Research and application of fuzzy PID controllers

There are Z - N oscillation method and reaction curve and so on in based methods classical approaches. In fuzzy PID auto-tuner conventional gain scheduling involves using extra information from the plant, environment, or user to tune (via “schedules”) the gains of a controller. We study how the two-link flexible robot operates under the “no control” situation. The robot endpoint position shows a significant amount of endpoint oscillation. We can overcome a large overshoot and oscillations near its set-point of open-loop control to use fuzzy control system with a supervisory level (PID controller). The experiment shows that the fuzzy control system with supervisor level (PID controller) gave better results in the case of large and loaded-tip slews.