An aero-engine U-control method based on LPV model

21st IFAC World Congress on Automatic Control - Meeting Societal Challenges -- JUL 11-17, 2020 -- ELECTR NETWORKDue to the harsh working environment and various constraints, the engine control unit (ECU) has very limited computational ability and few control methods can be applied to the real-word ECU maturely. Developing advanced control methods with good performance as well as low computational complexity is the research focus in the control area for the next generation aero-engines. The study reported in this paper combines the LPV model of aero-engine process with U-model control concept, which simplifies solving difficulty and avoids complexity of traditional LPV variable-gain controller. The results of Matlab-Simulink simulations demonstrate clearly this U-control method based on LPV model can be successfully used for designing quality aero-engine speed control system. It ensures a good control performance while guaranteeing stable operation in the proximity of chosen equilibrium steady-state thus demonstrating a considerable application potential. Copyright (C) 2020 The Authors.Int Federat Automat Control, Siemens, Bayer, ABB, MathWorks, Phoenix Contact, Ifak Technol, Berlin Heart, Elsevier, De Gruyter, Tele Medi Gmb

Network Traffic Prediction Using Variational Mode Decomposition and Multi-Reservoirs Echo State Network

The network traffic prediction is significant for the network load pre-warning and network congestion control. But the nonlinearity and nonstationarity of the actual network traffic data would reduce the prediction accuracy. In this paper, an optimized network traffic prediction method using variational mode decomposition (VMD) and multi-reservoirs echo state network (ESN) is presented. VMD method has advantages of reducing the signal transmission errors, removing the mode aliasing, and decreasing the degree of endpoint effects. However, VMD needs to preset the number of modes and the iterative factor, which are mainly decided by subjective experiences. In order to solve this, an optimized VMD method is proposed, and then a multi-reservoirs echo state network based prediction model is constructed. The main works are as follows: First, VMD is used to decompose the original network traffic data into several subsets; then, multiple subreservoirs are built after the phase space reconstruction (PSR) of each data subset; finally, the training set is used to train the prediction model. Moreover, in the training process, an improved fruit fly optimization algorithm (IFOA) is proposed combined with the levy's flight function and the cloud generator, which is used to optimize some model parameters. Compared with several prediction models, the proposed VMD-IFOA-ESN has better predictive stability and convergence performance. Three WIDE backbone network traffic data sets with different time intervals verify the effectiveness of the proposed prediction model.National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61773108, 61403040]; Fund for Science of Dogus UniversityThis work was supported in part by the National Natural Science Foundation of China under Grant 61773108 and Grant 61403040, and in part by the Fund for Science of Dogus University

Synchronisation for multi-network with two types of inter-network coupling faults: pinning control effects

Investigation of simultaneous occurrence of permanent and/or recoverable faults of coupled nodes within different networks in a larger network structure is an appealing timely research topic. For the modelling of such a multi-network structure, the coupling terms in the same network and the coupling terms among different networks are described separately in order to explain clearly the multi-network feature here. The dimension-transformation matrix is used to deal with the mismatched dimensions of nodes in the different networks. Then a synchronisation controller is designed from the underlying theory of pinning control schemes. Furthermore, following the ideas of Lyapunov stability theory, a sufficient stability condition under the pinning control is derived which guarantees nodes in the same network synchronisation. Computer simulation results for a numerical case study of three coupled networks with nodes that possess rather complex non-linear dynamics demonstrate that the proposed controllers can enforce synchronisation despite different types of faults being occurred in the multi-network. It is also shown that the specific pinning control scheme is more effective than the random pinning.National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61473073, 61433014]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [N161702001, N182608003, N181706001, N171706003]This work was partially supported by the National Natural Science Foundation of China (61473073, 61433014) and Fundamental Research Funds for the Central Universities (N161702001, N182608003, N181706001, N171706003)