Font Size: a A A

Research On The Design Of Fuzzy Dynamic Control System With Self-adaptive Function

Posted on:2020-09-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y N LiuFull Text:PDF
GTID:2428330590495662Subject:Control engineering
Abstract/Summary:PDF Full Text Request
For the control system whose dynamic characteristics change obviously and it is difficult to describe accurately,the traditional control theory method can not meet its control requirements.In this context,the fuzzy control method came into being as a new control strategy,which is mainly used to solve the problem of complex control system design which is difficult to obtain accurate mathematical model.With the arrival of the era of intelligent manufacturing,as well as the cross integration of automatic control,mathematics and computer technology,how to design a wider range of application and better performance of the control design method has been an important topic of concern in the field of engineering applications and academia.Based on the research status and development of fuzzy control,the important contributions of fuzzy control theory and methods in the fields of production and life and the necessity of studying fuzzy control design methods have been expounded in this paper.The control design conditions based on traditional PDC technology have greater conservatism.Therefore,most of the current the control design conditions are obtained through the fuzzy control method based on Non-PDC technology.Although the obtained control design conditions are theoretically feasible,it is difficult to meet the real-time requirements of the system in practice.In this paper,the stability of the fuzzy control system is analyzed in terms of the conservatism of control design conditions and the timeliness of the system.The control method proposed in this paper can reduce the conservatism of the system effectively,that make the method have better universality,and then to achieve better application value.By reducing the burden of online computing,the real-time performance of the system can be improved effectively,and the energy consumption of the system can be reduced at the same time.This paper studies how to reduce the conservatism of the system and the burden of online computing.Firstly,in view of the general discrete time nonlinear system,in order to reduce the conservatism of system,modeling with Takagi-Sugeno(T-S)fuzzy model,and the event triggering mechanism based on the maximum priority is proposed,which fullytakes into account and effectively utilizes more useful information of the normalized fuzzy weighting function at each sampling time,and a new Lyapunov function is designed according to this mechanism.Secondly,based on T-S fuzzy model,the design of discrete time nonlinear systems based on fault estimation observer is considered.On the one hand,a switching control law,the so-called event triggering mechanism,is adopted,and a set of design matrix value variables are introduced,which can effectively reduce the conservatism of control design.On the other hand,by eliminating the redundant terms of the introduced matrix value variables,the computational burden of the control system is reduced to some extent.Finally,the problem of robust fuzzy predictive control for discrete time nonlinear systems is studied.Considering that the cost of on-line computation is the key constraint of the classical predictive control model,the nonlinear local model(NLMs)and the switching control law based on the maximum priority can effectively reduce the burden of on-line computation and improve the conservatism of the system.Based on the fuzzy control scheme proposed in this paper,the design conservatism of the control system can be reduced effectively while the computational burden of the system design can be reduced.Finally,a self-adaptive fuzzy dynamic system control design method is constructed systematically,which can enhance the adaptive range and algorithm efficiency of the theoretical methods.
Keywords/Search Tags:Fuzzy control, Event triggering mechanism, Lyapunov function, switching control, Linear matrix inequality
PDF Full Text Request
Related items