Fuzzy Model-Based Control of a Pneumatic Chamber

In recent years, the study in fuzzy control has been received extensive attention. However, most of available fuzzy control rules currently used are based on trial and error as it is difficult to predict fuzzy parameters systematically. In this study, we proposed a fuzzy model for a pneumatic chamber and applied an "inverse plant" technique, incorporating above fuzzy model, to develop suitable control law for pressure tracking control. Experimental results have shown that the proposed fuzzy model-based controller is better than the conventional PID controller as it has better transient and tracking performance. Also, the proposed controller can reject system variation to some extent.