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Design Of A Wireless Charging System Control Strategy With Adaptive Genetic Tuning PID Control

Posted on:2022-08-11Degree:MasterType:Thesis
Country:ChinaCandidate:H DingFull Text:PDF
GTID:2492306740993519Subject:IC Engineering
Abstract/Summary:PDF Full Text Request
In the current society where the demand for charging is increasing,wireless power transmission technology,as a new type of energy transmission method,is different from the conventional wired transmission mode,avoiding the limitations of interfaces and connecting lines,and has been increasingly used.It is mostly used in various types of equipment.With the deepening of research,the advanced control strategy design of the wireless charging system can be used to improve the control performance of the overall wireless charging system to meet actual needs.A design of a wireless charging system control strategy based on adaptive genetic tuning PID(AGT-PID)control algorithm is presented.The control algorithm uses more hardware resource occupancy rate to obtain excellent steady state performance of the converter.First,the overall structure and basic principles of the wireless charging system are studied,and the transfer function of the wireless charging system is determined.Then the continuous domain is transformed to the discrete domain,and the wireless charging system is controlled by the PID controller.Then the frequency domain method is used to set the parameters of the PID controller.Secondly,the three parameters of the PID are selected for encoding.The objective function adapted to the system is established.Appropriate genetic operators are designed.The dynamic response of the system is improved by adjusting PID parameters through genetic iteration.Then the adaptive adjustment module is introduced to optimize the genetic iteration process.The appropriate fitness function is adjusted in real time,through the adaptive adjustment of the weight of the objective function,to complete the adaptive tuning of PID parameters.Thereby the control accuracy and stability of the controller are improved.In addition,the number of iterations of the overall optimization is maintained to ensure the adaptive genetic tuning PID and genetic PID algorithm control Equivalence of dynamic performance.The digital control wireless charging system verification platform based on FPGA is built and tested under different control algorithms.The adaptive genetic tuning PID control strategy occupies the largest amount of logic resources in FPGA after digital realization.During the startup process,the wireless charging system setup time based on adaptive genetic tuning PID and genetic PID algorithm are 1.09 ms and 996 us respectively,which are approximately equal,while the wireless charging system setup time based on conventional PID algorithm is 1.34 ms.When the adjustment is completed and transmitting is in a steady state,the transmitter based on the genetic PID and the conventional PID algorithm also has approximately equal overshoot,which is worse than that of the transmitter using the adaptive genetic tuning PID algorithm.During steady-state transmission,the wireless charging system output voltage and current overshoot based on the adaptive genetic tuning PID algorithm are both less than 4%,and the output power steady-state error is less than 1%,which meets the wireless charging system’s design specifications and steady-state performance requirements.
Keywords/Search Tags:wireless charging system, stability, Qi protocol, adaptive genetic, PID
PDF Full Text Request
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