进化算法与基于同伦理论算法在多维触觉阵列传感器解耦应用中的对比

为获取大规模多维柔性触觉阵列传感器触觉信息,比较进化算法与基于同伦理论的算法在传感器解耦中的应用.仿真结果表明对一定规模的阵列传感器来说,进化算法解耦效果优于其它人工智能算法,但对大规模阵列传感器则无法满足实时性和准确性.通过引入时间参数,基于同伦理论的解耦算法将传统的传感器静态解耦转换成动态解耦过程.算法不仅适用于大规模阵列触觉传感器的信息解耦,而且解决高维、多参数传感器信息精确、实时解耦的难题.

Comparison of Application between Evolutionary Algorithm and Algorithm Based on Homotopy Theory for Multidimensional Tactile Array Sensor Decoupling

To access the tactile information of the large-scale flexible tactile array sensor,the applications of evolutionary algorithm and algorithm based on homotopy theory for sensor decoupling are compared. The decoupling results show that the performance of evolutionary algorithm is much better than other artificial intelligence algorithms for the sensor array of a certain size,but it fails in the real time capability and the accuracy for the sensor array with a large scale size. The algorithm based on the homotopy theory changesthe traditional static decoupling into the dynamic decoupling by introducing a time parameter into the decoupling processing of sensor. It can not merely be used for information decoupling of a large scale flexible tactile array sensor,moreover,it is applied to the real-time and accurate decoupling for the information acquisition problem of high-dimensional and multi parameter sensor.