Modeling and Control of an Irrigation Station Process Using Heterogeneous Cuckoo Search Algorithm and Fuzzy Logic Controller

Water is becoming a precious and very scarce resource in many countries due to an increasing demand in agricultural and industrial fields as well as population growth. Therefore, we have to optimize the water resources from hydraulic systems, in order to decrease water losses. In this context, many research studies focused on modeling, identifying, and controlling of hydraulic systems, especially for agricultural use. In this paper, we will investigate the problem of identification and control design for an irrigation process through an academic irrigation station (IS) system. Two main objectives will be reached. On the one hand, we will provide a new optimal Takagi–Sugeno (T–S) fuzzy model of our IS process. The optimal model is obtained through using a fuzzy parameters searching strategy, named intelligent T–S modeling. This last, is associated with a heterogeneous cuckoo search (HeCoS) strategy based on the quantum mechanism. On the other hand, we will devote a lot to the synthesis of an optimal control law by using fuzzy logic control (FLC) to ensure the global stability of the closed-loop system. The proposed FLC has two major advantages. First, it does not require a complex process to find a common Lyapunov function for a large number of fuzzy subsystems. Therefore, the designed procedure of the proposed FLC is much simpler. Second, by employing the FLC, the closed-loop system performance can be designed. Finally, and as a result, the HeCoS strategy is well adopted to find an optimal model for the real processes with high accuracy and strong generalization ability. Experimental results applied to the IS demonstrate the merits of the proposed FLC.