Control method of performance-constrained flexible manipulator based on deterministic learning theory
A technology for determining learning theory and flexible robotic arms, applied in manipulators, program-controlled manipulators, manufacturing tools, etc., can solve the problems of time-consuming, redundant, and difficult to reach neural networks, avoid redundant online adjustment processes, and save time. , easy to design effect
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[0048] This embodiment mainly studies the trajectory tracking control of the flexible manipulator in the case of limited tracking performance. figure 1 A schematic diagram of the flexible robotic arm system.
[0049] The overall control block diagram of the performance-limited flexible manipulator control method based on deterministic learning theory is as follows: figure 2 As shown, its detailed implementation process includes:
[0050] Step (1): Establish a dynamic model of the flexible manipulator.
[0051] According to the following flexible manipulator system model:
[0052]
[0053] The dynamic model form transformed into the decoupled fourth-order canonical system form is as follows:
[0054]
[0055] where x 1 and x 2 I and J are the inertia of the connecting rod and the motor respectively, M is the mass of the connecting rod, L is the length of the connecting rod, g is the acceleration of gravity, and K is the elastic coefficient of the flexible part spri...
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