fuzzy controller

The movement of the tractor on the side or lateral slopes causes overturning and, consequently, its damage and, in most cases, may also the driver’s death. More than 50% of accidents are related to overturning. In general, tractor overturning can be in the form of lateral and backward overturning, caused by various factors, one of which is the Sharp and uneven side slopes. In this paper, two controllers are designed as a hybrid unit, the first controller is a fuzzy controller, and the second controller is a Proportional Integral Derivative controller (PID). Simultaneously employing these two controllers, the necessary force for the stability and balance of the tractor on side slopes is determined. The performance of the integrated controller was investigated using the Simulink MATLAB environment. Combining these two controllers creates a combinatory control system that can monitor the tractor’s balance on the go on the side slope to prevent overturning phenomena. The fuzzy controller determines the required force for the tractor’s stability, and the PID controller corrects the amount of this force by considering the existing errors. The information obtained from these controllers, which is in the form of determining the force required for the tractor’s stability, is transferred to a hydraulic actuator to apply this force to the tractor body during overturning conditions on side slopes.

The first step in chicken breeding is the production of chicks, which requires a high-performance incubator. In this research, the performance of two incubators was compared. One of them was instrumented with a hybrid system based on fuzzy controller (HIFC), another one was the commercial incubator (ON/OFF). By comparing the important parameters to make suitable conditions for eggs hatchery, the percentage of eggs hatching, egg weight changes, chick’s hatch time and energy consumption were compared and evaluated. The result showed that the eggs hatching ratio was 92.13% for HIFC and 78.16% for ON/OFF systems. The HIFC system showed a better result in controlling egg environmental conditions than the ON/OFF system, based on eggs weight changes and chick’s hatch time. The energy consumption of the fuzzy controller was 31.25% less than the ON/OFF controller. The amount of energy received by the solar hybrid system over a 21 day periods was 27.20 kWh. For the HIFC system, the amount of energy needed for a hatching period was 24.24 kWh which shows an excess energy of 12.21%. For the ON/OFF system, contribution of solar hybrid system for power requirement was 77%.