Amphibious crab-imitating multi-legged robot walking foot anti-saturation finite time motion control method
A multi-legged robot, limited time technology, applied in the direction of non-electric variable control, attitude control, control/regulation system, etc., can solve the problems of poor tracking control accuracy and slow speed of walking foot trajectory
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[0067] An amphibious imitation crab multi-legged robot walking foot anti-saturation finite time motion control method described in this embodiment includes the following steps:
[0068] S1. Based on the amphibian crab multi-legged robot walking foot dynamics model, the amphibian crab multi-legged robot walking foot dynamics model transformation:
[0069] Amphibian imitation crab multi-legged robot walking foot model such as figure 2 As shown, establish a coordinate system for the walking foot, where the fixed coordinate system of the walking foot is O-X 0 Y 0 Z 0 , the hip joint coordinate system is O-X 1 Y 1 Z 1 , the hip joint coordinate system is O-X 2 Y 2 Z 2 , the tibial joint coordinate system is O-X 3 Y 3 Z 3 , the coordinate system of the end point of the walking foot is O-X 4 Y 4 Z 4 , where the fixed coordinate system of the walking foot is also the coordinate system of the connection between the walking foot and the robot body.
[0070] The dynamic e...
Embodiment
[0217] In order to verify the control performance of the above joint controller, the dynamic control of the walking foot of the robot will be simulated by MATLAB according to the scheme of the specific embodiment one, and the performance of the designed controller (the present invention) will be verified. The parameters of the adaptive finite-time disturbance observer are: c 0 =50,Θ 0 =[60,100,120] T , γ=1, δ=0.1; the parameter settings of the controller are: λ=diag[5,5,5], μ=diag[0.1,0.1,0.1], k 1 =diag[5,5,5],k 2 =diag[0.01,0.01,0.01], p=3, q=5; the parameters of the auxiliary system designed considering the input saturation are: A=diag[5,3,5], B=[0.1,0.2,0.3] T , P=diag[0.01,0.01,0.02],σ 0=100, set the input saturation limit to be ±50Nm; the model parameter uncertainty is 20% of the nominal system dynamics parameter, and define the lumped uncertainty as: d=[1+0.3sin(0.3t)cos(0.2 t),0.5+0.1sin(0.2t)cos(0.1t),0.1+0.1sin(0.2t)]. The angular position of each joint of th...
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