Adaptive Quasi bang-bang Controller for Structural Health Monitoring

This research aims to optimize the control algorithm for structural vibration reduction while maintaining design simplicity and achieving performance comparable to the clipped optimal LQR/LQG. The quasi-bang-bang controller has been enhanced using particle swarm optimization (PSO) to fine-tune its output weights. In the event of seismic activity, PSO dynamically adjusts these constant output weights to ensure optimal performance under varying load conditions.To evaluate the effectiveness of the optimized controller, a three-story prototype structure equipped with an MR damper is tested. The setup is subjected to a series of recorded earthquake time histories from different environments to assess the adaptability of the controller. The results are then compared with established benchmarks, including the clipped optimal linear quadratic Gaussian (LQG) controller, the quasi-bang-bang controller, and the modified quasi-bang-bang controller. The results show that the PSO-optimized quasi-bang-bang controller outperforms these alternatives, not only by reducing the structural response more effectively but also by consuming less power during operation.