Conventional wireless charging systems cause output power fluctuations during the offset process, and a single topology can cause power reduction or a large impact on the wireless charging network as the coupling mutual inductance changes. For this reason, in this paper, by combining LCC-S and S-S topologies, the high output characteristics of the S-S topology network in the low coupling state and the high output characteristics of the LCC-S topology network in the protection and high coupling in the very low coupling, the power output in the offset state is greatly maintained by combining with the voltage regulation circuit. In this paper, firstly, the theoretical derivation of the working principle of the designed topology is carried out, then the mutual inductance variation range generated by the offset state of the coil is found through finite element simulation, and the accuracy of the theoretical derivation is verified by building a constant power output model of the self-switching system using matlab, and finally, an experimental platform for wireless power transmission is built, and the experimental results confirm that the system power can be maintained within a certain offset range. The output fluctuation is within 5%, which verifies the feasibility and realism of the design.

The multi-degree-of-freedom spherical motion device usually requires a built-in data acquisition and processing module and a wireless charging part in its bionic design, while the traditional disc-shaped receiving coil increases with the deflection angle, the system coupling coefficient and mutual inductance will decrease causing the increased power transmission fluctuation and greatly decreased transmission power. In this paper, a tile-shaped receiving coil is designed to ensure the power output when the rotation offset occurs. Then, the formula of radio energy transmission characteristics is derived and verified by finite element simulation. It is proved that the coupling coefficient peak value of the new structure is increased by 12.68% and the variation fluctuation is reduced by 2.26%. The output of the new system at each deflection angle has been improved overall. Finally, an experimental platform is built to verify the accuracy of the simulation analysis and the effectiveness of power transmission.

For the problem of fluctuation of transmission power and load voltage between magnetically coupled mechanisms in the dynamic wireless power transfer (DWPT) system of the electric vehicles (EV), a magnetically coupled mechanism with dual receiving coils (R-C) of electric energy on the receiving side is proposed in this paper. The transmitting coils (T-C) are connected in parallel in a multi-stage manner flat on the road, and when the EV drives above a section of T-C, this T-C is energized to charge the EV. In the paper, the theoretical model of the circuit and the theoretical model of the magnetic circuit of the dual R-C magnetic coupling mechanism are first established. The feasibility of this structure is verified through the derivation and calculation of the working principle of the system. Finally, the simulation and experimental results verify the effectiveness of the coupling mechanism. The experimental results further demonstrate that the magnetically coupled structure with dual R-C can effectively reduce the power fluctuation during the T-C switching and reduce the laying of T-C to reduce the cost.

Laser detection technology has manypromising applications in the field of motor speed and position measurement. Accurate and fast measurement of position information of spherical rotor is very important for motor control. In this paper, we propose a method for non-contact measurement of the angular velocity of a multi-DOF spherical motor using the Doppler effect of the laser, and further obtain the position information of the motor rotor. The horizontal laser beam from the laser generator is divided into a reference beam I and a measurement beam II through a beam splitter, and the measurement beam II reflects and undergoes Doppler effect after irradiating the rotating motor. The two beams pass through the photoelectric conversion module to obtain the corresponding frequency difference signals to derive the angular velocity and position information of the motor rotor. The correctness of the method is verified experimentally. The results show that the coordinate error of Z and Y axes is less than 2 mm, thatthe error of Z-axes is less than 0.2 mm, and that the method can better measure the spherical rotor position information of the motor.

To improve the tracking capability and sensorless estimation accuracy of a permanent magnet linear synchronous motor (PMLSM) control system, a sensorless control system based on a continuous terminal sliding mode controller (CT-SMC) and fuzzy super-twisted sliding mode observer (F-ST-SMO) was designed. Compared with a conventional slide mode control, CT-SMC can reach the equilibrium point in limited time to ensure the continuity of control and achieve fast tracking of reference speed. Based on the PMLSM design of F-ST-SMO, a super-twisted sliding mode algorithm is used to replace the traditional first order sliding mode algorithm. Meanwhile, fuzzy rules are introduced to adjust the sliding mode gain adaptively, which replaces the fixed gain of traditional SMO and reduces chattering of the system. Finally, the effectiveness and superiority of the designed control system are proven by simulation and experiment.

Aiming at the problem of poor tracking performance and chattering in track processing of biaxial permanent magnet linear synchronous motor (PMLSM), a cross-coupling control system based on model prediction was designed. First, according to the motion equation of PMLSM, an integrated controller is designed to predict the speed and current. In order to solve the problem that PMLSM is highly dependent on speed sensor, the actual motor model is designed, the adjustable model is designed by estimating the current model, and the model reference adaptive observer is designed. Second, cross-coupling control algorithm was added to the single axis control system of two PMLSM to improve the contour control accuracy and matching degree of the two motors. Finally, the experimental verification is carried out on the two-dimensional XY -axis experimental platform. Experimental results show that this method not only simplifies the structure of the control system, but also has better control effect than the traditional biaxial control structure.

In order to improve the dynamic performance and position tracking accuracy of permanent magnet synchronous linear motor (PMSLM) control system, a variable gain cross-coupling control system of PMSM based on model prediction algorithm was proposed. Firstly, the motion equation of permanent magnet synchronous linear motor is discretized to design the model to predict the integrated controller of velocity and current. In order to improve the contour precision of biaxial PMSM system, a variable gain cross-coupling control algorithm was introduced to enhance the matching degree of biaxial PMSM system. The model prediction velocity and current integrated controller and the variable gain cross-coupling controller were added into the dual-axis PMSM in the Matlab/Simulink simulation software to verify the stability and accuracy of the proposed control algorithm in the dual-axis system. It is verified that the proposed control strategy can accurately track the given position, maintain the stability of the speed, and make the system have a small contour error.