TY - GEN
T1 - Switching-type self-tuning fuzzy PID control of an active magnetic bearing system
AU - Chen, Kuan Yu
AU - Tung, Pi Cheng
AU - Fan, Yi Hua
PY - 2013
Y1 - 2013
N2 - This paper presents a new switching control scheme for an active magnetic bearing (AMB) system using self-tuning fuzzy proportional-integral-derivative (PID) control. The research process consists of three stages. First, four types of self-tuning fuzzy PID-type controllers (FPIDCs) consisting of two most commonly used fuzzy inference systems: Mamdani and Takagi-Sugeno types, and two efficient parameter adaptive methods: function tuner and relative rate observer, are used to control a highly nonlinear AMB system, respectively. Hence, there are two kinds of FPIDCs can be obtained by comparing experimental results of these tests: one has the fastest transient response and the other has the minimum steady-state error. Next, the switching-type self-tuning FPIDC is proposed by combining the two kinds of FPIDCs. Namely, the AMB system is dominated by the scheme with the fastest transient response when the rotor is at rest and by the one with the best steady-state performance when the rotor is in rotation. Finally, experimental results demonstrate that the proposed switching-type self-tuning FPIDC performs better overall performance than the other self-tuning FPIDCs, particularly when controlling an AMB system.
AB - This paper presents a new switching control scheme for an active magnetic bearing (AMB) system using self-tuning fuzzy proportional-integral-derivative (PID) control. The research process consists of three stages. First, four types of self-tuning fuzzy PID-type controllers (FPIDCs) consisting of two most commonly used fuzzy inference systems: Mamdani and Takagi-Sugeno types, and two efficient parameter adaptive methods: function tuner and relative rate observer, are used to control a highly nonlinear AMB system, respectively. Hence, there are two kinds of FPIDCs can be obtained by comparing experimental results of these tests: one has the fastest transient response and the other has the minimum steady-state error. Next, the switching-type self-tuning FPIDC is proposed by combining the two kinds of FPIDCs. Namely, the AMB system is dominated by the scheme with the fastest transient response when the rotor is at rest and by the one with the best steady-state performance when the rotor is in rotation. Finally, experimental results demonstrate that the proposed switching-type self-tuning FPIDC performs better overall performance than the other self-tuning FPIDCs, particularly when controlling an AMB system.
KW - Active magnetic bearing
KW - Fuzzy PID control
KW - Parameter adaptive method
UR - http://www.scopus.com/inward/record.url?scp=84873916864&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.284-287.2330
DO - 10.4028/www.scientific.net/AMM.284-287.2330
M3 - 會議論文篇章
AN - SCOPUS:84873916864
SN - 9783037856123
T3 - Applied Mechanics and Materials
SP - 2330
EP - 2336
BT - Innovation for Applied Science and Technology
T2 - 2nd International Conference on Engineering and Technology Innovation 2012, ICETI 2012
Y2 - 2 November 2012 through 6 November 2012
ER -