The Charging strategy Based on T-S Fuzzy Inference and ADRC for Towed Multi-Sensor Array Chain

Abstract

The power supply of underwater sensor array in towed sensor array system is a non-contact power transmission technology based on electromagnetic induction principle. In this paper, propose a design method of inverter system to convert high-voltage direct current into high-frequency alternating current as the input of electromagnetic coupler. The electric energy is coupled to the secondary coil of the underwater magnetic ring based on the electromagnetic induction principle. The electric energy is stored in the battery for sensor through rectifier filter circuit and isolated DC to step-down chargeing voltage. The power consumption of each module in the sensor array is different, so that charging states of the system change dynamically. In order to realize the rapid charging of lithium battery in the sensor module under different charging states, it is necessary to adjust the output power of the inverter to follow the underwater power demand. However, due to the constant output voltage of the power supply system on deck unit, the large number of sensor array and existence of seawater loop in the transmission channel lead to the delay of data feedback, so that it is difficult to obtain the residual power and charging current of each battery in real-time. Therefore,it is difficult to apply the conventional constant voltage-constant current charging strategy directly which based on the parameters of battery to control the inverter output. In view of the above problems, this paper uses the T-S fuzzy model to predict the number of batteries in the current charging state and calculate the expected output current. Then, adjust the supply power of inverter with the expected charging current through the active disturbance rejection controller, so as to realize the rapid charging of lithium batteries in the sensor array in the safe range under different charging states of the system and improve the utilization rate of electric energy. Finally, used Simulink to verify the effectiveness of this charging strategy.