This paper presents the design of a UAV charging system with magnetically coupled resonant technology, as shown in
Figure 1. The transmitting coil uses double coaxial active coils, with the receiving coil and transmitting coils coupled by air. The vertical distance between the UAV and the charging pile is 10 cm. Both the double transmitting circuit and the single receiving circuit adopt the topology of inductance and capacitor in series. The whole system realizes power transmission through the full resonance of coil and capacitor.
In order to research the specific internal strategy of the new charging pile, two mathematical models, including the power model and mutual inductance model of the system, are established according to the actual charging situation of the UAV, and the theoretical analysis is carried out. The power model analyzes the relationship between the output power of the system and the input voltage of the two active coils; the transmission efficiency is found when the mutual inductance and output power are constant. The mutual inductance model analyzes the relationship between the mutual inductance of the system and the radial misalignment caused by the landing error when the UAV is charging, and provides a scheme to compensate for the system’s output power reduction that is simple and effective. A 570 V, 85,000 Hz system is built in MATLAB/Simulink, and the output power of the system is obtained. The transmission efficiency of the system can reach 82%. At the same time, it is confirmed that the double transmitting coils have a good compensation effect on the power reduction caused by the radial misalignment of the system; the correctness of the control strategy is also verified.
2.1. Model of System Mutual Inductance and Radial Misalignment Distance
In most of the experimental studies, the transmitting coil and receiving coil are placed in parallel, and their central axis position is the same. However, when the UAV actually stops, it cannot be guaranteed that it will stop in the axial direction of the transmitting coil. When the position of the coil deviates, the mutual inductance M will change. When the system frequency is fixed and the coil resistance is constant, the change in mutual inductance M is the most important factor affecting system performance. Therefore, when the receiving coil has radial misalignment, the mutual inductance between the receiving coil and the transmitting coil changes, which leads to a change in system power and efficiency.
Only the mutual inductance mode of the single transmitting and single receiving coils is considered, as shown in
Figure 2. The center of the transmitting coil is placed in the coordinate system (0, 0, 0), and the center of the receiving coil is placed in the coordinate system (0, t, h).
The parameter equations of the transmitting and receiving coils are listed as follows:
According to the Neumann formula, when the number of turns of the receiving coil is
and the number of turns of the transmitting coil is
, the mutual inductance formula between them is as follows:
Analysis of Equation (3) shows that the mutual inductance of the system decreases with the increase in radial misalignment, and the output power decreases with the decrease in mutual inductance. Therefore, it is necessary to compensate for the mutual inductance reduction caused by the radial misalignment of the single transmitter and single receiver system.
Considering double transmitting and single receiving coils, the two transmitting coils are coaxial with different radii. With the increase in radial misalignment, the mutual inductance between the two transmitting coils and the receiving coil changes according to Equation (3). However, for the receiving coil, the total mutual inductance is the sum of mutual inductance between the two transmitting coils and the receiving coil, which compensates for the reduction in mutual inductance; Maxwell simulation verifies this conclusion.
2.2. Model of Output Power and Input Voltage
We define the mutual inductance between coil 1 and coil 2 as
, and define
and
in the same way. When the UAV lands on the charging pile, the relative position between the receiving coil and the two transmitting coils is fixed, so the mutual inductance between the two coils is fixed, i.e.,
are constant. The output power of the system is only related to the input voltage of the active coil, as shown in
Figure 3. The detailed model analysis is as follows:
In order to simplify the model, the parameters of the circuit model are symmetrical, namely,
. The transmitter and receiver of the system will work at the same frequency, which is defined as:
where f is the fundamental frequency of the power supply.
By listing the voltage equation of each circuit, the following voltage and current (Equation (5)) can be obtained:
The input impedance of the system is solved. According to the defined system operating frequency, order
= 0, the following equation (Equation (6)) can be obtained:
in Equation (6), respectively, indicate the mutual inductance influence of loop 2 and loop 3 on loop 1:
Therefore, the input current
of active coil 1 can be expressed as:
Aligned, the input current
of active coil 2 can be expressed as:
Considering two active coils, the output current
of the receiver can be expressed as:
Among
. Therefore, the input power
and output power
of the system can be expressed as:
Therefore, the efficiency of the system
can be calculated as follows:
Thus, the value of is related to the two input voltages of the system and the mutual inductance between the two coils. Additionally, the observation Equations (13) and (14) show that when the output power and radial misalignment are fixed, there must be the maximum transmission efficiency.
The output power
is set as constant at 640 W. The goal is to maximize transmission efficiency. The optimal problem formulation is Equation (15):
Lagrange multiplier
is introduced and a Lagrangian function is constructed:
When the partial derivative of Equation (16) is found, they can be set to zero:
The corresponding and are obtained when the efficiency is maximum, as long as and are satisfied (Equation (17)).
The flowchart of the methodology mentioned is introduced in
Figure 4.