The accuracy of force measurement and prediction is of prime importance in the calibration of a force balance in aerodynamic models. Multi-point calibration has recently been introduced which has proven to be a more accurate prediction technique than the traditional single-point calibration technique. This paper describes the multi-point calibration of a double cone model using tri-axial and uniaxial accelerometers to obtain the maximum number of responses with accurate prediction using a minimum number of accelerometers. The multi-point calibration was performed by applying forces at nine locations on a double cone model considering two configurations. Firstly, accelerations were measured simultaneously using one tri-axial and two uniaxial accelerometers which were fixed at three locations of the model-balance assembly. Secondly, forces were measured from the responses obtained simultaneously using one uniaxial and one triaxial accelerometer fixed at two locations of the model-balance assembly. The prediction of the forces was performed using Adaptive Neuro Fuzzy Inference System (ANFIS). Genetic algorithm was used to obtain pure normal and pure axial forces from the components of applied forces at different calibration locations. The forces were predicted accurately from the responses measured using two accelerometers (one uniaxial and one triaxial accelerometer) as well as from the responses of three accelerometers (one tri-axial and two uniaxial accelerometers). Thus, tri-axial accelerometers can be used rather than using multiple numbers of uniaxial accelerometers. The use of tri-axial accelerometers leads to the ease of experimentation as mounting of multiple number of uniaxial accelerometers makes the calibration set-up complex and response measurement challenging. The attainment of responses in three directions at a single location is possible only using tri-axial accelerometer which helps in understanding the actual degrees of freedom experienced by the model. Thus, the use of tri-axial accelerometers for obtaining the responses in dynamic calibration is a better alternative than using uniaxial accelerometers.

力测量和预测的准确性在空气动力学模型中力平衡的校准中至关重要。最近引入了多点校准，事实证明该多点校准是比传统的单点校准技术更准确的预测技术。本文介绍了使用三轴和单轴加速度计对双锥模型进行多点校准，以使用最少数量的加速度计进行准确的预测，从而获得最大数量的响应。通过在考虑两种配置的双锥模型上的九个位置施加力来执行多点校准。首先，使用固定在模型平衡组件三个位置的一个三轴和两个单轴加速度计同时测量加速度。第二，使用固定在模型平衡组件两个位置的一个单轴和一个三轴加速度计，从同时获得的响应中测量力。使用自适应神经模糊推理系统（ANFIS）进行力的预测。使用遗传算法从不同校准位置处的施加力分量中获得纯法向力和纯轴向力。根据使用两个加速度计（一个单轴和一个三轴加速度计）测量的响应以及三个加速度计（一个三轴和两个单轴加速度计）的响应准确预测力。因此，可以使用三轴加速度计，而不是使用多个单轴加速度计。三轴加速度计的使用使实验变得容易，因为安装多个单轴加速度计使校准设置变得复杂，并且响应测量具有挑战性。只有使用三轴加速度计才能在单个位置获得三个方向的响应，这有助于理解模型所经历的实际自由度。因此，与使用单轴加速度计相比，使用三轴加速度计在动态校准中获得响应是更好的选择。只有使用三轴加速度计才能在单个位置获得三个方向的响应，这有助于理解模型所经历的实际自由度。因此，与使用单轴加速度计相比，使用三轴加速度计在动态校准中获得响应是更好的选择。只有使用三轴加速度计才能在单个位置获得三个方向的响应，这有助于理解模型所经历的实际自由度。因此，与使用单轴加速度计相比，使用三轴加速度计在动态校准中获得响应是更好的选择。