Fuzzy MRAC controller design for vane-type air motor systems

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 dead-zone 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.

[1]  M. O. Tokhi,et al.  Real-time control of air motors using a pneumatic H-bridge , 2001 .

[2]  Tomonobu Senjyu,et al.  Position control of ultrasonic motors using MRAC with dead-zone compensation , 2001, IEEE Trans. Ind. Electron..

[3]  J. Pu,et al.  Robust servo motion control of air motor systems , 1996 .

[4]  Chuen-Chien Lee.  FUZZY LOGIC CONTROL SYSTEMS: FUZZY LOGIC CONTROLLER - PART I , 1990 .

[5]  P. Moore,et al.  Modelling study and servo-control of air motor systems , 1998 .

[6]  Richard H. Weston,et al.  Digital servo motion control of air motors , 1991 .

[7]  Yi Zhang,et al.  Low-pressure air motor for wall-climbing robot actuation , 2003 .

[8]  Masayoshi Tomizuka,et al.  Fuzzy smoothing algorithms for variable structure systems , 1994, IEEE Trans. Fuzzy Syst..

[9]  Yasuhiro Hayakawa,et al.  Control performance of an air motor-can air motors replace electric motors? , 1999, Proceedings 1999 IEEE International Conference on Robotics and Automation (Cat. No.99CH36288C).

[10]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[11]  Di Zhou,et al.  Adaptive control of a pneumatic valve with unknown parameters and disturbances , 2003, SICE 2003 Annual Conference (IEEE Cat. No.03TH8734).

[12]  Kaoru Hirota.  Fuzzy Reasoning and Fuzzy Control , 1990 .

[13]  Tomonobu Senjyu,et al.  Position control of ultrasonic motors using MRAC and dead-zone compensation with fuzzy inference , 2002 .

[14]  C. Su,et al.  Model reference adaptive control of continuous-time systems with an unknown input dead-zone , 2003 .

[15]  Martin Levesley,et al.  Impedance control for a pneumatic robot-based around pole-placement, joint space controllers , 2005 .