多目标函数优化法及其在飞机鲁棒控制系统设计中的应用

MULTI-OBJECTIVE FUNCTION OPTIMIZATIONMETHOD AND ITS APPLICATION TO THEDESIGN OF AIRCRAFT ROBUSTCONTROL SYSTEMS

本文提出了一种新的适用于控制系统设计的多目标函数优化法,其特点是:将所有目标函数根据控制系统的设计要求进行数学处理,从而将多目标函数优化问题转化为无约束的单目标函数优化问题,然后再将该函数一次优化得到设计参数的值。这一方法能有效地用于鲁棒控制系统的设计,使闭环系统对对象参数的大范围变化具有鲁棒性。本文用这一方法,以C^(?)规范为准则,对某型歼击机的纵向控制增稳系统进行了设计,得到了性能优良、鲁棒性强的飞机控制系统。

In this paper, a new multi-objective function optimization met-hod for designing control systems is proposed. Based on the design requirements, the problem of multi-objective function oqtimization is transformed mathematically into a non-constrained single objec-tive function optimization problem, the latter is then solved once for all to determine the parameter values desired. This method can be applied efficiently to the design of robust control systems with large ranges of parameter variation.In our work, this method was used to design a fighter aircraft longitudinal control system with stability augmentation in accor-dance with C* Specifications. The resultant system shows an excellent performance with high robustness.