Browsing by Author "Koothu Kesavan, K."
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item FPGA based direct torque control with speed loop Pseudo derivative controller for PMSM drive(Springer, 2019) Karthikeyan, A.; Koothu Kesavan, K.; Nagamani, C.This paper presents a comprehensive evaluation of proposed speed loop pseudo derivative feedback (PDF) controller based DTC with speed loop PI based direct torque controller (DTC) for permanent magnet synchronous motor (PMSM) drive. The proposed PDF-DTC system significantly improves dynamic response i.e. completely eliminates overshoot in speed, reduces 50% overshoot in electromagnetic torque and has two times faster settling time compared to PI-DTC system during step changes in speed with load disturbance. The proposed controller is verified for different cases viz., speed variation at constant load and variation in the load torque at constant speed. The proposed controller is implemented for 1.5 kW laboratory prototype PMSM drive using FPGA ALTERA cyclone II. Experimental results demonstrates the efficacy of the proposed controller. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.Item Laboratory implementation of electromagnetic torque based MRAS speed estimator for sensorless SMPMSM drive(Institution of Engineering and Technology JBristow@theiet.org, 2019) Koothu Kesavan, K.; Karthikeyan, A.; Blaabjerg, F.This Letter proposes a simple electromagnetic torque based model reference adaptive system (MRAS) speed estimator for sensorless surface mount permanent magnet synchronous motor (SMPMSM) drive. The proposed estimator is formed using instantaneous measured and estimated electromagnetic torque. The proposed estimator is implemented for 1.5 kW laboratory prototype SMPMSM drive using field programmable gate array ALTERA cyclone II. Experimental results demonstrate the efficacy of the proposed scheme under different test conditions viz. different low-speed regions and standstill at different load conditions with uncertainty in machine parameters. Results show that the estimator is stable in low-speed regions and exhibits robustness against uncertainties in machine parameters. © The Institution of Engineering and Technology 2019
