Passivity-based control of linear switched reluctance motors with robustness consideration

Zhao, Shiwei; Cheung, N.C.; Gan, Wai-Chuen; Jin, Yang; Zhong, Qing

doi:10.1049/iet-epa:20070317

Cited by 13 publications

(8 citation statements)

References 8 publications

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“…Realizing high-performance dynamic control of motors under multifactor constraints has been widely investigated to overcome complex factors, such as strong coupling, nonlinear, and multitime variation [8][9][10][11][12][13][14][15][16][17][18][19][20] integral-derivative (PID) controllers occupy a dominant position in the existing industrial control field because its structure is simple and easy to implement. Maslan et al [8] applied a PID controller to an LSRM by combining three different heuristic optimization techniques namely, PIDparticle swarm optimization (PSO), fuzzy PSO, and genetic algorithm (GA)-PSO.…”

Section: State Of the Artmentioning

confidence: 99%

“…The control performance is poor when the rules are excessively few, whereas the performance requires a long time period when the rules are excessive. Modern control methods, such as adaptive, sliding mode, backstepping, and passive control, have been applied to the position tracking control of motors [11][12][13][14][15][16][17][18][19]. Ammar et al [11] adopted an adaptive control strategy, namely, model reference adaptive controller (MRAC) to adjust the torque and stator flux of asynchronous motors to ensure robust control and small sensitivity of machine parameters compared with traditional PI controllers.…”

Section: State Of the Artmentioning

confidence: 99%

“…However, the design of position loop causes "computational explosion" during derivation. Zhao et al [18] applied passive control to an LSRM, which is equivalent to a passive port system. Passive control theory was used to design the speed and position control of the system.…”

Section: State Of the Artmentioning

confidence: 99%

See 2 more Smart Citations

Optimization of Linear Switched Reluctance Motor for Single Neuron Adaptive Position Tracking Control based on Fruit Fly Optimization Algorithm

Xu¹,

Tang²,

Yang³

et al. 2020

JESTR

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A linear switched reluctance motor (LSRM) drive system is a complex and strongly coupled nonlinear system with time-varying parameters, friction and external disturbances. An intelligent position tracking control based on fruit fly optimization algorithm (FOA) was proposed in this study to effectively solve the effects of parameter uncertainty, load disturbance, thrust fluctuation, and friction on the performance of the LSRM system. A mathematical model of LSRM was constructed on the basis of its structure and characteristics, and spatial discretization was conducted. A single neuron adaptive controller was designed for the discretized LSRM, and its parameters were adjusted and optimized online using the FOA. The accuracy of the model was verified through experiments. Results show that the propose controller has high tracking (rotor position steady-state error is less than 10%) and strong anti-interference performance (restores to the desired rotor position instruction in 0.01 s). The proposed controller can better track the rotor position when the rotor position instruction changes, with smaller overshoot (less than 10%) and can control the PID up to 30% compared with proportional-integral-derivative (PID) controllers. The proposed method has high position tracking accuracy and strong robustness to external disturbances.

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Section: State Of the Artmentioning

confidence: 99%

Section: State Of the Artmentioning

confidence: 99%

See 1 more Smart Citation

Optimization of Linear Switched Reluctance Motor for Single Neuron Adaptive Position Tracking Control based on Fruit Fly Optimization Algorithm

Xu¹,

Tang²,

Yang³

et al. 2020

JESTR

View full text Add to dashboard Cite

show abstract

“…A self-tuning regulator is also developed to combat uncertain control behavior of this motor. Introducing a full-order nonlinear controlled model, the robust passivity-based control is proposed in [12] for the position tracking system of the LSRM. To reduce propulsion force pulsations in the LSRM which is essential for elevators, the controlled multiphase excitation using the force distribution functions (FDF) is considered in [13].…”

Section: Introductionmentioning

confidence: 99%

Instantaneous Thrust Control of the Linear Switched Reluctance Motors with Segmental Translator

Ganji

Zare

2019

Scientia Iranica

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The linear switched reluctance machine (LSRM) has all advantages of rotary switched reluctance machine including simple and rugged structure, absence of magnetic material and windings on translator, high reliability and appropriate performance over a wide range of speed. Like rotary switched reluctance motor with segmental rotor, segmental translator linear switched reluctance motor (STLSRM) has capability to produce higher output power/weight in comparison to the conventional linear switched reluctance motors. Due to high advantages of the STLSRM drive, various control algorithms including current control, model predictive control, direct force control, universal control and force distribution function are investigated for the first time to control the instantaneous thrust of this motor. Applying these algorithms to a typical three-phase STLSRM, simulation results are presented and they are compared together from the force ripple reduction point of view.

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“…It is very difficult for a traditional proportional-integral-differential (PID) controller to cope with such disturbances since its design is mainly based on the static model of a system [15]. To achieve a high-precision position control performance, the dynamic models for the primary and secondary parts should be established for uniform operations [16][17]. According to current literature, a nonlinear proportional differential (PD) controller is introduced for the LSRM to achieve a better dynamic response; in [17], a passivity-based control algorithm is proposed for a position tracking system of the LSRM to overcome the inherent nonlinear characteristics and render system robustness against uncertainties.…”

Section: Introductionmentioning

confidence: 99%

Self-tuning Position Control for the Linear Long-stroke, Compound Switched Reluctance Conveyance Machine

Wang

Zhang

Cheung

et al. 2017

IJPEDS

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This paper proposes a long-stroke linear switched reluctance machine (LSRM) with a primary and a secondary translator for industrial conveyance applications. The secondary one can translate according to the primary one so that linear compound motions can be achieved. Considering the fact that either one translator imposes a time-variant, nonlinear disturbance onto the other, the self-tuning position controllers are implemented for the compound machine and experimental results demonstrate that the absolute steady-state error values can fall into 0.03 mm and 0.05 mm for the secondary and primary translator, respectively. A composite absolute precision of less than 0.6 mm can be achieved under the proposed control strategy. Keyword:Compound motion LSRM Self-tuning control Copyright ©2017 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Li Qiu, Laboratory of Space Collaborative Manipulation Technology, Shenzhen University, Fundamental Building Phase II, Southern Campus of Shenzhen University, 3688 Nanhai Road, Shenzhen University, China. Email: qiuli@szu.edu.cn INTRODUCTIONIn modern manufacturing and assembly industry, electrical or mechanical components or parts rely on conveyance systems to transport them to arrive at proper positionsfor furtherprocessing. For linear transportations, rotary machines with synchronous belts are sometimes involved to realize conveyance systems. Due to wear and aging of the belts and other mechanical parts, the precision of the entire conveyance system is often hard to be guaranteed [1]. The traditional method of rotary machines and belts can be replaced by direct-drive, linear machines, which have the advantages of fast response, high-precision and speed [2]. For linear conveyance systems nowadays, the speed of the moving part should often be kept at specified values for sequenced processing of the components or parts [4]. Two or more transportation tasks can rarely be handled at the same time.If any secondary moving part (or translator) can be embedded onto the linear conveyance system and the moving part makes relative motions according to the primary conveyance one at the same time, then the efficiency ofthe entire components transportationtask can be increased.As shown in Figure 1 the concept of a direct-drive, compound linear conveyance system, the stationary part propels the conveyance track(primary part) along the x axis, and the manipulator is responsible to transport the components to a certain work station along the y direction. The secondary part is embedded onto the conveyance track and it is capable of translationalong the conveyance track. It can be seen that the secondary part can work simultaneously as the conveyance track translates. Thus, the processing time can be reduced with increased component conveyance efficiency. Meanwhile, the entire positioning precision of the linear conveyance system can be improved, if both the conveyance track and the secondary part can work coordinately.

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Passivity-based control of linear switched reluctance motors with robustness consideration

Cited by 13 publications

References 8 publications

Optimization of Linear Switched Reluctance Motor for Single Neuron Adaptive Position Tracking Control based on Fruit Fly Optimization Algorithm

Optimization of Linear Switched Reluctance Motor for Single Neuron Adaptive Position Tracking Control based on Fruit Fly Optimization Algorithm

Instantaneous Thrust Control of the Linear Switched Reluctance Motors with Segmental Translator

Self-tuning Position Control for the Linear Long-stroke, Compound Switched Reluctance Conveyance Machine

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