Mixed H₂/H_? Robust Controller For Boiler-Turbine Based On T-S Fuzzy Model

The coordinated control system?CCS?for boiler-turbine unit is a complex multi-variable nonlinear control system.Many advanced control algorithms have been initially applied to the control system and some control problems have been solved.However,in the field operation,the control system will be disturbed by various uncertainties,resulting in uncertainties in the system model.And the problems ecountered with the frequent load change of large magnitude,which are badly needed to tackle in electrical industries,are still unsolved.This paper studies the robust H₂/H?tracking controller and its related theories to solve this problem.The specific research work is as follows:?1?Under a certain condition of the coordinated control system,according to the determined state space model,the robust H₂/H?robust zero error tracking control strategy of the system is designed.That is,in the controller of the control strategy,not only the state feedback term of the system is designed,but also the integral term about the tracking error is designed,which effectively eliminates the static tracking error of the system tracking set value output,and can obtain better dynamic performance indicators.In addition,in order to verify that the deviation between the identification model and the actual system model,the control strategy can still obtain good performance indicators to a certain extent.The state quantity related parameters in the original Bell-?str?m furnace coordination system model are subjected to 15%perturbation,and the control quantity related parameters are subjected to 10%perturbation.?2?The T-S fuzzy model is used to approximate the nonlinear system model,and the robust H₂/H?control strategy based on T-S fuzzy model is designed.At the same time,in order to consider the model perturbation and the unmeasurable system state,a full-dimensional state observer is added to the T-S fuzzy robust H₂/H?control strategy,and then the appropriate optimization solution is selected according to the performance requirements of the control system to obtain the corresponding controller parameters.Solve the problem of unpredictable system state and model perturbation.Improve the on-the-spot utility of control strategies.