A Dynamic Performance Optimization Method for Wireless Energy Transfer Based on Model Predictive Control
A model predictive control and wireless energy transfer technology, applied in circuit devices, electrical components, etc., can solve the problems of low system dynamic performance efficiency, shorten system output voltage response time, etc., achieve efficiency optimization, avoid overshoot and power oscillation phenomenon , the effect of good dynamic performance
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Embodiment 1
[0074] A method for optimizing the dynamic performance of wireless energy transfer based on model predictive control, comprising the following steps:
[0075] a. Establish the dynamic mathematical model of the S-S compensation IPT system based on the active rectifier;
[0076] b. Establish a dynamic MPC scheme based on rolling optimization design and model prediction;
[0077] c. Design an efficiency optimization control scheme based on constant voltage output.
Embodiment 2
[0079] On the basis of Embodiment 1, the S-S compensation IPT system based on the active rectifier consists of two parts: the receiving end and the transmitting end, wherein the transmitting end includes an inverter connected to the DC power supply Udc in sequence, and the switching signals of the inverter Q1~ Q4. The compensation capacitor C1 at the transmitting end and the self-inductance L1 of the coil at the transmitting end, and the mutual inductance between the transmitting coil and the receiving coil is M; the receiving end includes the self-inductance L2 of the receiving end coil connected in series, the receiving end compensation capacitor C2, and the active rectifier bridge And its switch signal Q5~Q8, rectification filter capacitor Cf and DC load RL;
[0080] Set the working frequency of the system as fs, the angular frequency as ωs, based on the phase-shift control, the equivalent impedance of the AC side of the inverter is Req1, and the equivalent impedance of the ...
Embodiment 3
[0099] On the basis of Example 1, the MPC scheme is to predict the future application of the system based on the predictive model and possible control sets, and determine the optimal control operation in rolling optimization to minimize the deviation between the control target and the reference target; in the proposed control In the system, the MPC scheme is used to control the phase shift angle β of the rectifier, so that the output voltage Uo approaches the reference voltage Uset. The system output voltage based on the prediction model f is:
[0100]
[0101] Among them, m(i) is the control variable of the system, i is the number of current rolling optimization, and its relationship with the phase shift control angle is cos(β i (k+1))=cos(β(k))+m(i), according to formula (10), a nonlinear prediction model can be obtained:
[0102]
[0103] Then the objective function of rolling optimization is:
[0104] mi nJ(m(i),U o (k))
[0105]
[0106] Among them, a1 and a2 ...
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