Title :
New integration algorithms for estimating motor flux over a wide speed range
Author_Institution :
Dept. of Electr. & Comput. Eng., Ryerson Polytech. Univ., Toronto, Ont., Canada
Abstract :
This paper proposes three new integration algorithms for motor flux estimation. The algorithms are developed to solve the problems associated with a pure integrator. Of the proposed integration algorithms, one with adaptive control has the best performance. This algorithm can effectively eliminate the nonlinear distortion produced by amplitude limiters used in the other two. The DC drift problem associated with the pure integrator is also solved. The adaptive algorithm can accurately estimate the motor flux over a wide speed range (100:1, i.e., 60 to 0.6 Hz). The performance of the algorithms is investigated and compared. Experiments on a PWM CSI-fed synchronous motor drive have been carried out to verify the proposed algorithms
Keywords :
DC-AC power convertors; PWM invertors; adaptive control; control system analysis; integration; machine control; machine theory; magnetic flux; parameter estimation; synchronous motor drives; 60 to 0.6 Hz; DC drift problem; PWM CSI; adaptive control algorithm; algorithms performance; integration algorithms; motor flux estimation; nonlinear distortion; speed range; synchronous motor drive; AC motors; Adaptive algorithm; Adaptive control; Cutoff frequency; Feedback loop; Filters; Nonlinear distortion; Pulse width modulation; Synchronous motors; Voltage;
Conference_Titel :
Power Electronics Specialists Conference, 1997. PESC '97 Record., 28th Annual IEEE
Conference_Location :
St. Louis, MO
Print_ISBN :
0-7803-3840-5
DOI :
10.1109/PESC.1997.616875