Forward Displacement Analysis of the 6-SPS Stewart Mechanisms Based on Hyper-Chaotic Damp Least Square Method

Abstract:

The forward displacement analysis of the 6-SPS Stewart mechanism can be transformed into solving complicated nonlinear equations and it is a very difficult process. Taking chaotic sequences as the initial values of damp least square method, all the solutions of equations can be found quickly and making use of existing chaos system and discovering new chaos system to generate chaotic sequences with good properties is the key to the Chaos sequences-based damp least square method. Based on the connection topology of chaotic neural network composed of the four chaotic neurons, hyper-chaos exists in the chaotic neural network system. Combining hyper-chaos with damp least square method, a new method to find all solutions of nonlinear questions was proposed, in which initial points are generated by utilizing hyper-chaotic neural network. Based on direction cosine matrix and Euler parameters, the model of the forward displacements of 6-SPS parallel mechanism with seven variables is built up. The result is verified by a numerical example.

• Periodical: Applied Mechanics and Materials (Volumes 55-57)
• Pages: 2099-2103
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.55-57.2099
• Online since: May 2011
• Authors: You Xin Luo, Qi Yuan Liu, Xiao Yi Che, Bin Zeng, Zhe Ming He
• Keywords: Damp Least Square Method, Direction Cosine Matrix, Forward Displacement Analysis, Hyper-Chaos Neural Network, Nonlinear Equation, Parallel Mechanism

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