Modeling, Identification and Control of Irrigation Station with Sprinkling: Takagi-Sugeno Approach - Complex System Modelling and Control Through Intelligent Soft Computations - page 483

Fig. 19 Functional diagram of the system buckled with PI controller
4.2 Simulation Results of PI Controller
The result obtained by PI regulator ensures the control of the pressure because the
answer follows the instruction given. In the presence of 20 % disturbance, the
robustness of this technique of regulation appears in the compensation of the latter.
The major disadvantage of this method of regulation resides primarily at the
problem of adaptation of the controller opposite the external variations such as the
extension of network of drain, the escapes, etc. (Figs. 20 and 21 ).
4.3 Fuzzy Logic Control of the Irrigation Station
To use the fuzzy controller (Chakchouk et al. 2014 ), this last must be programmed
through the tool FUZZY OF MATLAB. Entries and are chosen of Gaussian form
Fig. 20 Evolution of
pressure in presence of PI
regulator