改进全局和声算法在鲁棒极点配置中的应用

提出了改进全局和声搜索(IGHS)算法,给出了新的位置更新策略.通过引入新的位置更新策略,可以使算法动态产生解区间,提高了算法对解空间信息开发的能力,避免了因过早收敛而易陷入局部最优的不足.将所提出算法应用于线性系统的鲁棒极点配置中,克服了以往条件数优化计算中需要拟凸转化处理的不足,方便地实现了控制系统的任意极点配置.最后,针对文献中的多输入多输出系统进行仿真对比实验,实验结果表明本方法得到的闭环系统具有更好的鲁棒性.

Robust Pole Placement via Improved Global Harmony Search Algorithm

An improved global harmony search (IGHS) algorithm was proposed， and a novel position updating strategy was introduced in the IGHS algorithm. The interval solution can be generated dynamically with the proposed algorithm， and the ability of searching the solution space through the position updating strategy is improved， which prevents the phenomena of premature convergence and falling into a local optimum. The algorithm is employed in the robust pole placement problems， and it is easy to implement arbitrary pole placement for the linear control systems， and the convex conversion process in conventional condition number optimizations is not needed. Finally simulation investigation is carried out for a multivariable system， and the simulation result demonstrates the better robustness of the closed-loop system gained by the proposed algorithm.