Control performance of an air motor-can air motors replace electric motors?

Pandian, S.R.; Takemura, Fumiaki; Hayakawa, Yasuhiro; Kawamura, Sadao

doi:10.1109/robot.1999.770029

Cited by 32 publications

(26 citation statements)

References 6 publications

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“…Therefore, the armature inductance can be neglected during the derivation of the DC servo motor model. In addition, Newton's second law of angular motion is also considered and shown in Equation (5). In Equation (5), the J dc and B dc are the inertia and viscosity coefficient of DC servo motor, respectively.…”

Section: System Identification Of Hybrid Air/electric Motormentioning

confidence: 99%

“…Most electric motors, however, do not run fully loaded; the efficiencies actually experienced are thus lower than these maximums. The point here is that air motors are selected over electric motors not for their efficiencies but, rather, for their many other features [5][6][7][8][9]. Nowadays, there are several types of hybrid system being developed.…”

Section: Introductionmentioning

confidence: 99%

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System Identification and Integration Design of an Air/Electric Motor

Hwang

Huang

2013

Energies

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This paper presents an integration design and implementation of an air motor and a DC servo motor which utilizes a magnetic powder brake to integrate these two motors together. The dynamic model of the air/electric hybrid system will be derived and eventually leads to successful ECE-40 driving cycle tests with a FPGA-based speed controller. The testing results obtained by using the proposed experimental platform indicate that the total air consumption is about 256 L under air motor mode and the electric charge consumption is about 530 coulombs under DC servo motor mode. In a hybrid mode, the current reduction of the battery is about 18.5%, and then the service life of the battery can be improved. Furthermore, a prototype is built with a proportional-integral (PI) speed controller based on a field-programmable gate array (FPGA) in order to facilitate the entire analysis of the velocity switch experiment. Through the modular methodology of FPGA, the hybrid power platform can successfully operate under ECE-40 driving cycle with the PI speed controller. The experimental data shows that the chattering ranges of the air motor within ±1 km/h and ±0.2 km/h under DC servo motor drive. Therefore, the PI speed controller based on FPGA is successfully actualized.

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Section: System Identification Of Hybrid Air/electric Motormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

System Identification and Integration Design of an Air/Electric Motor

Hwang

Huang

2013

Energies

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“…These techniques are developed based on full-order model-based compensation for the nonlinear dynamics which includes the chamber pressure dynamics. The performance achieved is comparable to that of conventional electric actuators [4]. Interaction with an environment is involved in many industrial assembly and automation operations, as well as systems such as legged robots and object handling.…”

Section: Introductionmentioning

confidence: 95%

A Sliding Mode Fuzzy Force Tracking Controller for Pneumatic Cylinders

Xu¹,

Hayakawa²,

Pandian³

2005

Proceedings of the JFPS International Symposium on Fluid Power

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The problem of control of force exerted by pneumatic cylinders on the environment is of interest in industrial automation and systems such as legged robots. In this paper, a sliding mode fuzzy force control algorithm is proposed for pneumatic cylinders. The environment is assumed to be "soft" or compliant and modeled as a spring. The advantage of the new controller is that being based on fuzzy logic, knowledge of the cylinder dynamics or disturbances such as friction is not necessary. The control law implementation is based explicitly on contact force measurements. The proposed algorithm is simple, robust, and easy to implement. Results of experimental implementation are presented to illustrate the practical effectiveness of the new method.

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“…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%

A model reference robust multiple-surfaces design for tracking control of radial pneumatic motion systems

Hwang

2011

Nonlinear Dyn

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A robust model reference backstepping (multiple-surfaces) controller is proposed for radial pneumatic motor motion systems with variable inlet pressure and mismatched uncertainties (time-varying payload). A radial pneumatic motor is first modeled by a non-autonomous equation with consideration of a ball screw table. A practical integral action and robust action are included in the backstepping design to compensate for the disturbance, mismatched uncertainty, and to eliminate the steady state error. The motion system is proved to have asymptotically stable performance and the experimental results show that the proposed controller is able to track the reference model output signal and maintain steady-state error.

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Control performance of an air motor-can air motors replace electric motors?

Cited by 32 publications

References 6 publications

System Identification and Integration Design of an Air/Electric Motor

System Identification and Integration Design of an Air/Electric Motor

A Sliding Mode Fuzzy Force Tracking Controller for Pneumatic Cylinders

A model reference robust multiple-surfaces design for tracking control of radial pneumatic motion systems

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