2005
DOI: 10.1016/j.rcim.2004.05.004
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Algorithms for time–optimal control of CNC machines along curved tool paths

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Cited by 95 publications
(29 citation statements)
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“…The time-optimal setting of the cornering feedrate function parameters, combined with the three-phase feedrate profiles along linear segments, offers a simple kinematic basis for efficient execution of piecewise-linear paths with rounded corners, that avoids the complicated mathematical formulations and algorithmic implementations incurred by the formal "bang-bang" solutions [1,6,17,19] to time-optimal motion problems under prescribed acceleration bounds. The proposed strategy yields significant time savings, while globally satisfying the specified acceleration bounds over the entire path.…”
Section: Corner Rounding and Feedrate Algorithmsmentioning
confidence: 99%
“…The time-optimal setting of the cornering feedrate function parameters, combined with the three-phase feedrate profiles along linear segments, offers a simple kinematic basis for efficient execution of piecewise-linear paths with rounded corners, that avoids the complicated mathematical formulations and algorithmic implementations incurred by the formal "bang-bang" solutions [1,6,17,19] to time-optimal motion problems under prescribed acceleration bounds. The proposed strategy yields significant time savings, while globally satisfying the specified acceleration bounds over the entire path.…”
Section: Corner Rounding and Feedrate Algorithmsmentioning
confidence: 99%
“…Let z * denote an optimal point of (8), and λ * , ν * the corresponding optimal Lagrange multipliers of the equality and inequality constraints in (8). Then, the derivative dr * dts (T s ) of the maximum travel range r * = c T z * to the sampling time t s , evaluated at the actual sampling time T s is given by [17]:…”
Section: Problemsmentioning
confidence: 99%
“…The goal is to find the system input that steers the system output from a given initial condition to the desired end condition in minimal time while respecting the system constraints. The literature on timeoptimal motion control is vast and contains both online [1] and offline [2], [3], [4], [5], [6] optimization methods, and focusses mainly on robotic manipulators [7], [8], [9], [10] and linear time-invariant (LTI) systems [1], [2], [3], [4], [5]. Depending on the linearity of the system and the parametrization of the motion trajectory, these algorithms yield an approximate [6], [4], [5] or an exact solution of the time-optimal PTP motion control problem [1], [2], [3].…”
Section: Introductionmentioning
confidence: 99%
“…There are a number of trajectory planning algorithms which generate trajectory to drive a manipulator or motion stage with constraints on joint torques or actuator forces along a given geometric path in minimum or near-minimum time [1][2][3][4][5][6][7][8]. In most of these pieces of earlier work, either the system dynamics is simplified (for example, Coriolis and centrifugal terms are omitted in industrial robot dynamics) or hardware capability constraints are developed without higher order states (e.g., jerk constraint [5]).…”
Section: Introductionmentioning
confidence: 99%