摘要

Based on the modulation mechanism of neuroendocrine-immune system, we present a nonlinear optimized intelligent controller (NOIC) in this paper. The NOIC is composed of a presentation unit (PU), an antibody control unit (ACU), a main control unit (MCU), an optimization unit (OU), and an identification unit (IU). PU can pretreat the real-time control error dynamically based on the mechanism of immune presentation. ACU can adjust the number of antibody controller entity (ACE) to eliminate control error. MCU is designed to regulate the control action of PU and ACU. OU and IU can optimize the parameters of PU and ACU based on the genetic algorithm (GA). The simulation results demonstrate that the control performance of the NOIC is better than that of the conventional PID controller.

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