The novel adaptive sliding mode control for current sensorless synchronous reluctance motor speed drive

This paper presents the design and implementation of a super-twisting algorithm second-order sliding mode controller (SOSMC) for a synchronous reluctance motor. SOSMC is an effective tool for the control of uncertain nonlinear systems since it overcomes the main drawbacks of conventional sliding mode control, that is, large control effort and chattering. The practical implementation of SOSMC has simple control laws and assures an improvement in sliding accuracy with respect to conventional sliding mode control. This paper proposes a control scheme based on super-twisting algorithm SOSMC. The SOSMC is mathematically derived, and its performance is verified by simulation and experiments. The proposed SOSMC is robust against motor parameter variation and mitigates chattering.

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SUB-OPTIMAL ALGORITHM SECOND-ORDER SLIDING MODE CONTROL FOR A SYNCHRONOUS RELUCTANCE MOTOR SPEED DRIVE

Transactions of the Canadian Society for Mechanical Engineering ◽

10.1139/tcsme-2016-0074 ◽

2016 ◽

Vol 40 (5) ◽

pp. 897-908

Author(s):

Huann-Keng Chiang ◽

Wen-Bin Lin

Keyword(s):

Sliding Mode Control ◽

Sliding Mode ◽

Optimal Algorithm ◽

Second Order ◽

Practical Implementation ◽

Motor Speed ◽

Mode Control ◽

Synchronous Reluctance Motor ◽

Reluctance Motor ◽

Second Order Sliding Mode

A sub-optimal algorithm second-order sliding mode controller (SOSMC) was presented for a synchronous reluctance motor (SynRM) speed drive. SOSMC is an effective tool for the control of uncertain nonlinear systems since it overcomes the main chattering drawback of conventional sliding mode control. The practical implementation of SOSMC has simple control laws and assures an improvement in sliding accuracy with respect to conventional sliding mode control. This paper proposes a control scheme based on sub-optimal algorithm SOSMC. The proposed SOSMC is robust against motor parameter variations and mitigates chattering phenomenon. Experiments were conducted to validate the proposed method.

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The Novel Fuzzy Sliding Mode Control of Synchronous Reluctance Motor

2008 Eighth International Conference on Intelligent Systems Design and Applications ◽

10.1109/isda.2008.33 ◽

2008 ◽

Author(s):

Chien-An Chen ◽

Huann-Keng Chiang ◽

Chih-Huang Tseng

Keyword(s):

Sliding Mode Control ◽

Sliding Mode ◽

The Novel ◽

Fuzzy Sliding Mode Control ◽

Mode Control ◽

Synchronous Reluctance Motor ◽

Reluctance Motor ◽

Fuzzy Sliding Mode

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Adaptive Sliding Mode Control Based on Equivalence Principle and Its Application to Chaos Control in a Seven-Dimensional Power System

Mathematical Problems in Engineering ◽

10.1155/2020/1565460 ◽

2020 ◽

Vol 2020 ◽

pp. 1-13 ◽

Cited By ~ 1

Author(s):

Jiangbin Wang ◽

Ling Liu ◽

Chongxin Liu ◽

Xiaoteng Li

Keyword(s):

Sliding Mode Control ◽

Power System ◽

Design Process ◽

Equivalence Principle ◽

Sliding Mode ◽

Chaotic Oscillation ◽

Adaptive Sliding Mode Control ◽

Adaptive Sliding Mode ◽

Mode Control ◽

Control Scheme

The main purpose of the paper is to control chaotic oscillation in a complex seven-dimensional power system model. Firstly, in view that there are many assumptions in the design process of existing adaptive controllers, an adaptive sliding mode control scheme is proposed for the controlled system based on equivalence principle by combining fixed-time control and adaptive control with sliding mode control. The prominent advantage of the proposed adaptive sliding mode control scheme lies in that its design process breaks through many existing assumption conditions. Then, chaotic oscillation behavior of a seven-dimensional power system is analyzed by using bifurcation and phase diagrams, and the proposed strategy is adopted to control chaotic oscillation in the power system. Finally, the effectiveness and robustness of the designed adaptive sliding mode chaos controllers are verified by simulation.

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