TY  - THES
T1  - Comparison of classical and fuzzy control in active mass damping of a flexible structure
A1  - Burgos, Osmonn Tacderas
LA  - English
YR  - 2003
UL  - https://ds.mainlib.upd.edu.ph/Record/UP-99796217607612513
AB  - Most research on fuzzy control claim that fuzzy controllers outperformed classical controllers. As an application of control theory, active structura; control finds its importance in the enhancement of safety on building against environmental actions such as earthquakes and strong winds. Experimental testing is an important step in the verification of control strategies for structural control. The purpose of this thesis is to obtain a quantitative comparison of classical and fuzzy logic controllers in the control of a flexible structure employing an active mass damper (AMD) system. Both controllers are optimized and evaluated through simulation in Matlab and implemented in real-time using Real-Time Workshop. The parameters of both controllers are tuned to achieve minimum sum-of-squares of the top floor acceleration. A nonlinear least-squares optimization algorithm, which uses the Gauss-Newton or the Levenberg-Marquardt methods, is used to optimize the controller parameters. A Nedler-mead simplex direct search method is also used. Most of the research on active structural control has focused on either full state feedback strategies or velocity feedback strategies. However, accurate measurement of necessary displacements and velocities of a structure is difficult to achieve directly. Accelerometers can readily provide accurate reliable measurement of the structural accelerations at strategic points on the structure. Control methods based on acceleration feedback are developed in the miminization of the structure response over sinusoidal and random disturbances. A classical proportional controller is compared with a single input-output, five membership function fuzzy controller. The optimizations are done for the proportional gain of the classical controller, the output membership range and the zero output membership width for the fuzzy controller. However, the classical optimized controller outperformed the optimized fuzzy controller in terms of the final objective function: sum-of-squares of the top floor acceleration. Moreover, a plot of the objective function versus the controller parameter shows a monotonically decreasing curve for the classical controller and a convex curve (increasing at low and high values for the controller parameters_ for the fuzzy controller.
CN  - LG 995 2003 E64 B87
KW  - Intelligent control systems.
KW  - Electronic controllers.
KW  - Fuzzy logic.
KW  - Fuzzy systems.
KW  - Damping (Mechanics).
ER  -