2005
DOI: 10.1049/ip-epa:20045200
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Precise position control using a PMSM with a disturbance observer containing a system parameter compensator

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Cited by 39 publications
(15 citation statements)
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“…Theorem 1: Assume that the LMI (11) is feasible for (X,Y ), the digital control law is given by (9), and the gain matrix K is given by (12). Then, x converges exponentially to zero.…”
Section: Discrete-time Speed Controller Designmentioning
confidence: 99%
See 1 more Smart Citation
“…Theorem 1: Assume that the LMI (11) is feasible for (X,Y ), the digital control law is given by (9), and the gain matrix K is given by (12). Then, x converges exponentially to zero.…”
Section: Discrete-time Speed Controller Designmentioning
confidence: 99%
“…A PMSM features low noise, low inertia, high efficiency, robustness, and low maintenance cost. Many researchers have developed various PMSM controller design methods, e.g., adaptive control [1][2][3][4][5], nonlinear feedback linearization control [6], fuzzy control [7,8], disturbance-observer-based control [9,10]. Almost all the previous PMSM control design methods are based on the controller emulation approach.…”
Section: Introductionmentioning
confidence: 99%
“…Using the FOC system, the PMSM drive system can be reduced to the following first-order dynamic equation [6], [9]:…”
Section: A2mentioning
confidence: 99%
“…It should be noted that many previous FOC methods such as [6], [9] were developed by using the above first-order equation (2). Considering this fact, the focus of this paper will be on proposing a fuzzy adaptive speed controller that produces a q-axis command current i qsd for the speed dynamic model (2) under the assumptions A1-2.…”
Section: A2mentioning
confidence: 99%
“…Ohnishi 11 introduced this equivalent disturbance, which was refined by Umeno and Hori. 12 Lee and Tomizuka 13 and other researchers [14][15][16][17][18][19][20][21][22][23][24][25][26] demonstrated the effectiveness of the disturbance observer by performing experiments with various uncertainties and external disturbances, to improve performance in tracking or point-to-point control.…”
Section: Introductionmentioning
confidence: 99%