The high power-to-weight ratio and low cost of pneumatic actuators makes th
em attractive for robotics and automation applications; however, achieving
fast, accurate position control with them is difficult. Furthermore, tuning
the controller (and/or obtaining process models) requires extensive expert
ise and time. In this paper, a novel automatic tuning methodology for the a
ccurate position control of pneumatic servo actuators is described. The met
hodology combines off-line model-based analysis with on-line iteration. Exp
eriments performed on three actuators with distinct open-loop dynamics veri
fied the auto-tuner's effectiveness. The auto-tuning required 1/50 of the t
ime needed for manual tuning and only non-expert supervision. The performan
ce of the auto-tuned actuators is comparable to that achieved by other rese
archers using more complex and expensive hardware.