Anti-noise-interference redundant manipulator path planning method
A path planning, robotic arm technology, applied in manipulators, program-controlled manipulators, manufacturing tools, etc., can solve problems such as unsatisfactory, unreasonable, and unrealistic
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Embodiment 1
[0085] Such as figure 1 As shown, this embodiment provides a redundant robotic arm path planning method for anti-noise interference, the method includes the following steps:
[0086] S1. Establish a time-varying quadratic programming model according to the actual redundant manipulator parameter index, and introduce the performance index coefficient vector of the redundant manipulator;
[0087] S11. Establish a time-varying quadratic programming model:
[0088] By formulating and modeling the parameter index of the actual redundant manipulator, the following kinematic equation expression of the redundant manipulator can be obtained:
[0089] f(θ(t))=r(t) (1)
[0090] Where θ(t) is the mechanical joint angle of the redundant manipulator; r(t) is the expected end trajectory of the redundant manipulator; f( ) is a nonlinear equation representing the joint angle of the redundant manipulator; Simultaneously deriving both ends of the equation can obtain the following expression of...
Embodiment 2
[0133] Such as figure 2 As shown, this embodiment provides a redundant robotic arm path planning system that is resistant to noise interference, and the specific uses of each module are as follows:
[0134] The external environment input module is used for acquiring and analyzing data input from the external environment.
[0135] The input interface circuit module is used for external setting data and as an interface channel between processors, and can be realized by circuits and protocols of different interfaces according to different sensors.
[0136] The processor module is used to process the external input data, that is, to obtain the optimal solution of the noise-resistant redundant manipulator motion path planning method designed based on the power-type variable parameter recursive neural dynamics method.
[0137] The output interface module is used for the interface between the data solved by the redundant manipulator motion path planning method for anti-noise interf...
Embodiment 3
[0149] The MATLAB simulation experiment of this embodiment is established in Kinova-JACO 2 Based on the lightweight bionic robotic arm. The total weight of this type of robotic arm is 4.4kg, and the maximum control distance is 77cm.
[0150] This type of redundant robotic arm contains a total of 6 degrees of freedom, that is, θ(t) contains 6 elements; the spatial dimension at the end of the robotic arm is 3, including three directions: X axis, Y axis, and Z axis; Its Jacobian matrix is The initial joint angle of the redundant manipulator is set as θ(0)=[1.675,2.843,-3.216,4.187,-1.710,-2.650]; the task execution cycle t is set to 8s; the parameter γ is set to Set at 80. In this example, in order to demonstrate the superiority of the variable parameter neural solver proposed by the present invention for redundant manipulator motion planning, the Kinova-JACO 2 The expected trajectory of the light-weight bionic redundant manipulator is set as a complex butterfly shape, and t...
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