Design and analysis of a load frequency control system based on improved artificial intelligence control algorithm

Abstract

In actual industrial control, the performance of the control system may be undermined or destabilized by the various complex nonlinear control processes. To ensure the stability of the control system, this paper improves the generalized active disturbance rejection control (GADRC). Firstly, the dead zone of the governor was converted to obtain the total transfer function of the control system, and the system stability was analyzed, considering the applicability of GADRC to non-minimum phase processes. Then, an error compensation strategy was proposed to control the system performance. Simulation results show that the improved GADRC can fully utilize the known information of the plant model, and obtain proper gains of the controller and the observer. In addition, the load frequency control (LFC) system can work effectively, when the dead zone of the governor has nonlinear processes. Finally, the proposed error compensation strategy can ensure the control performance of the system.

Keywords

• Artificial intelligence control
• Generalized active disturbance rejection control (GADRC)
• Plant model information
• Error compensation strategy