A Novel Adaptive Interpolation Approach for the Implementation of Operating-Speed-Dependent Motion Profiles in Processing Machines

Holowenko, Olaf; Troll, Clemens; Ihlenfeldt, Steffen; Majschak, Jens‐Peter

doi:10.1016/j.jestch.2021.03.007

Cited by 2 publications

(6 citation statements)

References 8 publications

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“…An accuracy of ε = 1 µm is common when calculating position set points on cams [7]. This magnitude has also proven to be useful in previous studies [3,4,6]. Depending on the process under consideration, however, lower accuracies (respectively higher tolerances) may also be sufficient.…”

Section: Requirements On the Preparation Resultsmentioning

confidence: 99%

“…With conventional controls, executing such unstable processes is possible only within a very small operating speed range. In previous works, a tripartite approach for controlling operation speed-dependent processes has been developed and discussed [2][3][4][5][6]. The first part of the approach is to optimize the motion specification for a given operating speed n. In doing so, effects are taken into account whose characteristics change with the operating speed, e.g., vibrations or kinetic energy.…”

Section: Motivationmentioning

confidence: 99%

“…The optimal motion profiles are directly included in the map. If a non-optimized operating speed has to be driven (Figure 1c, gray), an interpolated value is used [4,6]. Finally, a specialized microcontroller-based control system has been developed.…”

Section: Motivationmentioning

confidence: 99%

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Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

2020

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In motion control, the generation of motion profiles for non-linear kinematics is usually computationally complex. In order to minimize the workload on the machine’s control system, the approach pursued is outsourcing complex calculation tasks to the offline area. In this offline motion preparation, predefined criteria have to be taken into account to guarantee process stability on the real machine. During the motion preparation, a high performance is desired, characterized by less data generated and at the same time little computing effort. The evaluation will use the example of a motion specification, which is characterized by a large amount of data compared to conventional motion specifications. Thus, the demands on performance become even higher. This paper examines the performance of different motion preparation approaches known from literature. On the one hand, selected spline-based algorithms are discussed and compared. A recursive algorithm based on monomial splines is recommended for use in the example. On the other hand, a very simple approach based on the linearization of the non-linear workspace of the mechanism is presented and applied on the algorithms. With this, the performance increased significantly again.

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Section: Requirements On the Preparation Resultsmentioning

confidence: 99%

Section: Motivationmentioning

confidence: 99%

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Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

2020

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“…In [16,17] it was assumed that this can improve the motion quality compared to the discrete motion processing approach. In [7,13,16] it was experimentally proven that the interpolated value of the continuous processing might be closer to the optimal value compared to discrete processing. However, the success of this depends on the process characteristics and the used interpolation method [13].…”

Section: Motion Processing Approachmentioning

confidence: 99%

“…In [7,13,16] it was experimentally proven that the interpolated value of the continuous processing might be closer to the optimal value compared to discrete processing. However, the success of this depends on the process characteristics and the used interpolation method [13]. In [7], a 1D linear interpolation was validated for the intermittent transport method, shown in Figure 6a.…”

Section: Motion Processing Approachmentioning

confidence: 99%

Combining the Advantages of Different Processing Solutions Using a Novel Motion Processing Approach

et al. 2021

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In processing machines, technological tasks are implemented using suitable processing solutions. Those processing solutions can in turn have very different characteristics and specific advantages and disadvantages, e.g., concerning sensitivity to changing operating speed. In state-of-the-art processing machine controls, executing one single processing solution is supported. The execution of various processing solutions together and the combination of their advantages is currently not supported at all. In this article, a motion control approach is discussed that allows combining seemingly incompatible process solutions for a given technological task into a hybrid process solution, using the example of processing machines. The objective of this approach is to increase the achievable process window of the machine in terms of operating speed. It is shown that combining different process solutions can merge their advantages and compensate for their disadvantages. The article brings together the lessons learned from previous work in a new application to exploit advantages and compensate for disadvantages.

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A Novel Adaptive Interpolation Approach for the Implementation of Operating-Speed-Dependent Motion Profiles in Processing Machines

Cited by 2 publications

References 8 publications

Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

Performance Evaluation of Offline Motion Preparation Approaches on the Example of a Non-Linear Kinematics

Combining the Advantages of Different Processing Solutions Using a Novel Motion Processing Approach

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