Adaptive fuzzy control for field-oriented induction motor drives

Rigatos, Gerasimos

doi:10.1007/s00521-011-0645-z

Cited by 19 publications

(7 citation statements)

References 26 publications

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“…Consequently, the controller of the PMLSM servo system should be robust enough to tolerate these uncertainties. In order to suppress the uncertainties and achieve high-quality servo performance, researchers have focused on this area and have employed extensive studies for motor control such as the backstepping control in [7]- [9], neural network control in [10]- [12], and fuzzy control in [13], [14].…”

Section: Introductionmentioning

confidence: 99%

Approach Angle-Based Saturation Function of Modified Complementary Sliding Mode Control for PMLSM

Huang

Zhao

2019

IEEE Access

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In this paper, an approach angle-based saturation function of modified complementary sliding mode control (MCMSC) method was proposed to overcome the influence of uncertainties such as parameter variations and external disturbances on permanent magnet linear synchronous motor (PMLSM) servo system. On the foundation of the mathematical model considering uncertainties of PMLSM and the theory of sliding mode control (SMC), complementary sliding mode control (CSMC) method was designed by combining the integral sliding surface with the complementary sliding surface. By using the continuous saturation function, CSMC can efficiently eliminate the system chattering phenomenon caused by the discontinuous function in SMC and further improve the position tracking accuracy. However, the saturation function makes the boundary layer in CSMC constant, so the asymptotic stability of the system cannot be guaranteed. Hence, an approach angle-based saturation function of MCSMC was designed to realize the dynamic change of the boundary layer, which can diminish the boundary layer with the change of state trajectory until it converges to the sliding surface, thereby further improving the robustness of the system. Additionally, the hybrid SMC methods, such as fuzzy-SMC and neural network-SMC (NN-SMC), are avoided. A precise test platform based on digital signal processor (DSP) was implemented, and experimental results are shown to demonstrate the effectiveness and correctness of the proposed method.INDEX TERMS Permanent magnet linear synchronous motor (PMLSM), uncertainties, complementary sliding mode control (CSMC), saturation function, approach angle.

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Section: Introductionmentioning

confidence: 99%

Approach Angle-Based Saturation Function of Modified Complementary Sliding Mode Control for PMLSM

Huang

Zhao

2019

IEEE Access

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“…magnetic flux) [9]. With the field-oriented method, the dynamic behavior of the induction motor is rather similar to that of a separately excited DC motor [10,11]. A decoupled relationship is obtained by means of a proper selection of state coordinates and thus, the rotor speed is asympotically decoupled from the rotor flux, while the speed can be controlled only by varying the stator's currents [12,13].…”

Section: Introductionmentioning

confidence: 99%

Nonlinear H-infinity Feedback Control for Asynchronous Motors of Electric Trains

et al. 2015

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A new method for feedback control of asynchronous\ud electrical machines is introduced, with application\ud example the problem of the traction system of electric trains.\ud The control method consists of a repetitive solution of an\ud H-infinity control problem for the asynchronous motor, that\ud makes use of a locally linearized model of the motor and\ud takes place at each iteration of the control algorithm. The\ud asynchronous motor’s model is locally linearized round its\ud current operating point through the computation of the associated\ud Jacobian matrices. Using the linearized model of the\ud electrical machine an H-infinity feedback control lawis computed.\ud The known robustness features of H-infinity control\ud enable to compensate for the errors of the approximative\ud linearization, as well as to eliminate the effects of external\ud perturbations. The efficiency of the proposed control scheme\ud is shown analytically and is confirmed through simulation\ud experiments

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“…It is estimated that water utilities consume from 2-10% of all power use in any country, and power can consume up to 65% of a water utility's operating budget (PELLI;HITZ, 2000). In Brazil, the water and wastewater sector consumes approximately 2.5% of the total consumption of electricity, equivalent to more than 10 billion kW·h/year, of which about 90% of this energy is consumed by motor-pump sets.…”

Section: -Introductionmentioning

confidence: 99%