Level Control System Of Intelligent Control Algorithm

The traditional control theory, such as PID control and Advanced-PID control theories|are adapt to typical systems. However, they always could not get good effect from controlling|some systems, which are complex or difficult to build a mathematical model accurately. The||intelligent control theory is propsed to solve this problem.At present,the intellight control||has been used as an independent research area, adopted in many complicated control systems,|and be widely studied by the scholars of the control area.As a research object in this paper, The Double-tank water level control system is the||typical representative of complex control systems with large inertia and internal delay. The||study can be summarized as follows:First of all, establishing the mathematical model of the||Double-tank water level control system through mechanical analysis, and getting the transfer|function from the model. Secondly, discussing PID control, Fuzzy control and||Neural-Network control theories and their implementation in detail. Carrying out the||simulation of PID control, Fuzzy control and Neural-Network Predictive control through the||SIMULINK block model in MATLAB. Finally, the different control simulation curves of|three control methods are compared intuitively which shows the validity of intelligent control||in complex systems.The intelligence control system has better performance, such as small overshoot, short||adjusting time, fault tolerance, strong anti-interference ability and good robustness. With the|rapid development of artificial intelligence and computer technology, the studies and||applications of intelligent control and the relevant algorithms are becoming the hotspot in||academy. Obviously, the intelligent control will also meet its development during the new||period.