Volume 17, Issue 7 (2017)                   Modares Mechanical Engineering 2017, 17(7): 79-90 | Back to browse issues page

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Safehian J, Akbari A A, Hosseini Sani S K. The Novel Control Method for Voice Coil Actuator Fatigue Testing Machine. Modares Mechanical Engineering. 2017; 17 (7) :79-90
URL: http://mme.modares.ac.ir/article-15-10237-en.html
Abstract:   (1946 Views)
Developed novel adaptive controller is suitable for time-varying linear system subject to harmonic reference signal with variable average and amplitude. This controller is experienced successfully at high frequencies on voice coil actuator (VCA) fatigue testing machine which has variable time-varying dynamic. In this applicable approach, assuming having linear system around operation point and slow rate time-variation, tracking control of harmonic reference signal is replaced with regulation control of average and amplitude of harmonic reference signal. In the proposed method, a Single-Input Single-Output (SISO) system estimated by a fourth-order model, is considered as the simplest decoupled Multi-Input Multi-Output (MIMO). This causes reduction in the amount of computations and no need to complicated hardware. Consequently, the proposed method provides a real-time control for implementation of random harmonic loading with rapid changes in average and amplitude. To complete control objectives, primary control by the PI controller, dynamic saturation blocks and linearization blocks, are employed. Soft start of loading due to PI controller, provides enough time for system identification of adaptive controller and guarantee avoidance of impact on specimen and credibility of fatigue test. In addition, the using of linearization blocks for trajectory planning of command signal and using of dynamic saturation blocks, restrain the overshoot of loading and prevent excitation of unmodelled dynamics. Finally, different materials under different frequency loading are successfully tested.
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Article Type: Research Article | Subject: Mechatronics
Received: 2017/02/24 | Accepted: 2017/05/28 | Published: 2017/07/13

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