Title :
High dynamic direct average torque control for switched reluctance drives
Author :
Inderka, Robert B. ; De Doncker, Rik W.
Author_Institution :
Inst. for Power Electron. & Electr. Drives, Aachen Univ. of Technol., Germany
Abstract :
In switched reluctance machines, no proportionality between torque and phase current exists as in rotating field machines. Therefore, a new technique was developed to estimate online average electromagnetic torque of an SRM drive. This novel average torque and energy-ratio estimation technique can be used for closed-loop torque control. Different control architectures for closed-loop average torque control are analyzed and evaluated in this paper because multiple methods exist to track the average torque by adjusting the control variables (/spl theta//sub on/, /spl theta//sub off/, i/sub ref/). The switched reluctance drive controller used in this study was developed for a 55 kW electric-vehicle traction drive. Hence, the system is controlled by a torque command set by the driver. Experimental results obtained from a 100 kW test bed for traction drives are presented.
Keywords :
closed loop systems; control system synthesis; electric propulsion; electric vehicles; machine control; machine testing; machine theory; parameter estimation; reluctance motor drives; torque control; traction motor drives; 100 kW; 55 kW; SRM drive; closed-loop torque control; control design; control performance; control simulation; control variables adjustment; electric vehicle traction drive; energy-ratio estimation; high-dynamic direct average torque control; online average electromagnetic torque estimation; switched reluctance drives; torque command set; Control systems; Electric variables control; Equations; Neural networks; Open loop systems; Power electronics; Reluctance machines; Torque control; Voltage; World Wide Web;
Conference_Titel :
Industry Applications Conference, 2001. Thirty-Sixth IAS Annual Meeting. Conference Record of the 2001 IEEE
Conference_Location :
Chicago, IL, USA
Print_ISBN :
0-7803-7114-3
DOI :
10.1109/IAS.2001.955917