Precision position control of servo systems using adaptive back-stepping and recurrent fuzzy neural networks

Kim, Han Me; Han, Seong-Ik; Kim, Jong Shik

doi:10.1007/s12206-009-0907-1

Cited by 13 publications

(4 citation statements)

References 10 publications

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“…By substituting equations ( 22) and ( 23) into equation (21), equation ( 21) can be rewritten as follows…”

Section: R E T R a C T E Dmentioning

confidence: 99%

“…The prime drawback of the used FNN is only applied in static mapping problem due to their feedforward network structure. Therefore, the neural adaptive backstepping tracking control, 19 the adaptive control combined with FNN, 20 the adaptive backstepping control using recurrent FNN 21 and the adaptive backstepping sliding mode control using recurrent wavelet FNN 22 are developed to improve these problems. However, this control strategy lacks a good regulated method of the learning rates.…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED: Integral backstepping control with RRFNN and MPSO of LPMSM drive system

Lin

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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A linear permanent magnet synchronous motor drive system is existed in many nonlinear effects such as the external load force, the flux saturation, the cogging force, the column friction and Stribeck force, and the parameters variations. Due to the uncertainty effects, the linear permanent magnet synchronous motor drive system is hard to achieve the good control performance by using linear controller. To raise robustness under occurrence of uncertainty, the integral backstepping control system with hitting function is first proposed for controlling the linear permanent magnet synchronous motor drive system. The used integrator can ameliorate the system’s robustness under the parameters uncertainties and external force disturbances. To reduce vibration of control strength, the integral backstepping control system by means of the revised recurrent fuzzy neural network with mended particle swarm optimization is next proposed to operate the linear permanent magnet synchronous motor drive system to raise robustness of system. Furthermore, four variable learning rates in the weights of the revised recurrent fuzzy neural network are adopted by using mended particle swarm optimization to speed up parameter’s convergence. Finally, comparative performances through some experimental upshots are verified that the integral backstepping control system by means of revised recurrent fuzzy neural network with mended particle swarm optimization has better control performances than those of the proposed methods for the linear permanent magnet synchronous motor drive system.

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“…By substituting equations ( 22) and ( 23) into equation (21), equation ( 21) can be rewritten as follows…”

Section: R E T R a C T E Dmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

RETRACTED: Integral backstepping control with RRFNN and MPSO of LPMSM drive system

Lin

2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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“…Bidirectional operation [84] Discontinuity of speed zero Eliminate movement discontinuities One-way, low-speed operation [85] Crawling phenomenon Eliminate crawling One-way, high-speed operation [86] Large following error Reduce/eliminate following error Overall, regardless of the control strategy used, it is necessary to enable the servo system to achieve the corresponding performance index. Therefore, it is necessary to select the corresponding control strategy according to the performance index.…”

Section: System Characteristics Friction Effect Compensation Purposementioning

confidence: 99%

A Review of Key Technologies for Friction Nonlinearity in an Electro-Hydraulic Servo System

et al. 2022

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In a high-precision servo system, the nonlinear friction link is the key factor affecting the system performance. Reasonable solving of the friction link in servo systems has become a focus of current research. This paper summarizes the friction nonlinearity that affects the control performance of servo systems. First, the characteristics of friction are summarized, and the advantages and disadvantages of typical friction models in recent years are analyzed. Subsequently, existing friction model parameter identification methods are introduced and evaluated. On this basis, the development level of the friction nonlinear control strategy is analyzed from three aspects: friction model-based control, friction model-free control, and compound control. Finally, the objective advantages and disadvantages of the existing technology are summarized, and the future development direction of the friction model and selection reference for the nonlinear friction control strategy are comprehensively discussed.

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“…The electric cylinder has been widely applied in military, medical, and industrial equipment because of high transmission efficiency, excellent dynamic characteristic, high reliability, good environmental adaptability, compact structure, and simple operation and maintenance [3][4][5]. Due to load disturbance, parameter variations, friction, and other nonlinear factors in the position servo system, robust control, fuzzy control, self-adaptive control, internal model control, and sliding mode control can greatly improve the stability and anti-interference ability [6][7][8][9][10][11][12][13][14][15][16][17]. But these nonlinear control algorithms are very difficult to be applied in the PLC controller or high accuracy real-time control system because of the complexity.…”

Section: Introductionmentioning

confidence: 99%

Research of Control Strategy in the Large Electric Cylinder Position Servo System

Liu

Gao

Yang

2015

Mathematical Problems in Engineering

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An ideal positioning response is very difficult to realize in the large electric cylinder system that is applied in missile launcher because of the presence of many nonlinear factors such as load disturbance, parameter variations, lost motion, and friction. This paper presents a piecewise control strategy based on the optimized positioning principle. The combined application of position interpolation method and modified incremental PID with dead band is proposed and applied into control system. The experimental result confirms that this combined control strategy is not only simple to be applied into high accuracy real-time control system but also significantly improves dynamic response, steady accuracy, and anti-interference performance, which has very important significance to improve the smooth control of the large electric cylinder.

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Precision position control of servo systems using adaptive back-stepping and recurrent fuzzy neural networks

Cited by 13 publications

References 10 publications

RETRACTED: Integral backstepping control with RRFNN and MPSO of LPMSM drive system

RETRACTED: Integral backstepping control with RRFNN and MPSO of LPMSM drive system

A Review of Key Technologies for Friction Nonlinearity in an Electro-Hydraulic Servo System

Research of Control Strategy in the Large Electric Cylinder Position Servo System

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