An Adaptive Neuro-Fuzzy Inference System to Improve Fractional Order Controller Performance  

作　　者：N.Kanagaraj 

机构地区：[1]Electrical Engineering Department,College of Engineering at Wadi Al-dawasir,Prince Sattam Bin Abdulaziz University,Wadi Al-dawasir,11991,Saudi Arabia

出　　处：《Intelligent Automation & Soft Computing》2023年第3期3213-3226,共14页智能自动化与软计算（英文）

基　　金：The author extends their appreciation to the Deputyship for Research&Innovation,Ministry of Education in Saudi Arabia for funding this research work through the project number(IFPSAU-2021/01/18128).

摘　　要：The design and analysis of a fractional order proportional integral deri-vate(FOPID)controller integrated with an adaptive neuro-fuzzy inference system(ANFIS)is proposed in this study.Afirst order plus delay time plant model has been used to validate the ANFIS combined FOPID control scheme.In the pro-posed adaptive control structure,the intelligent ANFIS was designed such that it will dynamically adjust the fractional order factors(λandµ)of the FOPID(also known as PIλDµ)controller to achieve better control performance.When the plant experiences uncertainties like external load disturbances or sudden changes in the input parameters,the stability and robustness of the system can be achieved effec-tively with the proposed control scheme.Also,a modified structure of the FOPID controller has been used in the present system to enhance the dynamic perfor-mance of the controller.An extensive MATLAB software simulation study was made to verify the usefulness of the proposed control scheme.The study has been carried out under different operating conditions such as external disturbances and sudden changes in input parameters.The results obtained using the ANFIS-FOPID control scheme are also compared to the classical fractional order PIλDµand conventional PID control schemes to validate the advantages of the control-lers.The simulation results confirm the effectiveness of the ANFIS combined FOPID controller for the chosen plant model.Also,the proposed control scheme outperformed traditional control methods in various performance metrics such as rise time,settling time and error criteria.

关 键 词：Adaptive neuro-fuzzy inference system(ANFIS) fuzzy logic controller fractional order control PID controller first order time delay system 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]