Intelligent Optimal Recurrent Wavelet Elman Neural Network Control System for Permanent-Magnet Synchronous Motor Servo Drive

El-Sousy, Fayez F. M.

doi:10.1109/tii.2012.2230638

Cited by 96 publications

(51 citation statements)

References 62 publications

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“…With the conditions (19), (30), and (31), it is concluded that inequality (27) can be implied by condition (18). Moreover, because of (26) holding, it is obtained that there is always a > 0 such that…”

Section: Theoremmentioning

confidence: 92%

“…Meanwhile, it is known from (38) that G is nonsingular, and the inverse terms N P 1 and Z 1 are also handled by (30) and (31). Then, inequality (48) is equivalent to 2 (49), it is obtained that condition (38) implies (50).…”

Section: Proofmentioning

confidence: 99%

“…2647 [21][22][23][24][25]. The other research topics on delayed systems were often related to networked control systems [26][27][28][29][30][31][32][33][34], complex networks [35][36][37][38][39][40][41], and Markovian jump systems [42][43][44][45][46]. Particularly, there is a special kind of time delay for Markovian jump systems, which is named as mode-dependent time delay.…”

mentioning

confidence: 99%

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A partially delay‐dependent and disordered controller design for discrete‐time delayed systems

Wang

Zhang

et al. 2016

Intl J Robust & Nonlinear

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Summary This paper considers the stabilization problem for a class of discrete‐time delayed systems by exploiting a partially delay‐dependent controller whose gains suffer a disordering phenomenon simultaneously. Two stochastic variables are used to describe the partially delay‐dependent and disordering properties, which are not independent, and referred to the original operation modes here. By introducing an augmented Markov chain, the corresponding closed‐loop system is transformed into a Markovian jump system with four new operation modes (NOMs). Based on the proposed model, a kind of controller depending on NOMs is firstly proposed with linear matrix inequalities forms. Moreover, without designing a controller containing NOMs directly, another kind of stabilizing controller referring to one depending on original operation modes is developed, which is composed of a series of NOM‐dependent controllers and satisfies a minimum variance approximation. Finally, two numerical examples are used to demonstrate the utility and superiority of the proposed methods. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Theoremmentioning

confidence: 92%

Section: Proofmentioning

confidence: 99%

mentioning

confidence: 99%

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A partially delay‐dependent and disordered controller design for discrete‐time delayed systems

Wang

Zhang

et al. 2016

Intl J Robust & Nonlinear

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“…Many researchers have proposed a bunch of advanced PMSM control methods, e.g., model predictive control [1]- [2], sliding mode control [3]- [5], internal model control [6], adaptive control [7]- [9], nonlinear feedback linearization control [10], nonlinear optimal control [11], fuzzy control [12]- [17], neural network control [18]- [19]. However, it should be noted that conventional proportional-integralderivative (PID) control methods are still popular because they are very simple and they usually work well on some operation points [20].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Evolutionary Fuzzy PID Speed Controller for PM Synchronous Motor

Choi

Yun

Kim

2015

IEEE Trans. Ind. Inf.

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We develop an evolutionary fuzzy proportionalintegral-derivative (PID) controller for a permanent magnet synchronous motor (PMSM). We first consider a fuzzy PID control design problem based on the common control engineering knowledge that good transient performances can be obtained by increasing the P and I gains and decreasing the D gain when the transient error is big. Then we give an evolutionary algorithm (EA) to autotune the control parameters of the fuzzy PID controller. We implement the proposed EA-based fuzzy PID control controller in real time on a Texas Instruments TMS320F28335 floating-point DSP. We also give simulation and experimental results to show the effectiveness of the proposed intelligent digital control system under abrupt load torque variation using a prototype PMSM.

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“…The researches of motor driving systems have been mostly concentrated on load tracking control of single motor. Many different advanced control schemes were proposed to attain precise position tracking, such as H 1 control [19,20] and intelligent control [21]. However, because of the existence of speed synchronization problem, there are many issues as the algorithms based on single motor are directly applied on multi-motor driving systems, which may result in motors collision and weaken system performances.…”

Section: Introductionmentioning

confidence: 99%

Synchronization and tracking control for multi‐motor driving servo systems with backlash and friction

Zhao

Ren

Gao

2015

Intl J Robust & Nonlinear

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SUMMARYThis paper presents a novel switching controller incorporated with backlash and friction compensations, which is utilized to achieve speed synchronization among multi-motor and load position tracking. The proposed controller consists of two parts: synchronization and tracking control in contact mode and robust control in backlash mode, where a function characterizing whether backlash occurs is used for switching between two modes. Using the proposed switching controller, several control objectives are achieved. Firstly, the coupling problem of speed synchronization and load tracking in contact mode is addressed by introducing a switching plane. Secondly, based on the switching plane, an improved prescribed performance function is introduced to attain load tracking with prescribed performances, and L 1 performance of speed synchronization is guaranteed by initialization method, maintaining the transient performance of synchronization behavior. Thirdly, the lumped uncertain nonlinearity including friction and other uncertain functions is compensated by Chebyshev neural network in contact mode. Furthermore, a robust control is adopted in backlash mode to make system traverse backlash at an exponential rate and simultaneously eliminate lowspeed crawling phenomenon of LuGre friction. Finally, comparative simulations on four-motor driving servo system are provided to verify the effectiveness and reliability.

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Intelligent Optimal Recurrent Wavelet Elman Neural Network Control System for Permanent-Magnet Synchronous Motor Servo Drive

Cited by 96 publications

References 62 publications

A partially delay‐dependent and disordered controller design for discrete‐time delayed systems

A partially delay‐dependent and disordered controller design for discrete‐time delayed systems

Implementation of Evolutionary Fuzzy PID Speed Controller for PM Synchronous Motor

Synchronization and tracking control for multi‐motor driving servo systems with backlash and friction

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