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一种新的ＦＡＣＴＳ设备的多目标优化控制方法，即ＦＡＣＴＳ设备的智能预估控制方法综合了预测控制和逆系统控制的优点，将确定ＦＡＣＴＳ设备最优控制信号的过程分解为先对ＦＡＣＴＳ设备的候选输出进行筛选作业，以求得ＦＡＣＴＳ设备的最优输出，然后再根据最优输出反演计算ＦＡＣＴＳ设备的实际控制信号这样两个子过程。在各个子过程中，人工神经网络技术和模糊推理方法被分别用于解决不同的问题。文中还以先进的静止无功发生器（ＡＳＶＧ）为例介绍了基于智能预估控制方法的ＦＡＣＴＳ设备智能预估控制器的设计步骤，计算机仿真的结果证实了这种新的控制方法的有效性。
A new multi-objective optimization control method of FACTS equipment, that is, the intelligent predictive control method of FACTS equipment, combines the advantages of predictive control and inverse system control, and decomposes the process of determining the optimal control signal of FACTS equipment into the first of FACTS equipment Candidate outputs are filtered to obtain the optimal output of the FACTS device and then to the two sub-processes of calculating the actual control signal of the FACTS device based on the optimal output. In each sub-process, artificial neural network technology and fuzzy reasoning methods were used to solve different problems. In this paper, the design procedure of intelligent predictive controller of FACTS based on intelligent predictive control is introduced with the example of advanced static var generator (ASVG). The results of computer simulation confirm the effectiveness of this new control method .