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飞机的平衡状态求解是飞行控制律设计的基础。现有的飞机平衡方程的求解方法多采用全局优化法,存在收敛速度慢,易陷入局部最优等问题。为解决上述问题,提出一种利用粒子群优化算法求解飞机多种平衡状态的方法,能够利用粒子间的相互作用对整个搜索空间进行并行高效搜索,具有算法简单、收敛速度快等优点。仿真结果表明了对求解飞机平衡状态的有效性。
The solution of aircraft equilibrium state is the basis of flight control law design. Existing methods for solving the equilibrium equations of the aircraft use the global optimization method, which has the problems of slow convergence speed and easy falling into local optimum. In order to solve the above problem, this paper proposes a method of solving multiple equilibrium states of aircraft using Particle Swarm Optimization (PSO) algorithm. It can search the entire search space efficiently and efficiently by using the interaction of particles. The algorithm has the advantages of simple algorithm and fast convergence. Simulation results show the effectiveness of solving the aircraft equilibrium.