TY - GEN
T1 - Research on multi-objective optimization design of thrust vector control actuator
AU - Zhou, Jun
AU - Zhang, Jiao Long
AU - Zhou, Feng Qi
PY - 2012
Y1 - 2012
N2 - Aiming at the seriously nonlinear problems of the single nozzle thrust vector control servo system, this paper detailedly deduced the functional relations between the layout of actuators and system dynamic parameters, on the basis of which, a multi-objective optimization model was established with coupling degree, angular asymmetry, as well as length and variation degree of initial swinging arm taken into consideration. Linear weighting method was adopted to convert the multi-objective function into a uni-objective one and an improved genetic algorithm with good robustness was utilized to solve the optimization problem. Calculation results demonstrated that, with this optimization algorithm, sub-objective functions all reach the ideal effects when uni-objective function achieves optimum. The optimization method guarantees that coupling degree, angular asymmetry and swinging arm variation achieve minimum when the initial swinging arm length is at its maximum, which provides theoretical basis for the actuator layout of thrust vector control.
AB - Aiming at the seriously nonlinear problems of the single nozzle thrust vector control servo system, this paper detailedly deduced the functional relations between the layout of actuators and system dynamic parameters, on the basis of which, a multi-objective optimization model was established with coupling degree, angular asymmetry, as well as length and variation degree of initial swinging arm taken into consideration. Linear weighting method was adopted to convert the multi-objective function into a uni-objective one and an improved genetic algorithm with good robustness was utilized to solve the optimization problem. Calculation results demonstrated that, with this optimization algorithm, sub-objective functions all reach the ideal effects when uni-objective function achieves optimum. The optimization method guarantees that coupling degree, angular asymmetry and swinging arm variation achieve minimum when the initial swinging arm length is at its maximum, which provides theoretical basis for the actuator layout of thrust vector control.
KW - Genetic algorithm
KW - Multi-objective optimization
KW - Swinging nozzle
KW - Thrust vector control
UR - http://www.scopus.com/inward/record.url?scp=84871071677&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.591-593.15
DO - 10.4028/www.scientific.net/AMR.591-593.15
M3 - 会议稿件
AN - SCOPUS:84871071677
SN - 9783037855362
T3 - Advanced Materials Research
SP - 15
EP - 20
BT - Manufacturing Engineering and Automation II
T2 - 2012 International Conference on Manufacturing Engineering and Automation, ICMEA 2012
Y2 - 16 November 2012 through 18 November 2012
ER -