2018
DOI: 10.1177/0142331218799830
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Chaos control of permanent magnet synchronous motor using simple controllers

Abstract: Owing to the superior properties and stable operation, the Permanent Magnet Synchronous Motor (PMSM) is preferably used in wide industrial applications. But, the stability of motor is found to be dependent on its initial operating condition, showing the chaotic characteristic. Therefore, this paper addresses the chaos control of PMSM by developing four simple but effective controllers, which are mathematically designed by using the principle of Lyapunov’s method for asymptotic global stability. A comparative p… Show more

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Cited by 15 publications
(10 citation statements)
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“…In this section, a feedback control method is used to synchronize unidirectional coupled identical chaotic PMSMs. The drive and the response PMSMs are expressed, respectively, as follows: where u 3 , u 4 are the controllers to be determined in order to achieve synchronization between the systems (13) and (14). The synchronization errors are defined as e 1 = x 2 − x 1 , e 2 = y 2 − y 1 , e 3 = z 2 − z 1 .…”
Section: Chaos Synchronization Of Unidirectional Coupled Identical Pementioning
confidence: 99%
See 2 more Smart Citations
“…In this section, a feedback control method is used to synchronize unidirectional coupled identical chaotic PMSMs. The drive and the response PMSMs are expressed, respectively, as follows: where u 3 , u 4 are the controllers to be determined in order to achieve synchronization between the systems (13) and (14). The synchronization errors are defined as e 1 = x 2 − x 1 , e 2 = y 2 − y 1 , e 3 = z 2 − z 1 .…”
Section: Chaos Synchronization Of Unidirectional Coupled Identical Pementioning
confidence: 99%
“…The controllers u 3 = −z 2 e 2 − y 1 e 3 and u 4 = z 2 e 1 + x 1 e 3 − e 3 can synchronize the drive system (13) and the response system (14). Proof The proof is obvious, so leave it out.…”
Section: Chaos Synchronization Of Unidirectional Coupled Identical Pementioning
confidence: 99%
See 1 more Smart Citation
“…Control of chaos is a mechanism or process that purposely changes the chaotic motion to a predictable, stable motion (Aghababa, 2018;Liu and Ma, 2020). The investigation of chaos control has attracted many researchers' attention due to its successful applications in computer networks (Sajjadi et al, 2020), artificial satellites , nuclear spin generator system (Iqbal and Singh, 2019), physical games pitches (Jajarmi et al, 2017), and even economic planning (Batmani, 2019;Hamid and Yaghoobi, 2021). For example, the stabilization of chaos in a financial system is to maintain the saving amount to a certain level that restores the normalization of the economic cycle; it helps in management and decisionmaking strategies (Sajjadi et al, 2020), and control of chaos might lead to more proficient power delivery systems .…”
Section: Introductionmentioning
confidence: 99%
“…As a key actuator in many critical infrastructures, such as supply chains, robots, intelligent manufacturing, smart grid, networks, advanced servo control systems play a more and more important role, which decides the product’s performance and quality (El-Sousy, 2010; Huang et al, 2019; Iqbal and Singh, 2018; Li and Liu, 2009; Liu and Li, 2012; Sun et al, 2019; Wang and Li et al, 2016). As the core of the servo drive system, the study of motor control technology has become a hot topic in the area of mechatronics (Ding et al, 2019; Du et al, 2018; Errouissi et al, 2012).…”
Section: Introductionmentioning
confidence: 99%