New adaptive fuzzy sliding mode scheme for speed control of linear switched reluctance motor

被引：10

作者：

Azadru, Allahverdi ^{[1
]}

Masoudi, Siamak ^{[1
]}

Ghanizadeh, Reza ^{[1
]}

Alemi, Payam ^{[1
]}

机构：

[1] Islamic Azad Univ, Urmia Branch, Dept Elect Engn, Orumiyeh, Iran

来源：

IET ELECTRIC POWER APPLICATIONS | 2019年 / 13卷 / 08期

关键词：

adaptive control; fuzzy systems; fuzzy control; linear motors; Lyapunov methods; variable structure systems; reluctance motors; control system synthesis; stability; machine control; speed control; reluctance motor; control system; motor approximation; uncertain parameters; lower membership functions; upper membership functions; adaptive sliding mode controller; sliding motion; Lyapunov function; sliding mode surface; fuzzy rules; four-phase LSRM; Type-2 Takati-Sugeno fuzzy systems; adaptive fuzzy sliding mode scheme; dynamic stability; double-sided four-phase LSRM; DESIGN; ELEVATOR; STABILIZATION; SYSTEMS;

D O I：

10.1049/iet-epa.2018.5764

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This study presents a new control system for a linear switched reluctance motor (LSRM). Type-2 Takati-Sugeno fuzzy system is used for the motor approximation. The uncertain parameters of the motor are described by the lower and upper membership functions. By constructing an integral sliding mode surface, an adaptive sliding mode controller is designed and dynamic stability of the sliding motion is verified using the Lyapunov function. The design of the proposed sliding mode surface is independent of the number of fuzzy rules and thus, computational complexity is significantly decreased. The control system is implemented on a double-sided four-phase LSRM and its performance is demonstrated by means of modelling and experimental results.

引用

页码：1141 / 1149

页数：9

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