Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive

El-Sousy, Fayez F. M.

doi:10.1109/tii.2013.2238546

Cited by 106 publications

(36 citation statements)

References 92 publications

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“…Shitie Zhao et al propose to approximate the unknown nonlinear function by affine-type NN. 9 Radial basis functions NNs are applied to approximate the continuous function 7,10 Since wind varies in dynamic environment. In order to meet with the online approximation requirement, the back propagation NNs (BPNNs) are utilized to approximate the wind effect.…”

Section: Introductionmentioning

confidence: 99%

Decentralized cooperative unmanned aerial vehicles conflict resolution by neural network-based tree search method

Yang

Yin

Cheng

et al. 2016

International Journal of Advanced Robotic Systems

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In this article, a tree search algorithm is proposed to find the near optimal conflict avoidance solutions for unmanned aerial vehicles. In the dynamic environment, the unmodeled elements, such as wind, would make UAVs deviate from nominal traces. It brings about difficulties for conflict detection and resolution. The back propagation neural networks are utilized to approximate the unmodeled dynamics of the environment. To satisfy the online planning requirement, the search length of the tree search algorithm would be limited. Therefore, the algorithm may not be able to reach the goal states in search process. The midterm reward function for assessing each node is devised, with consideration given to two factors, namely, the safe separation requirement and the mission of each unmanned aerial vehicle. The simulation examples and the comparisons with previous approaches are provided to illustrate the smooth and convincing behaviours of the proposed algorithm.

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Section: Introductionmentioning

confidence: 99%

Decentralized cooperative unmanned aerial vehicles conflict resolution by neural network-based tree search method

Yang

Yin

Cheng

et al. 2016

International Journal of Advanced Robotic Systems

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“…The assumption of known uncertainty bounds is necessary to design the proposed sliding mode control system [23]. In the previous works [24], a recurrent radial basis function network (RRBFN) uncertainty observer is designed to estimate the bound of lumped uncertainty. But, the disadvantages of the structure are complex network structure and inference mechanism.…”

Section: Introductionmentioning

confidence: 99%

Speed tracking and synchronization of multiple motors using ring coupling control and adaptive sliding mode control

Sun

Zhang

et al. 2015

ISA Transactions

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“…However, the PID controller cannot provide perfect control performance if the controlled system is highly nonlinear and uncertain as in the case of IM. In addition, an objection to the real-time use of such control scheme is the lack of knowledge of uncertainties (El-Sousy 2013).…”

Section: Introductionmentioning

confidence: 99%

“…This switching strategy often in the hitting control law (Slotine and Li 1991;Rao et al 2009;Astrom and Wittenmark 1995;Corradini et al 2012;El-Sousy 2013).…”

Section: Introductionmentioning

confidence: 99%

Contribution to Study Performance of the Induction Motor by Sliding Mode Control and Field Oriented Control

Assia

Toufouti

Dib

2014

Advances and Applications in Sliding Mode Control Systems

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The induction motor squirrel cage that is deemed by its strength, high torque mass, robustness, and its relatively low cost ... etc., meanwhile, it benefited from the support of industry since its invention (invention by Tesla the late nineteenth century). Unfortunately, these advantages are accompanied by a high complexity of the physical interactions between the stator and the rotor. Therefore, dynamic control requires complex control algorithms in contrast to its structural simplicity. In recent decades, many techniques of control of the induction machine, such as technical oriented control or Field Oriented control, have emerged and are currently used to enjoy the benefits of the asynchronous machine for applications where variable speed is essential. The high operating control of the induction machine began with the invention of the oriented vector control in the late 60s flux. Before that time control of the induction machine was limited to scalar commands. This operating control does not provide a decoupling between the flux and torque. To illustrate this, the torque of a cage induction motor has to be increased by increasing the slip, the flux is affected by a decrease; therefore the torque control is dependent of the stream, for this the inherent coupling between these two variables makes conventional techniques less efficient. To solve these problems this paper seeks to analyze dynamical performances and sensitivity to induction motor parameter changes, two techniques are applied Sliding Mode Control and Field Oriented Control. For this, this design on the basis of some simulations results is illustrated with different functions in order to illustrate its efficiency and make comparison between the two techniques; Numerical simulations are presented to validate the proposed methods. The objective of this paper is to guarantee the desired performance of the induction motor, robust to the parameters variations, disturbances, and reach the speed of rotation at the speed desired in a minimum response time. Nomenculturer, s : Subscripts stand for rotor and stator;

show abstract

Adaptive Dynamic Sliding-Mode Control System Using Recurrent RBFN for High-Performance Induction Motor Servo Drive

Cited by 106 publications

References 92 publications

Decentralized cooperative unmanned aerial vehicles conflict resolution by neural network-based tree search method

Decentralized cooperative unmanned aerial vehicles conflict resolution by neural network-based tree search method

Speed tracking and synchronization of multiple motors using ring coupling control and adaptive sliding mode control

Contribution to Study Performance of the Induction Motor by Sliding Mode Control and Field Oriented Control

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