Hydraulic Servo Control System Based On Brain Emotional Learning

This paper is a research for the hydraulic servo system control strategy which are complex, parameters in time-variability and nonlinear. Use the conventional classical control methods designed controller can basically meet the system requirements for the work when the hydraulic servo system's frequency is not high, and the external load parameters change little. But when system asked for control the more accurate mathematical model, the traditional classical control methods will be in resolve uncertainty, defect such as complex issues handling non-linear.The emotional learning process plays an effective role in Amygdale-Orbitofrontal (A-O) mammalians brain, which is the calculating model for simulation emotional learning process of the brain. Brain emotional learning as a forefront discipline has many advantages in imitation of the behavior of biological intelligence, especial in adaptive capacity. This article is to design a new intelligent controller based on brain emotion learning model and use the intelligent controller in the hydraulic servo system.Because the hydraulic servo system often has complex mathematical models, the BEL adaptive institutions is necessary. The common adaptive institutions algorithms is very hard use in the hydraulic servo system, and the process of controlling will use more time. The reaction of the BEL control model system is relatively simple and handy, so it can be gradually replaced by adaptive system.This paper first introduced the hydraulic servo system and brain emotional learning model, simple the hydraulic servo system into a simplified mathematical model, then design hydraulic servo control system based on Brain Emotional Learning, and use reference adaptive control to design model reference adaptive control system of hydraulic servo system based on Brain Emotional Learning. MATLAB software were then used in the two systems under different parameters of the system simulation output, and the results are compared with PID control. This paper shows that the design of these control systems can be resolved the hydraulic servo system's problems. We can see the control system have better control effects, such as better static and dynamic performance and so on.