Fuzzy control applied to an electrical power generation system mounted on tractors for driving of agricultural implements

Abstract

ABSTRACT:The demand of the agricultural sector for more operationally efficient machines and implements motivated the development of alternatives for driving of this equipment. Aiming an electrical supply to apply in agricultural implements, this study proposes a system that uses the tractor power take off to activate a synchronous generator, using a fuzzy logic controller designed to regulate the generated voltage level. Different control architectures were tested and evaluated by simulations. In the initial stage were evaluated fuzzy PI, fuzzy PD and fuzzy PID controllers of multiple inputs and single output (MISO) and the error of the generated voltage as state variable. Subsequently, it was evaluated a fuzzy PI controller of single input and multiple outputs (SIMO) with a modified rule base for the system. In the final stage, the angular drive speed was included as state variable of the controller. The behavior of each architecture was analyzed by means of performance indexes. The results show that among the tested controllers, the modified fuzzy PI SIMO presented the best performance values while maintaining the operating variables within the established limits.

Automatic Steering Control Algorithm Based on Compound Fuzzy PID for Rice Transplanter

“…The automatic steering control system in navigation is a key step in providing support for subsequent navigation control [3,4]. Many different control methods have been developed for the automatic control system, including the pure pursuit model [5][6][7][8], the proportional-integral-derivative (PID) control [9,10], the fuzzy control [11][12][13], and the neural network [14][15][16][17]. Among these, the pure pursuit model is the most commonly used approach for the automatic control.…”