Decentralized networked control system design using Takagi-Sugeno (TS) fuzzy approach

Wind Driven Induction Generator Regulation Using Ant system Approach to Takagi Sugeno Fuzzy PID Control

This study introduces new tuning technique for the PID control scheme and its application to regulate the voltage magnitude and the frequency of wind energy conversion system (WECS). The developed technique is stem from blending the ant system optimization method with Takagi Sugeno (T-S) fuzzy system approach. The optimum relationship between the PID controller gains and the parameters of T-S f...

Takagi-Sugeno Fuzzy Modeling for Process Control

Takagi-Sugeno Fuzzy Control of Induction Motor

This paper deals with the synthesis of fuzzy state feedback controller of induction motor with optimal performance. First, the Takagi-Sugeno (T-S) fuzzy model is employed to approximate a non linear system in the synchronous d-q frame rotating with electromagnetic field-oriented. Next, a fuzzy controller is designed to stabilise the induction motor and guaranteed a minimum disturbance attenuati...

Nonlinear model reference adaptive control using Takagi-Sugeno fuzzy systems

This paper develops a new direct model reference fuzzy adaptive control of SISO continuous-time nonlinear systems. The model following conditions are assured by using an adaptive Takagi-Sugeno (TS) fuzzy system as nonlinear state feedback controller. Both full state information and observer-based control schemes are investigated. It is shown, that the proposed control algorithm guarantees the s...

Fuzzy model-based predictive control using Takagi-Sugeno models

Nonlinear model-based predictive control (MBPC) in multi-input multi-output (MIMO) process control is attractive for industry. However, two main problems need to be considered: (i) obtaining a good nonlinear model of the process, and (ii) applying the model for control purposes. In this paper, recent work focusing on the use of Takagi±Sugeno fuzzy models in combination with MBPC is described. F...