Control of Trms using Adaptive Neuro Fuzzy Inference System (ANFIS)
Kanak Kalyani, S. Kanagalakshmi · 2020 International Conference on System, Computation, Automation and Networking (ICSCAN) · 2020
This paper gives approach about the designing of ANFIS controller to control a TRMS to track the desired trajectory and make the system stable. The stages of development of a two input ANFIS model were presented. It shows the designing of controller is easy and it reduces the time and memory. In MATLAB and SIMULINK environment, the controller and TRMS are simulated by using ANFIS editor GUI. The proposed controller response is compared with the PID controller. The response shows that ANFIS controller improves setpoint tracking, decrease the settling time and control effort.