背靠背三電平PWM變換器矢量控制系統(tǒng)研究
[Abstract]:In this paper, the vector control system of back-to-back three-level pulse width modulation (PWM) converter driven by AC asynchronous motor is studied.
Based on the analysis and comparison of three commonly used fast SVPWM algorithms, a general algorithm for arbitrary multilevel SVPWM is proposed, which is easy to realize digitally with less computation. The proposed algorithm is designed and implemented on Field Programmable Gate Array (FPGA).
A novel neutral-point potential balance control algorithm for single-side diode neutral-point-clamped three-level PWM converter based on hybrid SVPWM is proposed. According to the different small vector action in each sector, different small vector action time adjustment factors are set according to the capacitor voltage deviation and the polarity of three-phase current. The variation of the current makes the modulation switch between the conventional SVPWM and the SVPWM based on the virtual vector to realize the fine sector control of the midpoint potential.
Aiming at the problem of neutral-point voltage balance control of capacitor in back-to-back diode neutral-point clamped three-level PWM converter, an integrated predictive control algorithm for neutral-point potential balance based on bilateral signals is proposed. The quality function of the voltage expectation control index is minimized by recursive operation, and the redundant vector time allocation factor of the best midpoint voltage control in the next modulation period is obtained.
Based on the existing DPC of three-level PWM rectifier, a DPC algorithm of three-level PWM rectifier with dual non-zero voltage vector output in one switching cycle is proposed. By predicting the active and reactive power at the next moment, the DPC algorithm selects two voltage vectors with opposite active and reactive power regulation at each time and passes through. A distribution factor is used to distribute the action time of the two voltage vectors, thus realizing fine power adjustment.
Based on the recursive least squares method, the static identification of motor parameters of three-level inverter is modeled and simulated. The simulation results of static identification of motor parameters under unbalanced and balanced neutral-point potentials are given. A dynamic on-line identification method of motor parameters of AC asynchronous motor is proposed. The motor speed is controlled by constant load. By keeping the rotor flux coupling constant, the influence of rotor flux coupling term on on-line parameter identification can be eliminated, and the motor parameters can be calculated on-line using the recursive least squares method to meet the real-time and high accuracy requirements of on-line parameter identification. The constant control of the torque current is achieved.
A three-level stochastic SVPWM method is proposed, in which the switching frequency and sampling frequency can be kept constant and the random effect does not depend on zero vectors. The stochastic SVPWM is realized by randomly adjusting the time allocation between the rising and falling phases of each triangular carrier. A triple randomized M sequence is designed to enhance the randomness of the system. This method can make the output line voltage and phase current spectrum distribute uniformly in a wide frequency band and greatly reduce the harmonic amplitude at integer multiple switching frequency.
【學(xué)位授予單位】:中南大學(xué)
【學(xué)位級(jí)別】:博士
【學(xué)位授予年份】:2014
【分類號(hào)】:TM46
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
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