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• W118879770 abstract "Control design is an important element in the development of new motion stage concepts at Philips Applied Technologies. In order to meet the increasing performance requirements, it is often necessary to extend the traditional two-degree-of-freedom control structure. These extensions typically consist of additional control-related functionality, such as disturbance feedforward filters and compensation tables, for instance. As a result of this increasing flexibility and complexity of the motion control system, it is necessary to develop adequate design and tuning procedures for an increasing number of design parameters. The approaches currently being applied can roughly be divided into manual control design and off-line model-based control design. However, it appears that these methods have several disadvantages. For example, both approaches do not adapt to changes in the system over time. It is believed that these shortcomings can be overcome by Machine-In-the-Loop control optimization. The main idea behind this approach is to formulate the control design problem as an optimization problem, in which the objective function is evaluated and optimized on the actual system. The objective of the literature survey is to investigate the Machine-Inthe-Loop control optimization concept in more detail. For this reason, two questions are formulated. The first question is to find out which theoretical aspects and building blocks are important with respect to Machine-In-the-Loop control optimization. Three main building blocks are considered. These are discrete time signals and discrete time signal analysis, single input single output linear time-invariant systems and system modeling and, finally, optimization techniques. The second question is to find out which control techniques, related to Machine-In-theLoop control optimization, are already available. In this context, four control concepts are considered. These are the self-tuning regulator, model reference adaptive control, iterative feedback tuning and lifted iterative learning control. It is concluded that none of the four considered control concepts satisfies all desired properties of Machine-In-the-Loop control optimization. Furthermore, each concept provides a solution to a specific control design problem, thereby imposing specific assumptions. Nevertheless, it is observed that three control concepts make use of optimization techniques in order to solve the problem. Hence, a recommendation for future research is to investigate whether a general approach, denoted Machine-In-the-Loop control optimization, can be developed from an optimization point of view. Hereby, it is desired that the general approach results in algorithms that have several appealing properties." @default.
• W118879770 created "2016-06-24" @default.
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• W118879770 date "2004-01-01" @default.
• W118879770 modified "2023-09-23" @default.
• W118879770 title "Machine-In-The-Loop control optimization:a literature survey" @default.
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