A robust hysteresis current-controlled PWM inverter for linear PMSM driven magnetic suspended positioning system

Kang, B.J.; Liaw, C.M.

doi:10.1109/41.954560

Cited by 50 publications

(7 citation statements)

References 13 publications

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“…Let γ = 0.86, m = 0.4 and n = 0.5; the following controller gains are obtained from the LMI conditions listed in Equations (19) to 21:…”

Section: Stability Analysismentioning

confidence: 99%

“…If the d-axis current is controlled at zero, then the electromagnetic torque of a PMSG is proportional to the q-axis current. This characteristic enhances the importance of current controls [15][16][17][18][19][20] for the PMSG. Since the power generating performance of a PMSG is affected by its winding current, the torque ripple can be eliminated by reducing winding current harmonics [16].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the generating capability of a PMSG can be improved via adopting proper and good current control algorithms. The traditionally implemented current control schemes include fixed-frequency control [17,18], hysteresis control [19] and predictive control [20]. The state space equation of a PMSG is nonlinear.…”

Section: Introductionmentioning

confidence: 99%

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Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems

Chang

Tsai

2019

Energies

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The current control of the permanent-magnet synchronous generator (PMSG) using an interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy systems is designed and implemented. PMSG is an energy conversion unit widely used in wind energy generation systems and energy storage systems. Its performance is determined by the current control approach. IT2 T-S fuzzy systems are implemented to deal with the nonlinearity of a PMSG system in this paper. First, the IT2 T-S fuzzy model of a PMSG is obtained. Second, the IT2 T-S fuzzy controller is designed based on the concept of parallel distributed compensation (PDC). Next, the stability analysis can be conducted through the Lyapunov theorem. Accordingly, the stability conditions of the closed-loop system are expressed in Linear Matrix Inequality (LMI) form. The AC power from a PMSG is converted to DC power via a three-phase six-switch full bridge converter. The six-switch full bridge converter is controlled by the proposed IT2 T-S fuzzy controller. The analog-to-digital (ADC) conversion, rotor position calculation and duty ratio determination are digitally accomplished by the microcontroller. Finally, simulation and experimental results verify the performance of the proposed current control.

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“…Let γ = 0.86, m = 0.4 and n = 0.5; the following controller gains are obtained from the LMI conditions listed in Equations (19) to 21:…”

Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems

Chang

Tsai

2019

Energies

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“…The principle this method [20][21][22][23] is based on determination the switching angles of switches so that the variation of current in each phase follows a sinusoidal current reference with a range of error i where the current slide into a sliding surface.…”

Section: The Hysteresis Current Controlmentioning

confidence: 99%

Comparative Study between Different Modulation Strategies for Five Levels NPC Topology Inverter

Cherchali¹,

Tlemçani²,

Boucherit³

et al. 2011

EPE

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The object of this paper is the study of various modulation strategies applied to the five-level inverter neutral-point-clamped NPC topology. Firstly we presented the structure of the voltage inverter three-phase five-level NPC topology. After that we model the inverter and the inverter are controlled by different strategies and then we made a comparative study between the results given by different strategies

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“…Therefore, a sufficient and good current control method can improve the generating capability of a PMSG. The common current control approaches implemented in the literature include: Fixed-frequency ramp-comparison pulse-width modulation [20,21], hysteresis control [22], and predictive control [23]. The dynamic performance of the fix-frequency control is extremely affected by the controller parameters, and the controller parameters should be tuned under various operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of the Permanent- Magnet Synchronous Generator Drive in Wind Generation Systems

Chang

Huang

2018

Energies

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The design and implementation of the permanent-magnet synchronous generator drive in wind generation systems is presented in this paper. The permanent-magnet synchronous generator (PMSG) can converse the alternating current (AC) power of the wind turbine to direct current (DC) power. In this paper, the dynamic model of a PMSG is first introduced. The current controller is designed based on T-S fuzzy models of the PMSG. The stability of the proposed PMSG drive system is analyzed and proved. The proposed T-S fuzzy current control possesses a disturbance suppression ability. Compared with the traditional fuzzy logic system, its stability can be proved and verified. Finally, the control performance of the PMSG drive is verified by experimental results.

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A robust hysteresis current-controlled PWM inverter for linear PMSM driven magnetic suspended positioning system

Cited by 50 publications

References 13 publications

Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems

Current Control of the Permanent-Magnet Synchronous Generator Using Interval Type-2 T-S Fuzzy Systems

Comparative Study between Different Modulation Strategies for Five Levels NPC Topology Inverter

Design and Implementation of the Permanent- Magnet Synchronous Generator Drive in Wind Generation Systems

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