Optimal solution method of multi-degree-of-freedom manipulator vector polynomial system
A polynomial and robotic arm technology, applied in complex mathematical operations, geometric CAD, special data processing applications, etc., can solve problems such as high computational complexity, not using the half-angle tangent form of joint angles, and singularity in the solution process
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Embodiment 1
[0351] Solve the polynomial p(x)=x 3 -10x 2 +31x-30=0,
[0352] From formula (152) and (154) get
[0353]
[0354] All solutions of polynomial equations are sequences of characteristic roots [2,3,5]. And all solutions of univariate polynomials can be obtained from the adjoint matrix.
[0355] Multilinear Polynomial Equation Solving
[0356] Solving a 2-variable 2nd-order multilinear polynomial f 2 (x 1 ,x 2 )=0 2 :
[0357]
[0358] means f 2 The nth subequation of . 2-variable 2nd-order multilinear polynomial f 2 (x 1 ,x 2 ) is abbreviated as f 2 .
[0359] Step 1: Calculate Dixon polynomials. Introducing the substitution variable y 2 to replace the original variable x 2 , denoted as |2, then the reduced polynomial matrix is:
[0360]
[0361] call the second column f 2 downscaling substitution. determinant called f 2 Dixon polynomials
[0362]
[0363] Equation (157) is a necessary condition for the solution of Equation (155).
[0364]...
Embodiment 2
[0375] Given a 3-fold linear polynomial, we have
[0376]
[0377] second order polynomial system
[0378] The n-fold linear order sequence W n and the original variable sequence X n The second-order form of is denoted as and thus obtaining a quadratic polynomial and have a one-to-one mapping relationship. The reduced-order substitution matrix of is denoted as
[0379]
[0380]
[0381]
[0382] is the original variable sequence, is the second-order form of the original variable sequence.
Embodiment 3
[0384] From formula (162), we get
[0385]
[0386]
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