Study On Control Methods Of Microbial Fuel Cell Based On T-S Fuzzy Model

At present,human’s daily energy needs are mainly provided by burning fossil fuels,which leads to problems such as energy shortage and environmental pollution.As a new type of clean energy,microbial fuel cells use electricity-generating microorganisms as catalysts to convert chemical energy in sewage and sludge into electric energy.The development and popularization of microbial fuel cells is of great significance for ensuring adequate energy supply and reducing environmental pollution.However,microbial fuel cells are a class of complex nonlinear systems,and the complexity of their internal reactions makes it difficult to achieve stable and maximum output voltage under uncontrolled conditions.At the same time,microbial fuel cells are prone to a variety of external disturbances and controller perturbations during operation,which will further affect the stability of the output voltage of microbial fuel cells.To solve the above problems,this thesis uses the method of T-S fuzzy model to design the controller,to ensure that the system can still ensure the stable voltage output when the controller perturbation,external disturbance and other limiting factors.The main content of this thesis is as follows:(1)The T-S fuzzy modeling of microbial fuel cell system is studied based on the single cell and single population microbial fuel cell model.A single cell and single population microbial fuel cell system is analyzed,and the modeling process of microbial fuel cell is described systematically.In order to facilitate the design of system controller,a T-S fuzzy model of microbial fuel cell was established by using sector nonlinear method on the basis of the established nonlinear model of microbial fuel cell.In this study,a control-oriented T-S fuzzy model for microbial fuel cells is proposed for the first time,which is a further expansion of the field of microbial fuel cell control,and also provides a basis for the subsequent two parts of control research.(2)A non-fragile guaranteed cost control is studied for microbial fuel cell system.Aiming at the problem that microbial fuel cell system is susceptible to various controller perturbation factors during operation,a non-fragile guaranteed cost control method was proposed based on the T-S fuzzy model.This method can make the system state trace to the set value,reduce the influence of system controller perturbation on the system,and make the system have certain performance index.This research solves the problem that it is difficult to ensure stable voltage output when controller perturbation exists in microbial fuel cell system and improves the practicability of microbial fuel cell.(3)A non-fragileH_∞control is studied for microbial fuel cell system.Aiming at the synthesis problem that microbial fuel cells are susceptible to controller perturbation and external perturbation,a non-fragile control method is proposed based on the T-S fuzzy model,which can effectively reduce the influence of external perturbation and controller perturbation on the system.At the same time,considering the conservativeness of the synthetic conditions derived from the common membership function,affine matching membership function is used to design the controller.This study not only improves the stability of the output voltage of microbial fuel cell system with external disturbance and controller perturbation,but also provides a reference for the extension of affine matching membership function in fuzzy control field.