Application Of Adaptive Fuzzy Control In Contactless Inductive Power Transfer System

Contactless inductive power transfer (CIPT) is a technique for transferring power with noelectrical contact between the source side and the load side. Contactless inductive powertransfer holds many advantages, such as safe, convenient, easily maintained and highlyreliable. It can be used to avoid the hidden dangers like mechanical wear, electric shock,sparks and noise, which are caused by the traditional power transmission. Correspondingapplication in the field of portable electronic equipment transportation, industrial production,biomedical, and become a research hotpot. However, CIPT is required to be improved andoptimized due to the nature of mutual inductance making many problems still exist in thestudy of power transmission need to be improved. The main results of the paper aresummarized as follows:1. During the operation of Contactless Inductive Power Transmission Systems (CIPT),the changes of the magnetic inductors’ distances and the loads will directly result inthe unstable output voltages. It’s difficult to establish accurate mathematical modelsfor the CIPT systems which hardly have the energy transmission formulas, because oftheir nonlinearity, time-varying property and uncertainty. However, the traditionalPID control has a heavy dependence on the mathematical models and parameters. Inthis paper, we put forward a control pulse duty modulation strategy based on fuzzycontrol algorithm in order to guarantee a constant output voltage.2. A simple fuzzy control adopts the same rules in each stage of system operation,resulting in systems often have large overshoot problem. Must be repeated debugging in the normal operation of the system, according to different stages of setting controlrule is the doctrine of the mean to adapt to a variety of system operation possible.This is not only cumbersome, and often less than satisfactory control effect.Introduction of model reference adaptive control theory, establishes a desired outputvoltage model, and through the curve fitting method to get the ideal model outputvoltage approximate curve, through the fuzzy algorithm, ensures that the outputvoltage can be well real-time tracking of the ideal reference model output curve, theultimate guarantee of system into a stable state, the output voltage constant in an idealvalue, and maintain constant. Fuzzy rules make the system with high sensitivity at thesame time, but also have high robustness. According to the operation of the systemparameters change rate, to automatically determine the adjustment time and adjust thevolume size, improves the system observability and controllability.3. MATLAB simulations and DSP-based experiments have proved that this method caneffectively maintain the constant output voltage. And it’s responsive and reliable.