1998
DOI: 10.1080/002071798221777
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Modelling study and servo-control of air motor systems

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Cited by 52 publications
(24 citation statements)
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“…Once the port is closed by the moving vane, the air expands to a lower pressure in a higher volume between the vane and the preceding vane, at which point the air is released via the input port 2. The difference in air pressure acting on the vane results in a torque acting on the rotor shaft [16,17]. A simplified vane motor structure is shown in Fig.…”
Section: Modeling the Permanent Magnetic Synchronousmentioning
confidence: 99%
“…Once the port is closed by the moving vane, the air expands to a lower pressure in a higher volume between the vane and the preceding vane, at which point the air is released via the input port 2. The difference in air pressure acting on the vane results in a torque acting on the rotor shaft [16,17]. A simplified vane motor structure is shown in Fig.…”
Section: Modeling the Permanent Magnetic Synchronousmentioning
confidence: 99%
“…Their torque versus speed characteristics make them very well suited for many applications and they are easily reversible. There are many different designs for air motors, but two types of pneumatic motors dominate: the general vane-type air motor [1][2][3][4][5][6] and the radial piston air motor [7]. There have been a number of investigations of the dynamics of vane-type air motors.…”
Section: Introductionmentioning
confidence: 99%
“…There is large overshoot and dead-zones during the experiments. The mathematical model of a vane-type air motor non-linear system is considered a fourth-order model [4]. The parameters were identified from the experiments and the model was validated through a simulation and actual system velocity output.…”
Section: Introductionmentioning
confidence: 99%
“…The results of this study showed that the mode reference output could be tracked and that an accurate speed control performance was attainable. A fourth-order nonlinear mode was developed by Puan and Moore [6] utilizing parameters identified through experimental data. However, due to the complexity of this mode, the number of parameters was large, making the process of deriving parameters complicated and time consuming.…”
Section: Introductionmentioning
confidence: 99%