A Real-Time Adaptive Learning Control Based on Evolutionary Algorithm of the Application to an Electro-Hydraulic Servo System

Abstract

In case of restricting the relation between the parents and the offspring as each one in order to learn in real time, a new numerical formula is proposed to solve the difficulty of adjusting the search region as reducing the individual by using the error generated from the sensor of the dynamic system. The mutation equation of evolutionary strategy uses the error that is generated from the dynamic system. Competitive individuals among total population are reduced with automatic adjustments of the search region in accord with the error. Therefore, it is possible to control the control object varied as time changes because control signal of the learning is generated in real-time. As the state value of the control object is generated, evolutionary is applied strategy each sampling time because the learning process of an estimation, selection and mutation is done in real-time. These algorithms can be applied; the people who do not have knowledge about the technical tuning of dynamic systems could design the controller or problems in which the characteristics of the system dynamics are slightly varied as time changes.