Application of backstepping single neuron PID compound control to servo system

Ya Jun Guo; Da Wei Ma; Xiao Feng Wang; Gui Gao Le

Application of backstepping single neuron PID compound control to servo system

Ya Jun Guo, Da Wei Ma^*, Xiao Feng Wang, Gui Gao Le

^*Corresponding author for this work

Nanjing University of Science and Technology

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

Abstract

In view of wide variations of inertia moment and loads and large disturbed moment in a rocket launcher position servo system, backstepping single neuron proportion-intergration-differentiation(PID)compound control is presented. The online parameter adjustments of the proportion, integral and differential of the conventional PID controller are realized by the single neuron PID, achieving the adaptive control of the system. The backstepping algorithm can guarantee the big system error converges to set value quickly and improves the adaptive ability. Simulation and experimental results show that the compound control strategy has better stabilization and dynamical tracking accuracy.

Original language	English
Pages (from-to)	693-696+701
Journal	Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology
Volume	35
Issue number	5
Publication status	Published - Oct 2011
Externally published	Yes

Keywords

Backstepping
Parameters perturba-tion
Permanent magnet synchronous motor
Proportion-intergration-differentiation
Single neuron

Cite this

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title = "Application of backstepping single neuron PID compound control to servo system",

abstract = "In view of wide variations of inertia moment and loads and large disturbed moment in a rocket launcher position servo system, backstepping single neuron proportion-intergration-differentiation(PID)compound control is presented. The online parameter adjustments of the proportion, integral and differential of the conventional PID controller are realized by the single neuron PID, achieving the adaptive control of the system. The backstepping algorithm can guarantee the big system error converges to set value quickly and improves the adaptive ability. Simulation and experimental results show that the compound control strategy has better stabilization and dynamical tracking accuracy.",

keywords = "Backstepping, Parameters perturba-tion, Permanent magnet synchronous motor, Proportion-intergration-differentiation, Single neuron",

author = "Guo, {Ya Jun} and Ma, {Da Wei} and Wang, {Xiao Feng} and Le, {Gui Gao}",

year = "2011",

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T1 - Application of backstepping single neuron PID compound control to servo system

AU - Guo, Ya Jun

AU - Ma, Da Wei

AU - Wang, Xiao Feng

AU - Le, Gui Gao

PY - 2011/10

Y1 - 2011/10

N2 - In view of wide variations of inertia moment and loads and large disturbed moment in a rocket launcher position servo system, backstepping single neuron proportion-intergration-differentiation(PID)compound control is presented. The online parameter adjustments of the proportion, integral and differential of the conventional PID controller are realized by the single neuron PID, achieving the adaptive control of the system. The backstepping algorithm can guarantee the big system error converges to set value quickly and improves the adaptive ability. Simulation and experimental results show that the compound control strategy has better stabilization and dynamical tracking accuracy.

AB - In view of wide variations of inertia moment and loads and large disturbed moment in a rocket launcher position servo system, backstepping single neuron proportion-intergration-differentiation(PID)compound control is presented. The online parameter adjustments of the proportion, integral and differential of the conventional PID controller are realized by the single neuron PID, achieving the adaptive control of the system. The backstepping algorithm can guarantee the big system error converges to set value quickly and improves the adaptive ability. Simulation and experimental results show that the compound control strategy has better stabilization and dynamical tracking accuracy.

KW - Backstepping

KW - Parameters perturba-tion

KW - Permanent magnet synchronous motor

KW - Proportion-intergration-differentiation

KW - Single neuron

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JO - Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology

JF - Nanjing Li Gong Daxue Xuebao/Journal of Nanjing University of Science and Technology

IS - 5

ER -

Application of backstepping single neuron PID compound control to servo system

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Keywords

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