Designing a Neuro-Sliding Mode Controller for Networked Control Systems with Packet Dropout
Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_IJE-29-4_007
تاریخ نمایه سازی: 12 دی 1395
Abstract:
This paper addresses control design in networked control system by considering stochastic packetdropouts in the forward path of the control loop. The packet dropouts are modelled by mutuallyindependent stochastic variables satisfying Bernoulli binary distribution. A sliding mode controller isutilized to overcome the adverse influences of stochastic packet dropouts in networked controlsystems. Firstly, to determine the parameters of switching function used in the sliding mode controldesign, an improved genetic algorithm is applied. The proposed improved genetic algorithm provides afast convergence rate and a proper dynamic performance in comparison with conventional geneticalgorithms especially in online control applications. Then, an adaptive neural sliding mode controlbased on radial-basis function neural network approximation is proposed to eliminate chatteringphenomenon in the sliding mode control. A numerical example is given to illustrate the effectivenessof the proposed controller in networked control systems. The results show that the proposed controllerprovides high-performance dynamic characteristics and robustness against plant parameter variationsand external disturbances.
Keywords:
Networked Control SystemsPacket DropoutsSliding Mode ControlGenetic AlgorithmRadial-basis Function Neural Network
Authors
M.H Vali
Facultyof Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
B Rezaie
Facultyof Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran
Z Rahmani
Facultyof Electrical and Computer Engineering, Babol Noshirvani University of Technology, Babol, Iran