Design and implementation of an intelligent multi modular joint (MMJ)-brain controller: application to aircraft and brushless DC (BLDC) systems

This paper presents a new intelligent controller by inspiring the mammalian brain connections with various internal parts. Cerebrum, Cerebellum and brain stem are modeled to develop a new intelligent control scheme. There is a modular connection between Cerebellum and Cerebrum with deep nuclei and red nuclei that passes through brain stem to send an action signal. A computational model is developed by inspiring connections and named as Multi Modular Joint-Brain controller (MMJ-BC). The proposed MMJ-BC controller effectiveness is validated by applying on nonlinear dynamical systems such as position control of Aircraft system and speed control of Brushless DC motor. MMJ-BC performance has been analyzed under various operating conditions and obtained results are verified by comparing with the performance of existing Cerebrum (BELBIC) and with Cerebellum based controllers. The results demonstrates excellent performance and capable to withstand under different operating conditions.