Fuzzy model reference learning control: a new control paradigm for smart structures

The overall goal of this study lies in the synergistic combination of intelligent control and smart materials to produce an adaptive and robust controlled system. In order to accomplish this task, steel cantilever beam (the plant) was augmented with a lead zirconate titanate (PZT) actuator pair and a PZT sensor. A controller was developed using algorithms produced from fuzzy logic controls and adaptive fuzzy controls. The expected goal is to dampen the fundamental vibration mode of the system in the presence of modeling uncertainties. Fuzzy model reference learning control (FMRLC) is a learning system with the capability to improve its performance over a period of time when various plant uncertainties are introduced. First, the controller will be employed on unseen plant disturbances. The robustness of the system will be examined when the cantilever beam system properties change. Extra masses will be added to account for variations in system parameters. Controllers such as positive position feedback and direct fuzzy will be developed and compared to the adaptive fuzzy controller.