Optimization of Decoupling Technology for Hub-And-Spoke Multi-component Sensors

Inter-dimensional coupling is a key factor affecting the accuracy of multi-component force sensors. In order to further enrich the decoupling algorithm theory of the spoke-type force sensor, develop a high-precision force sensor, and optimize the decoupling technology of the spoke-type multi-component sensor. From the perspective of engineering technology, the most widely used optimization algorithm is the least squares linear fitting decoupling algorithm. The traditional nonlinear decoupling algorithm has disadvantages such as low precision. This paper proposes a matrix decoupling solution based on genetic algorithm. Implementation form. In order to verify the performance of the algorithm, this paper takes the hub-and-spoke multi-component sensor as the experimental object, and applies the improved algorithm to the nonlinear decoupling of the sensor. The decoupling experiment shows that the decoupling accuracy of the matrix decoupling solution based on the genetic algorithm is higher. The convergence time is shorter and it has stronger adaptability to nonlinear decoupling. It can provide some references for the design of the decoupling algorithm of the hub-and-spoke sensor, and it will be applied to the decoupling of multi-dimensional force information in multiple occasions.