Journal of South China University of Technology (Natural Science Edition) ›› 2016, Vol. 44 ›› Issue (11): 78-83.doi: 10.3969/j.issn.1000-565X.2016.11.012

• Mechanical Engineering • Previous Articles     Next Articles

Optimal Design of Wireless Power Transmission System for Micro Robotic Capsules

LI Min1 LIU Dan1 LIU Xiu-quan2   

  1. 1.School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China; 2.School of Mechanical and Electrical Engineering,Guangzhou Panyu Polytechnic,Guangzhou 511483,Guangdong,China
  • Received:2016-03-18 Revised:2016-05-23 Online:2016-11-25 Published:2016-10-04
  • Contact: 李旻( 1974-) ，男，博士，副教授，主要从事机器人与微机械技术研究． E-mail:limin@scut.edu.cn
  • About author:李旻( 1974-) ，男，博士，副教授，主要从事机器人与微机械技术研究．
  • Supported by:
    Supported by the National Major Science and Technology Project ( 2015ZX04005006)

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Abstract:

The performance of wireless power transmission system for micro robotic capsules is affected by many factors,such as resonance frequency,coupling co-efficient,coil turns,coil radius,compensation capacitor and mutual inductance.In order to achieve a global optimum of the system performance,the system transmission efficiency should be improved and the minimum power requirement of micro robotic capsules should be met.Meanwhile,the system stability,the safety of temperature rise,the reliability and the volume should also be considered.In this paper,an energy efficiency model is constructed for the wireless power transmission system with series compensation on both primary side and secondary side.Then,with the coil turns and coil radius of the two sides and the resonance frequency as the variables,an objective function of the optimization problem is established to perform the optimal design of the wireless power transmission system.Finally,an improved genetic algorithm is utilized to solve the multi-variable and nonlinear constrained optimization problem.Experimental results indicate that the proposed optimization method is correct and effective,and a prototype of the wireless power transmission system designed for micro robotic capsules achieves an energy efficiency of 86.6mW with an efficiency of 8.01%.

Key words: micro-robot, wireless power transmission, genetic algorithm, energy efficiency model

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