2014 12th International Conference on Frontiers of Information Technology (FIT) (2014)
Dec. 17, 2014 to Dec. 19, 2014
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FIT.2014.24
This paper presents the design of fuzzy logic based speed regulator for DC series motor. A Takagi-Sugeno (TS) fuzzy model of DC series motor considering parametric uncertainty is first constructed using sector nonlinearity and set of operating point techniques. An integral state is then introduced in each fuzzy plant sub-model to guarantee exact tracking of speed commands. A parallel distributed compensation (PDC) controller under H-, decay rate and control input constraints, is finally designed for the augmented system to regulate the motor speed in the presence of load torque and parameter variations. MATLAB simulations are performed to prove the effectiveness of the proposed regulator.
DC motors, Mathematical model, Torque, Fuzzy logic, Load modeling, Regulators, Fuzzy sets,MATLAB/Simulink, DC series motor, TS fuzzy model, LMI regulator, Parallel distributed compensation
Umar Farooq, Jason Gu, Muhammad Usman Asad, Ghulam Abbas, "Robust Takagi-Sugeno Fuzzy Speed Regulator for DC Series Motors", 2014 12th International Conference on Frontiers of Information Technology (FIT), vol. 00, no. , pp. 79-86, 2014, doi:10.1109/FIT.2014.24