scholarly journals Neural adaptive control for a ground experiment of the space proximity operation in a six-degree-of-freedom micro-gravity simulation system

2020 ◽  
Vol 33 (9) ◽  
pp. 2420-2433
Author(s):  
Chong SUN ◽  
Jianping YUAN ◽  
Zhanxia ZHU
Author(s):  
Hanlei Wang

In this paper, we investigate the recursive implementation of composite adaptive control for robot manipulators. Via exploitation of the relation between the inertia matrix and the Coriolis and centrifugal matrix, we present the recursive algorithm for the derivation of the filtered manipulator model, which, to our knowledge, is the first result on this point in the literature. With this filtered model, the prediction error of the filtered torque is obtained and injected to the direct adaptation, forming the well-known composite adaptation law, with an acceptable amount of computation O(n2). A six degree-of-freedom (DOF) manipulator is employed as a simulation example to show the performance and the computational complexity of the proposed recursive algorithm.


2012 ◽  
Vol 263-266 ◽  
pp. 85-89
Author(s):  
Han Zhong Guo ◽  
Song Hua He ◽  
Jianping Ou ◽  
Qin Lin Zhai ◽  
Jun Zhang

The active radar guided missile will be affected by high power microwave weapon. Firstly, this paper builds the seeker damaged model according to the damaged experiment of seeker .Secondly, It also builds the six-degree-of-freedom missile model. The parameter and miss distance are obtained from Monte-Carlo experiments of missile damaged by HPM. The experiments combine the seeker model and missile simulation system. Through the statistics analysis, the result will provide consults for HPMW attacking missile.


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