Haptic Interface Controller Design using Intelligent Techniques

  • Naveen Kumar Electrical Engineering Department, National Institute of Technology Kurukshetra, Kurukshetra, India.
  • Jyoti Ohri Electrical Engineering Department, National Institute of Technology Kurukshetra, Kurukshetra, India.
Keywords: Genetic Algorithm, Neural Network, Fuzzy Logic Control, Haptic Interface Controller, Stability, Transparency

Abstract

Haptic technology has enormous applications in several fields from medical, military, and in our day-to-day life’s products including video games, smartphones, and smart cities. The Haptic Interface Controller (HIC), a key circuitry for interaction between the user and the virtual world, has two main control issues: stability and transparency. These two issues are complementary to each other i.e. emphasis on one will degrade the other and vice-versa. To address this, intelligent control techniques including Genetic Algorithm (GA), Feed-Forward Neural Network (FFNN), and Fuzzy Logic Control (FLC) have been used in design of the HIC. To ensure the performance in real-time, in system parametric uncertainty and delay have been added while designing the HIC so that a balance could be maintained between the two issues.

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Published
2020-12-01
How to Cite
Kumar, N., & Ohri, J. (2020). Haptic Interface Controller Design using Intelligent Techniques. Majlesi Journal of Electrical Engineering, 14(4), 67-74. https://doi.org/https://doi.org/10.29252/mjee.14.4.67
Section
Articles