【摘 要】
：
In order to achieve real-time variables dressing in winter wheat jointing stage, the fertilizer quantity real-time adjustment algorithm based on fuzzy PID control was studied.In order to achieve the o
【机 构】
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College of Engineering, Nanjing Agricultural University, Nanjing, 210031, China
【出 处】
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The Sixth Asian Conference on Precision Agriculture (第六届亚洲精准
论文部分内容阅读
In order to achieve real-time variables dressing in winter wheat jointing stage, the fertilizer quantity real-time adjustment algorithm based on fuzzy PID control was studied.In order to achieve the optimal control of fertilizer, the rotation speed and the opening of fertilizer apparatus were real-time adjusted online.With ITAE criterion as the fitness function, the initial value of the PID controller parameters were determined based on particle swarm optimization algorithm (PSO).The algorithm combined the traditional PID control with fuzzy algorithm by acquiring the real-time parameters, such as the crop canopy real-time spectral information (normalized differential vegetation index--NDVI), rotation speed and opening.The parameters of PID were set online and the rotation speed and the opening of fertilizer apparatus were real-time adjusted to achieve optimal control of variables dressing.Results showed that, the fuzzy PID had better dynamic stability and tracking performance.In the Laboratory tests, the maximum overshoot of rotation speed was about 11.96%, and the maximum overshoot of opening didnt exceed 14.94%,and the system precision could reach above 87%.In the field experiments, the maximum overshoot of rotation speed was about 12.80%, and the maximum overshoot of opening didnt exceed 14.79%,and the system precision could reach above 86%.The system has good stability, accuracy and rapidity and was able to satisfy the agriculture technical requirements.
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