摘要
提出了一种基于量子粒子群(QPSO)的自抗扰控制器(ADRC)设计及参数整定方法。利用自抗扰控制器抗干扰能力强、鲁棒性好、对模型参数变化适应能力强的特点,设计了自抗扰纵向飞行控制器以提高飞行控制性能。针对所设计的自抗扰控制器参数多,需要依靠专家经验或试凑进行整定的问题,应用QPSO算法进行控制器参数整定。仿真结果表明,经QPSO算法整定参数后的ADRC不仅具有良好的控制效果,使系统实时跟踪指令信号,而且当系统参数发生变化时,仍具有较好的性能。
An ADRC controller design and parameter tuning method,based on the Quantum-behaved Particle Swam Optimization（QPSO） algorithm,is proposed in this paper.Since it shows rejection to disturbances,strong robustness and insensitivity to model parameter variations,an ADRC is designed so as to improve the flight control performance.Usually,expert experience and trial and error method are needed to tune an abundance of parameters in the ADRC controller,which is impractical and time-consuming.In order to solve the problem,the QPSO method is applied to parameter tuning.Simulation suggests that the ADRC controller,tuned by the QPSO algorithm,has a good control effect and guarantees real-time tracking of the command signal.Moreover,the tuned controller is insensitive to parameter variations.
出处
《飞行力学》
CSCD
北大核心
2011年第2期45-48,共4页
Flight Dynamics
关键词
自抗扰控制器
量子粒子群算法
参数整定
纵向短周期
active disturbance rejection controller
quantum-behaved particle swam optimization algorithm
parameter tuning
longitudinal short period
