ニューラルネットと微小振動重畳による不感帯を有する油圧モータ角度制御の特性改善

概要

論文の詳細を見る
It is generally not easy to acquire high positioning accuracy in hydraulic servo control systems, since they have an intense non-linearity, such as a dead zone, which is originally caused by leakage and friction. It is considered that the Neural Network compensator is one of the available options to get over the inherent problem. This paper deals with the effect of dither/PWM signals on the steady position error in the hydraulic motor drive system with a state feedback Neural Network. From the computer simulation and the experiment, it is clarified that the application of the dither/PWM signals to the Neural Network control system improves the positioning performance by accompanying the assistance of the Neural Network capability.
社団法人　日本フルードパワーシステム学会の論文