1993
DOI: 10.1080/07313569308909644
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Comparison of Speed Nonlinear Control Strategies for the Synchronous Servomotor

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Cited by 39 publications
(16 citation statements)
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“…The results are showing in Figure ( [3][4][5][6][7][8][9][10] represented the simulation, soresponse of speedand the test of the variation of the speed given in Figure 3, the observer gives us the possibility to estimate the speed but with a small delay in the response of the observer and undulation in the Figure 9, the norm of flux remnants to1 [Wb] Figure 4 in the company ofreduction in this value if the speed change in Figure 7 and the current greater than before Figure 10, the regulators of the speed and the flux gives us the choice to control their intensity separately after application the regulation of Hurwitz the simulation is given by MLI inverter.…”
Section: Simulationsmentioning
confidence: 99%
See 1 more Smart Citation
“…The results are showing in Figure ( [3][4][5][6][7][8][9][10] represented the simulation, soresponse of speedand the test of the variation of the speed given in Figure 3, the observer gives us the possibility to estimate the speed but with a small delay in the response of the observer and undulation in the Figure 9, the norm of flux remnants to1 [Wb] Figure 4 in the company ofreduction in this value if the speed change in Figure 7 and the current greater than before Figure 10, the regulators of the speed and the flux gives us the choice to control their intensity separately after application the regulation of Hurwitz the simulation is given by MLI inverter.…”
Section: Simulationsmentioning
confidence: 99%
“…The state equations in the stationary reference frame of an induction motor can be writing as [8][9]:…”
Section: Model Of the Induction Motormentioning
confidence: 99%
“…With the development of microprocessor technology, especially digital signal processors (DSPs), power electronics and modern control theories, more and more advanced control methods are introduced to the PMSM control problem, e.g., adaptive control [5][6][7][8], robust control [9], sliding mode control [10,11], inputoutput linearization control [3,12], backstepping control [13,14], fractional order control [15], neural network control [4], fuzzy control [16], and finite-time control [17], etc. These methods can improve the performance of the PMSM systems from different aspects.…”
Section: Introductionmentioning
confidence: 99%
“…Applications of these techniques have been investigated to the control of induction motors [2], switched reluctance motors [3], synchronous servomotors [4], and series and shunt DC motors [5][6][7][8]. In a separately excited DC motor (SEDCM) drive, an input-output linearizing controller for speed tracking was designed only in the armature voltage control range, moreover just considering a particular fan-type load torque with no uncertainty [9].…”
Section: Introductionmentioning
confidence: 99%