Design And Research On Embedded Intelligent Controller Of Biomass Hot Water Boiler

Biomass energy is a renewable clean energy,which has broad prospects for its development and application.Developed countries such as Denmark,the United States and Italy all use biomass boilers for district heating,power generation or cogeneration.Biomass boiler instead of coal-fired boilers,decentralized heating,catering,bathing,swimming pool and other facilities,more practical significance.Domestic and foreign scholars have conducted in-depth research based on model identification,adaptive control,nonlinear predictive control,and applied these research theories to temperature control system.However,these theoretical researches are rarely combined with the heating system of hot water boiler.In this paper,model identification and nonlinear adaptive control algorithm are applied to the heating of biomass hot water boiler to achieve energy-saving,high efficiency and stability.In this paper,based on the typical heating process control,according to the multi-variable and strong non-condensing performance of key control parameters such as boiler water temperature,return water temperature,indoor temperature,outdoor temperature,delay time,Linearity,strong coupling,uncertainty and difficult to model and other issues,carried out model identification,nonlinear adaptive controller design and so on.Aiming at the uncertainty of multivariable parameters existing in indoor temperature control during heating,a nonlinear adaptive controller is proposed.The influence of external disturbances can be restrained by the controller designed in this paper which due to improve the stability of non-linear heating system and realize the robust control of indoor temperature.The controllers with or without adaptive control algorithm are respectively applied to the heating system,and the indoor temperature in the heating process is simulated.It can be seen that due to preclude the use of adaptive controller,the steady-state error of the closed-loop system can converge to zero quickly and asymptotically,which greatly improves the tracking accuracy and robustness of the system.In this paper,the heating mechanism model is established according to the law of conservation of energy firstly,and the experimental data of the heating system is collected during the steady operation.Then use the least squares algorithm to identify unknown parameters of the model,and the parameters of the controller are adjusted according to the simplified heating model to achieve the steady state control.Compared with the traditionalcontrol methods,the control method based on model identification and nonlinear adaptive control improves the quality of the controller,and can precisely and quickly control the indoor temperature.Finally,on the embedded system STM32 experimental development board,according to the program written in this control system,the MDK integrated development environment of the host computer is used for compiling and debugging,which verifies the full functions of the control system test program.The commissioning and testing showed that the intelligent controller of biomass hot water boiler based on embedded system meets the basic requirements of economic operation of small biomass hot water boiler.The controller is designed with the characteristics of high stability,intelligent control,strong develop ability,low power consumption and small size.The controller based on embedded system provides a new type of modern monitor for industrial boilers,which has a great significance and broad application prospects for ensuring the safety of production,improving the level of automation and energy saving、efficient and stable operation.