An Intelligent Controller Inspired from Neuroendocrine-Immune System

摘要

The nervous system, endocrine system, and immune system are three important physiological modulation systems in body, and compose the neuroendocrine-immune (NEI) system. The interactions among them are bi-direction and complex. The NEI system has better self-adaptability and stability. The study on the artificial NEI system may inspire some novel methods to solve complicated problems. However, there are few reports on the intelligent controller based on the NEI system. In this paper, based on the modulation mechanism of neuroendocrine-immune system, we present a novel nonlinear optimized intelligent controller (NOIC) and provide a method to optimize and adjust its control parameters dynamically, as thus to improve its control performance. 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). The ACU is composed of several antibody controller entities (ACEs). PU first pretreats real-time control error dynamically based on the mechanism of immune presentation, and the ACU can adjust the number of ACE to eliminate control error. MCU is designed to regulate the control action of PU and ACU. And the OU and IU can optimize the parameters of the PU and ACU based on the genetic algorithm (GA).Thus the control performance can be improved. The simulation results demonstrate that the control performance of the NOIC is better than that of the conventional PID controller.