異步電機低開關(guān)頻率的模型預(yù)測高性能控制研究
[Abstract]:Reducing the switching frequency of inverter switching devices can increase the output power, but will increase the harmonic distortion. High-performance control of large-capacity inverter with low switching frequency involves the adoption of suitable motor control strategy, which can achieve less harmonic distortion at low switching frequency, and at the same time, it can make the system have fast response capability and is AC. A difficult problem in high performance control of medium voltage and high power drives for induction motors. This paper compares the high performance control schemes of induction motors under low switching frequency (200~300 Hz) with the background and support of the National Natural Science Foundation (51377102) and the Delta Environment and Education Foundation (DREG2013009) projects. Comprehensive and in-depth research, the main work includes:
Model predictive control (MPDTC) is introduced into the field of inverter-driven motor control. A one-step model predictive direct torque control (MPDTC) method is proposed, in which the sum of the squares of flux and torque deviations is taken as the value function, and the larger deviations are given priority punishment, thus reducing the flux linkage and torque ripple. The simulation results show that the MPDTC method is effective and the single-step predictive control is difficult to balance multiple control objectives.
On the basis of single-step MPTDC and NPC three-level inverter-driven asynchronous motor system as the control object, a novel low-switching-frequency MPDTC method is proposed by introducing state output trajectory extrapolation to form a long prediction range. The control problem is described as a finite state set roll with constraints by taking the average switching-frequency as the value function. Dynamic-time domain optimization problem. In view of the infeasibility of the optimization solution, the strategy of updating the optimization criterion value function is adopted. This method can make the system run at low switching frequency of about 300 Hz to obtain fast dynamic response and better current harmonic distortion. It has been evaluated and verified.
A low switching frequency model predictive direct current control (MPDCC) method is proposed to minimize the switching frequency of the inverter and keep the current trajectory within a given hysteresis range. This method can reduce the switching frequency of the NPC three-level inverter to less than 300 Hz, and obtain an ideal current. Harmonic distortion and dynamic and static performance are compared with the existing single-step predictive current control.
Because the harmonic performance of the proposed MPDTC and MPDCC methods with low switching frequency is not as good as that of the optimized PWM, the optimized PWM can not be directly applied to the high performance closed-loop control system. An optimized PWM closed-loop scheme based on the stator flux tracking control (FTTC) of the automatic control motor is studied in detail in this paper. The simulation results show that the proposed method can not only achieve small harmonic distortion at low switching frequencies of 200 Hz to 300 Hz, but also has fast response ability. Compared with the proposed low switching frequency MPDTC and MPDCCC methods, its current harmonic performance is better.
A new closed-loop control scheme of optimal PWM based on model predictive flux trajectory tracking is studied. The closed-loop control of optimal PWM is realized without estimating fundamental component. The control problem is constructed as a quadratic objective function type optimization problem with boundary constraints, and the deadbeat (DB) and quadratic programming (QP) are designed. The simulation results based on the new closed-loop system show that the QP method can modify the optimized PWM and eliminate the flux deviation as little as possible, and the current harmonic performance is slightly better than that of DB method. The total harmonic distortion is maintained within 5%.
【學(xué)位授予單位】:上海大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2014
【分類號】:TM343
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