Applied Sciences · 2021 · 35 citations · 20 references
EngineeringMechanical EngineeringDesign OptimizationOptimizationStructural DynamicsControl System DesignControl SystemsControl TheoryController DesignController TuningVibration ControlEvolutionary Optimization For TuningHarmony SearchMetaheuristic SearchNear-fault ResponseOptimal Control TuningOptimization-based TuningPid Control DesignPid Tuning
In this study, multi-story structures with different combinations (on each floor and only the first floor) of active tendon control systems driven by a proportional–integral–derivative (PID) controller were actively controlled. The PID parameters, Kp (proportional gain), Td (derivative gain), and Ti (integral gain) for each structure, were optimally tuned by using both the harmony search algorithm (HS) and flower pollination algorithm (FPA), which are metaheuristic algorithms. In two different active-controlled structures, which are formed according to the position of the PID, the structural responses under near-fault records defined in FEMA P-695 are examined to determine the appropriate feedback which was applied for displacement, velocity, acceleration, and total acceleration. The performance of the different feedback strategies on these two active-controlled structures is evaluated. As a result, the acceleration feedback is suitable for all combinations of the active control system with a PID controller. The HS algorithm outperforms the optimum results found according to the FPA.
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A New Heuristic Optimization Algorithm: Harmony Search
Zong Woo Geem, Joong Hoon Kim, G. V. Loganathan · SIMULATION · 2001 · 6.2K citations
Experimental Study of Active Control for MDOF Seismic Structures
L. L. Chung, R. C. Lin, T. T. Soong et al. · Journal of Engineering Mechanics · 1989 · 193 citations