In a companion paper (Spencer et al.), an overview and problem definition was presented for a well-defined benchmark structural control problem for a model building configured with an Active Mass Driver (AMD). A second benchmark problem is posed here based on a high-fidelity analytical model of a th
Benchmark problems in structural control: part I—Active Mass Driver system
✍ Scribed by Spencer, B. F.; Dyke, S. J.; Deoskar, H. S.
- Publisher
- John Wiley and Sons
- Year
- 1998
- Tongue
- English
- Weight
- 254 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0098-8847
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✦ Synopsis
This paper presents the overview and problem definition for a benchmark structural control problem. The structure considered-chosen because of the widespread interest in this class of systems-is a scale model of a three-storey building employing an active mass driver. A model for this structural system, including the actuator and sensors, has been developed directly from experimentally obtained data and will form the basis for the benchmark study. Control constraints and evaluation criteria are presented for the design problem. A simulation program has been developed and made available to facilitate comparison of the efficiency and merit of various control strategies. A sample control design is given to illustrate some of the design challenges.
📜 SIMILAR VOLUMES
A probability-based robust control design methodology is presented that is applied to the 'benchmark system', which is a high-fidelity model of an active-mass-driver laboratory structure. For the controller design, the objective is to maximize the probability that the uncertain structure/controller
In this paper we develop a robust controller design for the Active Mass Driver (AMD) benchmark problem. The design process is based around the D-K iteration procedure for (complex) synthesis, together with a balanced truncation procedure to reduce the controller order. The final design is a third-or
Methodology for active structural control using neural networks has been proposed by Ghaboussi and his co-workers [1][2][3][4][5][6][7][8] in the past several years. The control algorithm in the mathematically formulated methods is replaced by a neural network controller (neuro-controller). Neuro-co
The structured singular value ( ) synthesis technique is used to design controllers for the Active Mass Damper (AMD) Benchmark problem. The motivation for using synthesis is its ability to directly incorporate performance and robustness objectives into a multivariable control design framework. In ad