Adaptive inverse control of linear motor based on ANFIS

Tao Cai; Ruicai Huo; Feng Pan

Adaptive inverse control of linear motor based on ANFIS

Tao Cai^*
, Ruicai Huo
, Feng Pan

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

The plant studied in this paper is a servo platform vertically driven by a permanent magnet synchronous linear motor (PMSLM). Due to the passive influence of the nonlinear factors such as imbalance torque, friction, static resistance torque and inertia change, an inverse control method based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to improve the system performance. The ANFIS is adopted to design the nonlinear controller, which has the inverse transfer function of the plant. Normally, there is no direct feedback in the control loop, except that in the adjustment period, the plant output is monitored and utilized by an adaptive algorithm to adjust the parameters of the controller. Simulation and experimental results verify that the method can overcome the adverse effects of nonlinear factors.

Original language	English
Title of host publication	Proceedings of the 29th Chinese Control Conference, CCC'10
Pages	2182-2186
Number of pages	5
Publication status	Published - 2010
Event	29th Chinese Control Conference, CCC'10 - Beijing, China Duration: 29 Jul 2010 → 31 Jul 2010

Publication series

Name	Proceedings of the 29th Chinese Control Conference, CCC'10

Conference

Conference	29th Chinese Control Conference, CCC'10
Country/Territory	China
City	Beijing
Period	29/07/10 → 31/07/10

Keywords

ANFIS
Inverse control
Linear motor
Open-loop control

Cite this

@inproceedings{a729acae5226448888ec62cbae61b747,

title = "Adaptive inverse control of linear motor based on ANFIS",

abstract = "The plant studied in this paper is a servo platform vertically driven by a permanent magnet synchronous linear motor (PMSLM). Due to the passive influence of the nonlinear factors such as imbalance torque, friction, static resistance torque and inertia change, an inverse control method based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to improve the system performance. The ANFIS is adopted to design the nonlinear controller, which has the inverse transfer function of the plant. Normally, there is no direct feedback in the control loop, except that in the adjustment period, the plant output is monitored and utilized by an adaptive algorithm to adjust the parameters of the controller. Simulation and experimental results verify that the method can overcome the adverse effects of nonlinear factors.",

keywords = "ANFIS, Inverse control, Linear motor, Open-loop control",

author = "Tao Cai and Ruicai Huo and Feng Pan",

year = "2010",

language = "English",

isbn = "9787894631046",

series = "Proceedings of the 29th Chinese Control Conference, CCC'10",

pages = "2182--2186",

booktitle = "Proceedings of the 29th Chinese Control Conference, CCC'10",

note = "29th Chinese Control Conference, CCC'10 ; Conference date: 29-07-2010 Through 31-07-2010",

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TY - GEN

T1 - Adaptive inverse control of linear motor based on ANFIS

AU - Cai, Tao

AU - Huo, Ruicai

AU - Pan, Feng

PY - 2010

Y1 - 2010

N2 - The plant studied in this paper is a servo platform vertically driven by a permanent magnet synchronous linear motor (PMSLM). Due to the passive influence of the nonlinear factors such as imbalance torque, friction, static resistance torque and inertia change, an inverse control method based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to improve the system performance. The ANFIS is adopted to design the nonlinear controller, which has the inverse transfer function of the plant. Normally, there is no direct feedback in the control loop, except that in the adjustment period, the plant output is monitored and utilized by an adaptive algorithm to adjust the parameters of the controller. Simulation and experimental results verify that the method can overcome the adverse effects of nonlinear factors.

AB - The plant studied in this paper is a servo platform vertically driven by a permanent magnet synchronous linear motor (PMSLM). Due to the passive influence of the nonlinear factors such as imbalance torque, friction, static resistance torque and inertia change, an inverse control method based on Adaptive Neuro-Fuzzy Inference System (ANFIS) is applied to improve the system performance. The ANFIS is adopted to design the nonlinear controller, which has the inverse transfer function of the plant. Normally, there is no direct feedback in the control loop, except that in the adjustment period, the plant output is monitored and utilized by an adaptive algorithm to adjust the parameters of the controller. Simulation and experimental results verify that the method can overcome the adverse effects of nonlinear factors.

KW - ANFIS

KW - Inverse control

KW - Linear motor

KW - Open-loop control

UR - https://www.scopus.com/pages/publications/78650243857

M3 - Conference contribution

AN - SCOPUS:78650243857

SN - 9787894631046

T3 - Proceedings of the 29th Chinese Control Conference, CCC'10

SP - 2182

EP - 2186

BT - Proceedings of the 29th Chinese Control Conference, CCC'10

T2 - 29th Chinese Control Conference, CCC'10

Y2 - 29 July 2010 through 31 July 2010

ER -

Adaptive inverse control of linear motor based on ANFIS

Abstract

Publication series

Conference

Keywords

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