Active Vibration Control Optimization Based on NSGA-II

Fast and elitist multi-objective genetic algorithm(NSGA-II) is based on Pareto-optimal front with low computation requirement, elitist approach, and simple constraint-handling strategy. NSGA-II can search the representative and satisfactory Pareto-optimal solutions for expert to objectively select the optimal solution according to weight values of objective functions and different purposes, which is the incomparable advantage over single-objective optimization algorithm. Taking structure vibration energy and system control energy as multi-objective optimization functions of a structure vibration system, an multi-objective optimal disposition model is established including placement, quantity and length of sensors and actuators, and control gain of active vibration control system. A cantilever simulation with NSGA-II as optimization strategy verifies the effectiveness and feasibility of the presented method.