is developed rapidly, which provides a perfect platform for big data processing, controller design and performance assessment. The research on cloud controlsystems will give new contribution to the control theory and applications in the near future.
This paper introduces identification algorithms for finite impulse response systems under quantized output observations and general quantized inputs. While asymptotically efficient algorithms for quantized identificat...
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The stator transient DC flux component emerges in the Double Fed Induction Generator (DFIG) following grid voltage dip, which results in an important influence on the controllability of rotor converter. In this paper,...
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ISBN:
(纸本)9781467388634
The stator transient DC flux component emerges in the Double Fed Induction Generator (DFIG) following grid voltage dip, which results in an important influence on the controllability of rotor converter. In this paper, the research focuses on the responding time of the dynamic reactive current injection referring to DFIG with the crowbar protection under Zero Voltage Ride-Through (ZVRT). Firstly, theoretical analysis about the shortest quitting time of crowbar is carried out. Then, combined with crowbar protection and demagnetization control, ZVRT of DFIG is achieved as well as the fast injection of dynamic reactive current. Finally, the simulation results are presented to verify the theoretical analysis and the proposed control strategy. It is helpful to enhance fault ride through capability of DFIG.
The isometric feature mapping(Isomap) is one of the widely used low-dimensional embedding methods. However, Isomap has three bottlenecks: sensitivity to outliers, high computational complexity and topological instabil...
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ISBN:
(纸本)9781510806450
The isometric feature mapping(Isomap) is one of the widely used low-dimensional embedding methods. However, Isomap has three bottlenecks: sensitivity to outliers, high computational complexity and topological instability caused by short-circuit edges. To address above problems, by introducing the concepts of linear patch(LP) and k-nearest center(k-NC), a LP-center based Isomap(LPC-Isomap) approach is proposed in this paper. Firstly, before constructing a neighborhood graph, outliers are eliminated by LPC-Isomap. Then LP-centers are selected reasonably as landmark points by LPC-Isomap to reduce computational complexity. We compute the intersections between k-NC of each pair of points. If an intersection is empty, the edge connecting the corresponding pair of points is considered as a short-circuit edge. Lastly, the useful behavior of LPC-Isomap is verified through numerical examples with several data sets.
This paper studies a coordinated transportation problem of a group of unmanned ground vehicles(UGVs). These ground vehicles belong to two categories: master vehicles and slave vehicles. A two-step strategy is proposed...
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ISBN:
(纸本)9781467374439
This paper studies a coordinated transportation problem of a group of unmanned ground vehicles(UGVs). These ground vehicles belong to two categories: master vehicles and slave vehicles. A two-step strategy is proposed to solve this problem. First, let the master vehicles move along ideal trajectories. Then, let the slave vehicles move into the area surrounded by master vehicles and move together with them. By the two-step strategy, the coordinated transportation problem is divided into a tracking problem and a containment problem. A P In-type tracking protocol and a P In-type containment protocol(P and I stand for Proportion and Integration, respectively;Inimplies that the protocol includes high-order integral terms) are proposed to solve these two problems. It is proved that the coordinated transportation problem can be solved by two proposed protocols with proper parameters if for each follower there exists at least one leader which has a directed path to this follower. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed algorithms.
This brief presents a new distributed scheme to solve the consensus problem for a group of agents if neither their absolute states nor inter-agent relative states are available. The new scheme considers a random parti...
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Previous work on process monitoring has shown that process nonlinearity can be overcome by neural networks(NN) model. But it's difficult to train a NN model that has good generalization capabilities in process mon...
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Previous work on process monitoring has shown that process nonlinearity can be overcome by neural networks(NN) model. But it's difficult to train a NN model that has good generalization capabilities in process monitoirng. In this paper, a NN model called Auto-Encoder(AE) is introdued to model the process behavior, then a robust training method is proposed based on the idea of making the learned model robust to the noisy training *** analysis shows that the proposed Robust Auto-Encoder(RAE) is equal to a regularized AE which can capture nonlinear variations in the training data. Based on this, a corresponding statistic is introduced for *** case studies are provided for performance evaluation of the proposed method.
This paper discusses a typical supply chain system based on Auto- Regressive Integrated Moving Average (ARIMA) demand process. Minimum Mean Square Error principle and stochastic optimal control theory are introduced t...
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Time synchronization protocols are widely used in industrialcontrolsystems. As the development of network technology, various types of attacks have occurred. Among them, delay attacks are less studied. In this paper...
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