Implicit Generalized Predictive Control-Based Fractional-Order PID Strategy for BTTGU Regulation System

The superior stability and rapidity of the speed output of the bulb tubular turbine generator unit (BTTGU) plays an important role for safe operation of water turbine in hydropower. In order to improve the stability and rapidity performance mentioned above, an implicit generalized predictive control-based fractional-order PID (FOPID-IGPC) control strategy is proposed in this paper. Firstly, the improved gravitational search algorithm is used to obtain the model parameters; secondly, the fractional-order PID (FOPID) algorithm and the implicit generalized predictive control (IGPC) algorithm are combined to construct a FOPID-IGPC controller for manipulating BTTGU. Meanwhile, the proposed FOPID-IGPC control strategy is designed systematically. Finally, the effectiveness of the proposed method is verified by simulation scenarios, including start-up, frequency tracking and rotational speed disturbance scenario. In addition, the paper discusses the stability of the system under the designed control strategy when the important parameters vary. The simulation results show that the proposed FOPID-IGPC control strategy can effectively improve the speed and stability of the BTTGU regulation system.