Title :
Application of Spatial Iterative Learning Control for Direct Torque Control of Switched Reluctance Motor Drive
Author :
Sahoo, S.K. ; Panda, S.K. ; Xu, J.X.
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore
Abstract :
In this paper, a novel direct torque controller for switched reluctance motor (SRM) is proposed using spatial iterative learning control (ILC). SRM magnetization characteristics are highly non-linear, and torque is a complex and coupled function of phase current and rotor position. Direct torque control (DTC) scheme avoids the complexity of torque-to- current conversion as required in indirect torque control scheme. Traditional DTC scheme uses a hysteresis controller and leads to large amount of torque ripples when implemented using a digital controller. Advanced non-linear control methods can be used to improve the performance of DTC in SRM. However, such methods are often too complex for real-time implementation or require an accurate model of SRM magnetization characteristics. As shown here, ILC only uses a linearized magnetization characteristics and a simple learning law to obtain the desired control signal. An ILC based DTC scheme for SRM torque control for constant motor torque, has been developed and experimentally verified on a 1-hp, 4-phase SRM. Experimental results show the effectiveness of the proposed scheme in terms of average torque control and ripple minimization.
Keywords :
adaptive control; digital control; iterative methods; machine control; nonlinear control systems; reluctance motor drives; torque control; SRM magnetization characteristics; average torque control; digital controller; direct torque control; linearized magnetization; nonlinear control methods; phase current; power 1 hp; rotor position; spatial iterative learning control; switched reluctance motor drive; torque ripple minimization; Artificial neural networks; Digital control; Hysteresis motors; Magnetization; Reluctance machines; Reluctance motors; Sampling methods; Table lookup; Torque control; Voltage control; direct torque control; iterative learning control; switched reluctance motor; torque ripple minimization;
Conference_Titel :
Power Engineering Society General Meeting, 2007. IEEE
Conference_Location :
Tampa, FL
Print_ISBN :
1-4244-1296-X
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2007.385538