Robust servo motion control of air motor systems

Wang, J.; Pu, Junsheng; Wong, Chi Biu; Moore, Philip

doi:10.1049/cp:19960532

Cited by 9 publications

(9 citation statements)

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“…However, due to the accuracy consideration, the demand for better performance (in terms of higher precision and faster response) for air motors has become more and more dominating, and has attracted many research works [5][6][7][8] in recent years. But the air motors discussed in these articles were mostly operated at low speed range up to 1000 rpm, which in general limits the applications of these air motors.…”

Section: Introductionmentioning

confidence: 99%

“…In general, air motors demonstrate highly nonlinear behaviors due to the compressibility of air and the frictions of the mechanisms. In previous articles [5][6][7][8], there had been several investigations and analyses on the dynamics of air motors. In [5], a linear system model was developed by considering all nonlinear phenomena as un-modeled uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…However, this model has a large number of parameters and hence the process of deriving these parameters is complicated and time consuming. A different approach of using neural network techniques is proposed in [7]. Instead of using a high order nonlinear model, a neural-model reference control was proposed to control the rotational speed of the air motor.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic analysis and fuzzy logic control for the vane-type air motor

2009

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Air motors are widely used in the automation industry with special requirements, such as park-prohibited environments, mining, chemical manufacturing, and so on. However, during the past only few literatures discussed the dynamics of air motors or their control strategies. The purpose of this paper is to analyze the dynamics of a vane-type air motor, and design a fuzzy logic controller. It is found that the rotational speed of the air motor is strongly affected by the pressure and flow rate of the compressed air. Further, due to the mechanical friction, the overall system is actually nonlinear with dead-zone and has hysteretic behavior. The performance of conventional PI controllers implemented on the air motor usually results in large overshoot, slow response and significant fluctuation errors. To cope with the nonlinear effects of dead-zone and hysteretic behavior, we developed a fuzzy logic controller to improve the performance. The experimental results show that the proposed controller can effectively control the system with a settling time within 0.2 second, the error fluctuation less than 0.5% for high speed operation and 1.5% for low speed operation, and without any overshoot.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic analysis and fuzzy logic control for the vane-type air motor

2009

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“…However, due to its complexity, this model has a large number of parameters; thus the process of deriving parameters is complicated and time consuming. A different approach using neural network techniques is proposed in [7]. Instead of developing a high order nonlinear model, a neural-model reference control by adopting neural network techniques was proposed to control the rotational speed of the air motor.…”

Section: Introductionmentioning

confidence: 99%

“…The air motor described in previous articles was mostly operated at low speed range. The control algorithms for air motor have a very large overtime, long rise time and cannot compensate for the effect of a dead-zone [2,3,7]. Air motors have uncertain speed characteristics.…”

Section: Introductionmentioning

confidence: 99%

Fuzzy MRAC controller design for vane-type air motor systems

Hwang¹,

Shen²,

Jen³

2008

J Mech Sci Technol

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Air motors are widely used in the automation industry due to special requirements, such as spark-prohibited environments, the mining industry, chemical manufacturing plants, and so on. The purpose of this paper is to analyze the behavior of a vane-type air motor and to design a model reference adaptive control (MRAC) with a fuzzy friction compensation controller. It has been noted that the rotational speed of the air motor is closely related to the compressed air's pressure and flow rate, and due to the compressibility of air and the friction in the mechanism, the overall system is actually nonlinear with dead-zone behavior. The performance of the previous controllers implemented on an air motor system demonstrated a large overshoot, slow response and significant fluctuation errors around the setting points. It is important to eliminate the dead-zone to improve the control performance. By considering the effects of the deadzone behavior, we have developed an MRAC with fuzzy friction compensation controller to overcome the effect of the dead-zone. The following experimental results are given to validate the proposed speed control strategy.

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Modeling of an air motor servo system and robust sliding mode controller design

Hwang

2012

J Mech Sci Technol

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Robust servo motion control of air motor systems

Cited by 9 publications

References 0 publications

Dynamic analysis and fuzzy logic control for the vane-type air motor

Dynamic analysis and fuzzy logic control for the vane-type air motor

Fuzzy MRAC controller design for vane-type air motor systems

Modeling of an air motor servo system and robust sliding mode controller design

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