Synchronous Reluctance Motor Speed Tracking Using a Modified Second-Order Sliding Mode Control Method

2019 ◽  
Vol 51 (1) ◽  
pp. 251-270 ◽  
Author(s):  
Wei-Lung Mao ◽  
Chao-Ting Chu ◽  
Chung-Wen Hung
Keyword(s):  
Sliding Mode Control ◽  
Control Method ◽  
Sliding Mode ◽  
Second Order ◽  
Motor Speed ◽  
Mode Control ◽  
Synchronous Reluctance Motor ◽  
Speed Tracking ◽  
Reluctance Motor ◽  
Second Order Sliding Mode

scholarly journals Super-Twisting Algorithm Second-Order Sliding Mode Control for a Synchronous Reluctance Motor Speed Drive

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Wen-Bin Lin ◽  
Huann-Keng Chiang
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Second Order ◽  
Practical Implementation ◽  
Motor Speed ◽  
Mode Control ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Twisting Algorithm ◽  
Second Order Sliding Mode

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.

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

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.

Super-twisting second-order sliding mode control for a synchronous reluctance motor

2011 ◽  
Vol 16 (3) ◽  
pp. 307-310 ◽  
Author(s):  
Huann-Keng Chiang ◽  
Wen-Bin Lin ◽  
Yi-Chang Chang ◽  
Chun-Chiang Fang
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Second Order ◽  
Mode Control ◽  
Synchronous Reluctance Motor ◽  
Reluctance Motor ◽  
Second Order Sliding Mode

scholarly journals Second-Order Sliding Mode Formation Control of Multiple Robots by Extreme Learning Machine

Symmetry ◽  
2019 ◽  
Vol 11 (12) ◽  
pp. 1444 ◽  
Author(s):  
Qian ◽  
Zhang ◽  
Wang ◽  
Wu
Keyword(s):  
Sliding Mode Control ◽  
Extreme Learning Machine ◽  
Control Method ◽  
Sliding Mode ◽  
Second Order ◽  
Mode Control ◽  
Learning Machine ◽  
Second Order Sliding Mode ◽  
Mode Formation ◽  
Formation Design

This paper addresses a second-order sliding mode control method for the formation problem of multirobot systems. The formation patterns are usually symmetrical. This sliding mode control is based on the super-twisting law. In many real-world applications, the robots suffer from a great diversity of uncertainties and disturbances that greatly challenge super-twisting sliding mode formation maneuvers. In particular, such a challenge has adverse effects on the formation performance when the uncertainties and disturbances have an unknown bound. This paper focuses on this issue and utilizes the technique of an extreme learning machine to meet this challenge. Within the leader–follower framework, this paper investigates the integration of the super-twisting sliding mode control method and the extreme learning machine. The output weights of this extreme learning machine are adaptively adjusted so that this integrated formation design has guaranteed closed-loop stability in the sense of Lyaponov. In the end, some simulations are implemented via a multirobot platform, illustrating the superiority and effectiveness of the integrated formation design in spite of uncertainties and disturbances.

A novel second-order sliding mode control based on the Lyapunov method

2018 ◽  
Vol 41 (4) ◽  
pp. 1068-1078 ◽  
Author(s):  
Lu Liu ◽  
Shihong Ding ◽  
Li Ma ◽  
Haibin Sun
Keyword(s):  
Sliding Mode Control ◽  
Finite Time ◽  
Disturbance Observer ◽  
Control Method ◽  
Sliding Mode ◽  
Second Order ◽  
Lyapunov Theory ◽  
Mode Control ◽  
Mismatched Disturbance ◽  
Second Order Sliding Mode

In this paper, a novel discontinuous second-order sliding mode control approach has been developed to handle sliding mode dynamics with a nonvanishing mismatched disturbance by using Lyapunov theory and a finite-time disturbance observer. Firstly, the finite-time disturbance observer is designed to estimate the nonvanishing mismatched disturbance. Secondly, a virtual controller has been constructed based on the estimated value such that the sliding variable can be stabilized to zero in a finite time. Then, the real discontinuous controller is designed to guarantee that the virtual controller can be well tracked in a finite time. Lyapunov analysis also verifies the finite-time stability of the closed-loop sliding mode control system. The developed discontinuous second-order sliding mode control method possesses two appealing features including strong robustness with respect to the matched and mismatched nonvanishing disturbances, and relaxation on the constant upper bound of uncertainties widely used in a conventional second-order sliding mode. Finally, an academic example is illustrated to verify the effectiveness of the proposed method.

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