带有资格迹的模糊CMAC控制仿真研究

Simulation Research of Fuzzy CMAC Control with Eligibility

提出一种带有资格迹的模糊CMAC控制器(FCE),资格迹的引入可以对控制系统进行超前预测,提高系统的稳定性。研究了FCE系统的构成,并推导其学习算法。为适用于在线控制,给出了高效的FCE算法实现方案。应用于船舶航向控制的仿真结果表明,当存在风浪干扰海况下,船舶航向的控制仍能取得令人满意的效果。

A fuzzy CMAC controller with eligibility (FCE) is proposed. The eligibility can forecast the controlled system, and improve the system stability. The structure of FCE system is presented, and its learning algorithm is deduced. To adapt the algorithm to on-line control, a highly efficient implementation of FCE method is introduced. Applying the FCE controller in a ship steering control system, the simulation results show that the ship course can be properly controlled when there are changeable wind and wave.