Title :
A self reconfigurable electric motor controller for hybrid electric vehicle applications
Author :
Parsa, Leila ; Toliyat, Hamid A.
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
In this paper, a novel approach to design a self reconfigurable electric motor controller for hybrid electric vehicle application is proposed. This system detects the current sensors failure and will estimate the current successfully such that the motor continues working safely. The motor model is used for estimating the currents. The phase currents are estimated using Luenberger type observer. The state space equations in this study have been decoupled and linearized using the feedback linearization technique. Hall sensors which have the resolution of 60 degrees have been used instead of high resolution position sensors. The proposed method has been simulated in Matlab/Simulink under different speed commands and different load torques. The results show the excellent performance of the developed method. The developed observer can also successfully stand for the current sensors during the whole operating time. The proposed drive is implemented on a three phase, four pole interior permanent magnet (IPM) motor and the Texas Instruments TMS320LF2407 digital signal processor is used for performing the digital control algorithm. Experimental results show the successful operation of the proposed system.
Keywords :
control system synthesis; digital control; digital signal processing chips; digital simulation; feedback; hybrid electric vehicles; linearisation techniques; machine control; observers; permanent magnet motors; sensors; state-space methods; synchronous motors; Hall sensors; Luenberger type observer; Matlab/Simulink; TMS320LF2407 digital signal processor; Texas instruments; current sensors; current sensors failure detection; digital control algorithm; feedback linearization technique; hybrid electric vehicle applications; interior permanent magnet motor; load torques; motor continues working safely; motor model; phase currents estimation; position sensors; self reconfigurable electric motor controller design; state space equations; Electric motors; Equations; Hybrid electric vehicles; Linearization techniques; Mathematical model; Observers; Phase estimation; Sensor systems; State feedback; State-space methods;
Conference_Titel :
Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE
Print_ISBN :
0-7803-7906-3
DOI :
10.1109/IECON.2003.1280106