TY - GEN
T1 - A novel control approach
T2 - 6th International Conference on Swarm Intelligence, ICSI 2015 held in conjunction with the 2nd BRICS Congress on Computational Intelligence, CCI 2015
AU - Chang, Yanchun
AU - Pan, Feng
AU - Shu, Junyi
AU - Li, Weixing
AU - Gao, Qi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2015.
PY - 2015
Y1 - 2015
N2 - This study focuses on the steady speed control of brushless DC motor with load torque disturbance from the cam and spring mechanism. Due to the nonlinearity and complexity of the load torque, the control system proposed in this paper is divided into the inner-loop compensator, which is to feed-forward compensate the disturbance, and the outer-loop controller. The inner-loop compensator uses a nonlinear extended state observer (ESO) to compensate the actual system as a nominal model, and the outer-loop pole assignment self-tuning PID controller is used to stabilize the nonlinear nominal model. Since a set of suitable nonlinear ESO parameters are difficult to get normally, particle swarm optimization (PSO) is employed to optimize the observer. The simulation results with high precision verify the effectiveness of the proposed control system.
AB - This study focuses on the steady speed control of brushless DC motor with load torque disturbance from the cam and spring mechanism. Due to the nonlinearity and complexity of the load torque, the control system proposed in this paper is divided into the inner-loop compensator, which is to feed-forward compensate the disturbance, and the outer-loop controller. The inner-loop compensator uses a nonlinear extended state observer (ESO) to compensate the actual system as a nominal model, and the outer-loop pole assignment self-tuning PID controller is used to stabilize the nonlinear nominal model. Since a set of suitable nonlinear ESO parameters are difficult to get normally, particle swarm optimization (PSO) is employed to optimize the observer. The simulation results with high precision verify the effectiveness of the proposed control system.
KW - Brushless DC motor
KW - Nonlinear extended state observer
KW - Particle swarm optimization
KW - Self-tuning PID
UR - http://www.scopus.com/inward/record.url?scp=84947791314&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-20472-7_21
DO - 10.1007/978-3-319-20472-7_21
M3 - Conference contribution
AN - SCOPUS:84947791314
SN - 9783319204710
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 189
EP - 199
BT - Advances in Swarm and Computational Intelligence - 6th International Conference, ICSI 2015 held in conjunction with the 2nd BRICS Congress, CCI 2015, Proceedings
A2 - Tan, Ying
A2 - Buarque, Fernando
A2 - Engelbrecht, Andries
A2 - Gelbukh, Alexander
A2 - Das, Swagatam
A2 - Shi, Yuhui
PB - Springer Verlag
Y2 - 25 June 2015 through 28 June 2015
ER -