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| Content Provider | IET Digital Library |
|---|---|
| Author | Su, Yu Gang Zhou, Wei Wang, Zhi Hui Wu, Xue Ying Qing, Xiao Dong |
| Abstract | For most capacitive power transfer applications, a reliable signal transfer link between the primary side and the secondary side plays an essential role. The parameters design of the system has a key effect on the operating performance, however, the existing parameter design method can only get an acceptable solution, instead of a globally optimal solution. This study has proposed a general and global optimal parameter design method based on the constraint multi-objective algorithm. The mathematical models of the power and signal channels as long as the power noise is established and all the objective functions are given according to the models. Besides, the constraints considering the reasonable region of the parameter values and the limitation of the voltage and current on the elements are given. Then the multi-objective optimisation problem with the objective functions and constraints are solved by the non-dominated sorting genetic algorithm II, and the proper global optimal parameters are selected from the Pareto set. Finally, a simulation model and an experimental setup with 180 W power and 200 kbps signal transfer capability are constructed, and the results verified the effectiveness and correctness of this method. |
| Starting Page | 2650 |
| Ending Page | 2659 |
| Page Count | 10 |
| ISSN | 17554535 |
| Volume Number | 12 |
| e-ISSN | 17554543 |
| Issue Number | Issue 10, Aug (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-pel/12/10 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-pel.2018.5731 |
| Journal | IET Power Electronics |
| Publisher Date | 2018-11-06 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | Bit Rate 200 Kbit/s Capacitive Power Transfer Application Combinatorial Mathematics Constraint Multiobjective Algorithm General Parameter Design Method Genetic Algorithm Global Optimal Parameter Global Optimal Parameter Design Method Globally Optimal Solution Inductive Power Transmission Mathematical Model Multiobjective Optimisation Algorithm Multiobjective Optimisation Problem Nondominated Sorting Genetic Algorithm II Objective Function Optimisation Technique Parameter Value Pareto Optimisation Pareto Set Power 180.0 W Power Noise Reliable Signal Transfer Link Signal Channel Signal Transfer Capability Signal Transfer System Sorting |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering |
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