Abstract:There are more and more complex control objects with large inertia, time-varying and time-delaying in modern industrial production. The traditional control algorithms fail to meet their higher and higher control requirements. Inspired by the physiological two-way network regulation mechanism of blood glucose concentration in human body, an intelligent coordinated controller is proposed. The intelligent coordinated controller includes four parts: a main control unit(MCU), an auxiliary control unit(ACU), a monitoring adaptation unit(MAU) and a cooperative control unit(CCU). Under the supervisory control of the MAU and the coordinated control of the CCU, the MCU and the ACU work synergistically to ensure that the intelligent coordinated control system reaches the target value of the control system with a relatively smaller rise time and adjustment time on the premise of no overshoot. In order to verify the control performance of the intelligent coordinated controller, an industrial ethanol fermentation bioreactor is selected as the controlled object, and the temperature of the bioreactor is controlled and simulated. The experimental results show that the intelligent coordinated controller has better dynamic performance, steady-state performance and anti-interference ability when compared with the common BP neural network controller and fuzzy controller.