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Improved Particle Swarm Optimization by Updating Constraints of PID Control for Real Time Linear Motor Positioning


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Abstract

This paper proposes an Improved Particle Swarm Optimization (IPSO) technique for adjusting the gains of a Proportional-Integral-Derivative PID controller. The new approach introduces particle space constraints to improve velocity updating performance and position updating capability. This study presents numerical simulations and experimental results based on PID, PSO-PID, and IPSO-PID control systems. Real time experimental results show that the proposed IPSO algorithm has great computational convergence and ensures the stability of the controlled system without strict constraints on updating velocity. Tests on a linear synchronous motor (LSM) using a digital signal Microchip (dsPIC) processor demonstrate the effectiveness and robustness in positioning with disturbance excitation.


Keywords


Pages

Total Pages: 13
Pages: 425-437

DOI
10.1080/10798587.2013.796624


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Published

Volume: 19
Issue: 3
Year: 2013

Cite this document


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JOURNAL INFORMATION


ISSN PRINT: 1079-8587
ISSN ONLINE: 2326-005X
DOI PREFIX: 10.31209
10.1080/10798587 with T&F
IMPACT FACTOR: 0.652 (2017/2018)

TWO YEAR CITATIONS PER DOCUMENT (SJR DATA): 0.993 (2018)
SJR: "The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric."





Journal: 1995-Present


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