Abstract
In this study, we have a research of the fuzzy control for food agricultural robotics of a degree. Weeding robots can replace humans weeding activities, since the control system with nonlinear, robustness and a series of complex time-varying characteristics of the traditional PID control of the food agricultural robot end of the operation control effect cannot achieve the desired results, therefore, the design for the traditional use of classical PID control algorithm to control the food agricultural robot end of the operation of a series of drawbacks, combining cutting-edge control theory, fuzzy rule-based adaptive PID control strategy to control the entire system, so as to achieve the desired control effect. Experimental results show that the fuzzy adaptive PID control method for robot end postural control has better adaptability and track-ability.
Highlights
Weeding the grass-cutting robots can replace humans working to alleviate the workload of farmers on the one hand and the intensity of work, on the other hand can be lifted out from the hard work of farmers (Andreev et al, 2000; Liu, 2009; Hejun et al, 2011)
Mathematical model of the object difficult to establish under their control, with traditional PID control technology, it is difficult to meet the requirements of accuracy control system
Simulation results show that the significant improvement in the performance of the design method of control system
Summary
Weeding the grass-cutting robots can replace humans working to alleviate the workload of farmers on the one hand and the intensity of work, on the other hand can be lifted out from the hard work of farmers (Andreev et al, 2000; Liu, 2009; Hejun et al, 2011). We have a research of the fuzzy control for food agricultural robotics of a degree.
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