基于遗传算法的结构振动主动控制优化方法

Optimization method of structure vibration active control based on hybrid genetic algorithm

在结构振动主动控制的研究中,控制能量是限制其广泛应用的瓶颈。为减少控制系统所需能量,有必要对结构进行优化设计,而传统的优化方法对于振动主动控制系统的优化不太适合。为此,在杂交遗传算法和实代码遗传算法的基础上,开发了一种改进的杂交遗传算法,该算法不仅可以计算含不等式约束的优化问题,而且可以处理含线性等式的优化目标问题。最后给出了计算实例来说明所提方法的有效性。

The amount of control energy has become a bottleneck of its extensive application in the research of structure vibration active control. It is necessary to optimize the designed structures for reducing control energy, however, traditional optimization algorithms are not satisfied for vibration active control system. Therefore, an improved hybrid genetic algorithm is presented which is based on both hybrid genetic and real coded genetic ones, which were developed recently. The proposed method can be used to solve the optimization problems with unequal or linear equal constraint equations. Finally, two examples were shown to validate the effect of the presented method.