Mass Characteristics Identification and Intelligent Automatic Balancing Technology of Three-Axis Air-Bearing Testbed

Abstract

AbstractMass characteristic identification and balancing of the centre of mass are the core key technologies of the full physical trial based on the three-axis air-bearing testbed. According to the above point of view, this paper proposes a mass characteristics identification method and an intelligent automatic balancing technology of a large three-axis air-bearing testbed. First, we establish the identification model of the three-axis air-bearing testbed based on the Euler angle. Next, an online identification algorithm of mass characteristics of the three-axis air-bearing testbed is investigated based on the asymptotic least squares method. Utilizing the mass characteristics obtained by the online identification algorithm, an intelligent automatic balancing algorithm for the three-axis air-bearing testbed is proposed. Finally, a physical trial is carried out to illustrate the benefits and effectiveness of the online identification algorithm and the intelligent automatic balancing algorithm. The physical trial results show that the intelligent automatic balancing algorithm proposed in this paper can be applied to most three-axis air-bearing testbed systems and the accuracy of the identification algorithm is better than 3.8%, which has high stability and application value.KeywordsThree-axis air-bearing testbedMass characteristicsAsymptotic least squaresOnline identification algorithmIntelligent automatic balancing algorithmPhysical trial