SWOT on Execution of Optimization Techniques for Liquid Level Control in a Tank

Liquid level control in a tank can be done using various controllers. Conventionally there are many controllers that give a response which is sometimes not desirable. Industries want to improve the control strategy for making the controller work more efficiently. This can be achieved by optimizing the mechanism of controller using some heuristic optimization technique. In this paper optimization techniques like genetic algorithm, ant colony, fuzzy logic control and ANN are discussed. Fuzzy logic controller and ANN are more preferable over other optimization techniques because of their fast response and ability to reduce the error with a considerable amount. ANN can be used to train the fuzzy logic controller to make it more robust.