The Design and Application for a Bio-inspired Nonlinear Intelligent Controller

Abstract

Based on the bi-modulation mechanism in body, we present reinforcement and suppress intelligent controller (RSIC), and design its control algorithm in this paper. Corresponding to the relative physiological system, we design the structure of RSIC, which includes super management unit (SMU), reinforcement control unit (RCU), suppress control unit (SCU), and assistant control unit (ACU). When set point changes or great error appears, the RCU first takes an effect. And the RCU will output a high or low limit value with a bionic filter, which can accelerate the rise time of control system. After a set time, the SCU will be enabled and output a reverse output compare to output of RCU with another bionic filter, which may reduce or avoid the overshoot or vibration. The final comprehensive effect of RCU and SCU is the coming control stable output. When the control system gets a stable status, the ACU will work with the conventional PI law to improve the control accuracy. SMU can make RCU, SCU, and ACU cooperate with each other. The simulation results indicate that RSIC has better control performance than conventional PID control algorithm.