基于混沌多目标优化的AVR系统分数阶PID控制器频域设计
Frequency Domain Design of Fractional Order PID Controller for AVR System Using Chaotic Multi-objective Optimization
AI总结：
本文提出一种基于混沌多目标优化的分数阶PID控制器设计方法，用于AVR系统，通过改进的NSGA-II算法优化控制器参数，保证系统稳定性和鲁棒性。
摘要：
本文设计了一种用于自动电压调节器（AVR）系统的分数阶PID控制器，考虑了矛盾的性能目标。改进的非支配排序遗传算法（NSGA-II）结合混沌Henon映射用于多目标优化设计。Henon映射作为随机数生成器在获得更优设计权衡方面优于原始NSGA-II算法及其Logistic映射辅助版本。Pareto前沿展示了FOPID控制器和传统PID控制器之间不同设计目标的权衡，以阐明各自的优缺点。该设计在频域进行，因此设计的稳定性和鲁棒性得以自动保证，不同于其他基于时域优化的控制器设计方法。
英文摘要：
A fractional order (FO) PID or FOPID controller is designed for an Automatic Voltage Regulator (AVR) system with the consideration of contradictory performance objectives. An improved evolutionary Non-dominated Sorting Genetic Algorithm (NSGA-II), augmented with a chaotic Henon map is used for the multi-objective optimization based design procedure. The Henon map as the random number generator outperforms the original NSGA-II algorithm and its Logistic map assisted version for obtaining a better design trade-off with an FOPID controller. The Pareto fronts showing the trade-offs between the different design objectives have also been shown for both the FOPID controller and the conventional PID controller to enunciate the relative merits and demerits of each. The design is done in frequency domain and hence stability and robustness of the design is automatically guaranteed unlike the other time domain optimization based controller design methods.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
