IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society 2015
DOI: 10.1109/iecon.2015.7392406
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Smooth polynomial interpolation for point-to-point trajectories with vibration avoidance

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Cited by 6 publications
(5 citation statements)
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“…Trajectory generation must not only describe the desired trajectory accurately, but must also have smooth kinematics profiles for increasing the precision and the durability of the system, maintaining higher tracking accuracy while avoiding exciting natural modes of the mechanical structure or servo control system [35]. To do so, the trajectory must satisfy certain constraints such as the vehicle's physical limits, safety regulations and sensor specifications.…”
Section: Velocity and Acceleration Constraintsmentioning
confidence: 99%
See 1 more Smart Citation
“…Trajectory generation must not only describe the desired trajectory accurately, but must also have smooth kinematics profiles for increasing the precision and the durability of the system, maintaining higher tracking accuracy while avoiding exciting natural modes of the mechanical structure or servo control system [35]. To do so, the trajectory must satisfy certain constraints such as the vehicle's physical limits, safety regulations and sensor specifications.…”
Section: Velocity and Acceleration Constraintsmentioning
confidence: 99%
“…Theorem 1. Consider the rigid body dynamics (20) with the control law (27) resulting in the closed loop attitude dynamics given by (34) and (35). Then, under assumptions of the lemma, the trajectories of (34) and (35) converges to the following subsets S 3 × R 3 , given by Θ 1 = (±1, 0, 0) and Θ 2 = {(0, ±v 1 , 0), (0, ±v 2 , 0), (0, ±v 3 , 0)}, where v i (i = 1, 2, 3) are unit eigenvectors of W ρ .…”
Section: Stability Analysis Of the Proposed Control Lawmentioning
confidence: 99%
“…To suppress the vibration quickly, the jerk should be continuous. However, planning the higher order curves directly may increase computation load (Sencer and Ishizaki, 2016). The general input shaping can lower the abrupt change value, while it cannot guarantee the continuous jerk.…”
Section: Principle Of Vibration Suppressionmentioning
confidence: 99%
“…For complex, nonlinear systems, feedforward motion planning or trajectory planning with minimum vibration can be determined by employing various optimization algorithms, like particle swarm optimization (PSO), and genetic algorithm (GA) [16][17][18] . In those investigations, the motion profiles are generated using polynomial functions, trapezoidal profiles, or spline curves [19,20] . On the other hand, a large number of investigations toward feedback vibration control have also been conducted by using smart materials, like piezoelectric actuators, PVDF [21] .…”
Section: Introductionmentioning
confidence: 99%