TY - JOUR
T1 - Modeling and compound control of bellows-driven ultra-precision positioning stage
AU - Tian, Yan Bing
AU - Wang, Tao
AU - Wang, Mei Ling
AU - Zhang, Dong
PY - 2014/7
Y1 - 2014/7
N2 - In order to improve the stroke and precision of the ultra-precision positioning stage, a new type of pneumatic servo positioning stage was designed. Air bearing sliders were designed by finite element method and metal bellows were used as the single driving device in the positioning stage. The stage was supported by aerostatic sliders to realize large stoke and ultra-precision positioning. The mechanical characteristics of bellows were analyzed with the experimental data. According to the initial loading curve, the parameters were identified to establish the PI hysteresis model of the system, and the model was validated by the experiments. In order to improve dynamic performance of the system, a compound control scheme was designed. In this scheme, a feedforward controller was based on inverse PI model, and a PID controller was used as feedback controller, the parameters of the PID controller were optimized by particle swarm optimization. Experiments on the step signal, sawtooth signal and sine signal were implemented. After the parameters are optimized, the experimental results show that the positioning accuracy on the step response is less than 50nm, the average tracking error on sawtooth input signal is 0.12 μm, and the average tracing error on sine input signal is 0.18 μm, the stage can meet the requirements of ultra-precision positioning.
AB - In order to improve the stroke and precision of the ultra-precision positioning stage, a new type of pneumatic servo positioning stage was designed. Air bearing sliders were designed by finite element method and metal bellows were used as the single driving device in the positioning stage. The stage was supported by aerostatic sliders to realize large stoke and ultra-precision positioning. The mechanical characteristics of bellows were analyzed with the experimental data. According to the initial loading curve, the parameters were identified to establish the PI hysteresis model of the system, and the model was validated by the experiments. In order to improve dynamic performance of the system, a compound control scheme was designed. In this scheme, a feedforward controller was based on inverse PI model, and a PID controller was used as feedback controller, the parameters of the PID controller were optimized by particle swarm optimization. Experiments on the step signal, sawtooth signal and sine signal were implemented. After the parameters are optimized, the experimental results show that the positioning accuracy on the step response is less than 50nm, the average tracking error on sawtooth input signal is 0.12 μm, and the average tracing error on sine input signal is 0.18 μm, the stage can meet the requirements of ultra-precision positioning.
KW - Feedforward control
KW - Hysteresis
KW - Particle swarm optimization
KW - Pneumatic drive
KW - Precision engineering
UR - http://www.scopus.com/inward/record.url?scp=84904872791&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:84904872791
SN - 1007-449X
VL - 18
SP - 94
EP - 100
JO - Dianji yu Kongzhi Xuebao/Electric Machines and Control
JF - Dianji yu Kongzhi Xuebao/Electric Machines and Control
IS - 7
ER -