摘要
近年来,非线性规划算法在最优控制领域中正受到越来越多的关注。该文深入研究并实现了一种新的非线性规划算法———FSQP算法,该算法具有所有迭代点均处于可行域之内、收敛速度较快的特点。提出了一种基于FSQP算法的约束非线性系统最优控制方法。然后,运用该方法解决了带有约束的复杂非线性系统的多变量时间最优控制问题,并通过计算机仿真表明了该控制算法的可行性和良好的控制效果。
The nonlinear programming algorithms are currently gaining significant attention in the field of optimal control. As a new nonlinear programming algorithm, the FSQP is deeply researched and realized in this paper. This algorithm has strong convergence, and each iteration is feasible. A FSQP algorithm based method for constrained nonlinear system optimal control problem is developed. Then the multivariable time-optimal control problem of complex constrained nonlinear system is solved by this method. The computer simulation shows this control algorithm's feasibility and better effectiveness.
出处
《计算机仿真》
CSCD
2004年第5期53-55,共3页
Computer Simulation
基金
航空科学基金(99C53022)
关键词
约束非线性系统
最优控制
算法
Constrained nonlinear system
Optimal control
Algorithm
