Linearised modelling of switched reluctance motor for closed loop current control

Ahmad, Syed Shahjahan; Narayanan, G.

doi:10.1109/iicpe.2014.7145018

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…Therefore, upper and lower limits are set for the comparison values. Thus, the average voltage in each PWM cycle should satisfy Equation (17) or (18). The upper and lower limits should satisfy Equation (19).…”

Section: Predictive Current Control In Stage IIImentioning

confidence: 99%

“…In [16], phase winding was modeled by a resistance that varied with the rotor speed and the average reference current, and a pure integral controller was used for controlling the average current in a 120-electrical-degree-wide conducting region. In [17,18], the fixed PI gains most suitable for different operating points were selected based on a piecewise linear flux linkage model. In [19], fractional-order PI control was applied, and the PI parameters were optimized using ant colony optimization.…”

Section: Introductionmentioning

confidence: 99%

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Predictive Current Control for Switched Reluctance Motor Based on Local Linear Phase Voltage Model

et al. 2022

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In this paper, a predictive phase current control (PCC) scheme based on a local linear phase voltage model for a switched reluctance motor is proposed. The current is controlled by regulating the average voltage through PWM, ensuring a fixed switching frequency. A linear model is proposed to approximate the relationship between the voltage and the current slope in a short period. By using the voltage and current slope information in the previous control cycle, the intercept and slope of the model can be identified online. In the previous control cycle, the phase voltage changes from zero to positive or negative DC-link voltage, and then the identified model is used to predict the average voltage required in the next PWM cycle for the actual current so as to accurately track its reference. The effectiveness of the proposed PCC was verified experimentally. The results demonstrate that the proposed control scheme can significantly reduce the current and torque ripples compared to hysteresis control with the same sampling rate. The proposed PCC is easy to implement, does not need to obtain the motor characteristics in advance and is not sensitive to the changes in characteristic parameters caused by motor aging, etc. It is relatively suitable for applications that need to accurately track the given current curve.

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Section: Predictive Current Control In Stage IIImentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Predictive Current Control for Switched Reluctance Motor Based on Local Linear Phase Voltage Model

et al. 2022

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Speed Control of Switched Reluctance Motor Based on Regulation Region of Switching Angle

et al. 2022

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This paper studies the speed control strategy of a switched reluctance motor based on angle-position control (APC). The switched reluctance motor has three control parameters: turn-on angle, turn-off angle and voltage PWM duty cycle. This paper studies the function of the three parameters and designs the control algorithms of the parameters, respectively, which can reduce the coupling degree, simplify the control process, and realize the optimal control of the switched reluctance motor. By studying the nonlinear characteristics of the switched reluctance motor, the optimal current waveform in the effective working range of the inductor is obtained, and then a control strategy of the turn-on angle is designed to realize the ideal winding current waveform. According to the torque characteristics of the motor, taking the coincidence of the freewheeling zero point and the position angle at the end of the maximum inductance interval as the control target, a control strategy for the turn-off angle that makes full use of the effective inductance working interval is proposed, which improves the efficiency of the system. For the nonlinear and time-variant switched reluctance motor running process, a data-driven model-free adaptive control algorithm is introduced, and a switched reluctance motor speed control algorithm based on voltage PWM duty cycle is designed. The main contribution of this paper is to propose a control strategy that is generally applicable to switched reluctance motors, which does not depend on the precise mathematical model of the motor. The control algorithms are designed separately for the three control parameters according to the characteristics of the motor, which reduces the degree of coupling among them. A switched reluctance motor drive system based on angle-position control is designed. This strategy is especially suitable for driving the load with sudden large torque pulsation.

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Linearised modelling of switched reluctance motor for closed loop current control

Cited by 2 publications

References 13 publications

Predictive Current Control for Switched Reluctance Motor Based on Local Linear Phase Voltage Model

Predictive Current Control for Switched Reluctance Motor Based on Local Linear Phase Voltage Model

Speed Control of Switched Reluctance Motor Based on Regulation Region of Switching Angle

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