【作 者】苏玉刚,陈苓芷,唐春森,马浚豪,呼爱国

【摘 要】

 针对电场耦合型无线电能传输( ECPT) 系统阶数高、非线性、对系统参数变化敏感导致其输出电压质量下降、系统不稳定等问题， 提出一种最优控制器设计方法。该方法首先建立系统广义状态空间平均( GSSA) 模型， 并基于此模型， 利用多目标多约束遗传算法( NSGA-II) 对 PID 控制参数进行自动寻优， 有效解决了高阶系统 PID 控制器最优参数难以设计的难题， 改善了闭环系统的上升时间、稳态误差以及对变化参数的鲁棒性能， 并将超调限定在一定范围内， 提升系统的稳定性。仿真和实验结果验证了 GSSA 模型的准确性以及在此模型上利用 NSGA-II 算法进行控制参数寻优的有效性。

Abstract :Several issues including output voltage distortion and system instability might be caused by the high-order resonant networks， nonlinearity， and parameter-sensitivity in electrical-field coupled power transfer ( ECPT ) systems. An optimal controller design method is proposed in order to overcome these problems. A generalized state space averaging( GSSA) model is built to approximate the ECPT system firstly. Basing on this model， an evolutionary optimization framework is utilized to search for the optimal controllers automatically with the evolutionary multi-objective algorithm NSGA-II. As the results， the difficulty of designing a proportionintegration differentiation ( PID ) controller of a high-order systems is solved effectively. And the system performance， indicated by rise time， steady state error， and robustness of the system， are optimized． Meanwhile， the system overshoot is limited within an acceptable range and the stability of the system is improved. At last， the simulation and experiments verify the accuracy of the GSSA model and the validity of the utilized NSGA-II optimization method.
电工技术学报,2016,31(19):106-114.

【关键词】无线电能传输,电场耦合,参数寻优,广义状态空间平均模型,PID 控制

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