2021
DOI: 10.1007/s40430-021-03233-9
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A flexible velocity planning algorithm for high-speed mounter with both efficiency and precision

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Cited by 5 publications
(4 citation statements)
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“…I 2 is the identity matrix with dimension 2. Since the constant value does not affect the optimal solution, cost function (15) can be further simplified and rewritten as follows: where θ 0 is the feedback parameter of MPQP problem (17). H, θ 0 , and F are calculated by the following:…”
Section: A Ccs-mpcc In the Form Of Mpqp Problemmentioning
confidence: 99%
See 2 more Smart Citations
“…I 2 is the identity matrix with dimension 2. Since the constant value does not affect the optimal solution, cost function (15) can be further simplified and rewritten as follows: where θ 0 is the feedback parameter of MPQP problem (17). H, θ 0 , and F are calculated by the following:…”
Section: A Ccs-mpcc In the Form Of Mpqp Problemmentioning
confidence: 99%
“…Therefore, v 0|k+1 = v(k + 1) ≈ ω e (k) is assumed. Meanwhile, similar to (15), by substituting model ( 19) and ( 22) into (4), the CCS-MPCC with one-step delayed MAESO compensation is derived as follows:…”
Section: B Ccs-mpcc With One-step Delayed Maeso Compensationmentioning
confidence: 99%
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“…Hu et al [18] proposed an optimal efficient motion control method based on the S-shaped velocity planning method. Firstly, according to the constraints of motor parameters and boundary speed, the feasible region and the time series on the acceleration or deceleration section of the S-shaped speed curve are determined; Then, based on the displacement constraints of the starting point and the end point, the time distribution of the S-shaped velocity curve is updated with the goal of optimal efficiency; Finally, according to the calculated time series, the point-to-point real-time motion control is realized based on the S-shape velocity planning algorithm.…”
Section: Motion Control System Of Chip Mountermentioning
confidence: 99%