Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications

Fabula, Jonathan V.; Sharda, Ajay; Mishler, B.

doi:10.1007/s11119-022-09903-5

Cited by 3 publications

(4 citation statements)

References 13 publications

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“…( 1) Each artificial fish school retains only the current position without any additional information, which favors global search. (2) The movement distance of artificial fish is influenced by the step size, while other algorithms (such as PSO, FA, etc.) are not constrained by the movement length, which makes the convergence speed of the artificial fish swarm algorithm slow and avoids premature convergence, providing a basis for switching to the BP algorithm in the future.…”

Section: Fnn Cooperative Controller Based On the Afsa-bp Algorithmmentioning

confidence: 99%

“…As the main spraying machine in the field plant protection process, large highclearance sprayers play an indispensable role in agricultural production. With the developing trend of efficient and intelligent agricultural machinery production, large highclearance sprayers are increasingly being widely used because of their strong environmental adaptability and high operating efficiency [1,2]. The core working conditions of large highclearance sprayers, i.e., sensitivity to pesticide application and bumps experienced during road transportation to fields, lead to a contradiction between field driving safety and ride comfort, which cannot be solved by passive suspension based on tire damping or traditional semi-active suspension based on air spring damping.…”

Section: Introductionmentioning

confidence: 99%

“…Based on this, considering the advantages of slow convergence speed and low dependence on the initial values of the AFSA, this paper innovatively introduces the AFSA in the optimization of an FNN as follows. (1) Actual road surface information in the field was collected and a Kalman filter vehicle body state observer was constructed; (2) taking the actual road information as the input, the variable universe T-S fuzzy control method based on the AFSA-BP algorithm to optimize the FNN cooperative controller was studied, and an active HPS controller based on the actual working environment was established to verify the advantages of introducing the AFSA into the controller; and (3) the effect of the controller was verified through a simulation of typical working conditions and a real vehicle test.…”

Section: Introductionmentioning

confidence: 99%

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Research on a Variable Universe Control Method and the Performance of Large Sprayer Active Suspension Based on an Artificial Fish Swarm Algorithm–Back Propagation Fuzzy Neural Network

Yang,

Liu,

Zhang

et al. 2024

Agriculture

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In view of the typical requirements of large high-clearance sprayers, such as those operating in poor road conditions for farmland plant protection and at high operation speeds, reducing the vibration of sprayer suspension systems has become a research hotspot. In this study, the hydro-pneumatic suspension (HPS) of large high-clearance sprayers was taken as the object, and a variable universe T-S fuzzy controller with real vehicle vibration data as input was proposed to control suspension motion in real time. Different from traditional semi-active suspension, based on the characteristics of variable universe extension factors, a training method combining the artificial fish swarm algorithm and the back propagation algorithm was used to establish a fuzzy neural network controller with precise input to optimize the variable universe. Then, the time-domain and frequency-domain response characteristics of HPS were analyzed by simulating the special road conditions typical of farmland. Finally, the field performance of the sprayer equipped with the new controller was tested. The results show that the error rate of the AFSA-BP algorithm in training the FNN could be reduced to 3.9%, and compared with a passive suspension system, the T-S fuzzy controller improved the effects of spring mass acceleration, pitch angle acceleration, and roll angle acceleration by 18.3%, 23.3%, and 27.7%, respectively, verifying the effectiveness and engineering practicality of the active controller in this study.

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Section: Fnn Cooperative Controller Based On the Afsa-bp Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Research on a Variable Universe Control Method and the Performance of Large Sprayer Active Suspension Based on an Artificial Fish Swarm Algorithm–Back Propagation Fuzzy Neural Network

Yang,

Liu,

Zhang

et al. 2024

Agriculture

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“…Но в практических условиях наличие вариабельных уклонов на обрабатываемых полях не позволяет опрыскивающим агрегатам работать с неизменной рабочей скоростью [18]. Кроме того, скорость поступательного перемещения распылителей изменяется по ширине захвата штанги опрыскивателя при перемещении агрегата по криволинейным участкам поля, что также сказывается на качестве нанесения рабочей жидкости на растения 5 [19]. Следовательно, для каждого значения переменной скорости движения агрегата должны быть свои оптимальные углы наклона к вертикали факелов распыла.…”

Section: обзор литературыunclassified

Optimization of Parameters of Adaptive Spray System for Agricultural Sprayer

Gureev,

Nuralin,

Mukhtarov

et al. 2024

Engineering Technologies and Systems

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Introduction. When growing tall-growth crops (cereal crops in late the phases of development, corn, sunflower, etc.), there are used boom sprayers equipped with twin-fluid spray cones with fixed angles of inclination to the vertical of the spray cones. The working fluid is applied with such sprays are more intensively on the front side of the plant leaves while the intensity of covering the plants from the back side with the working fluid decreases. The development of the spray system will allow improving the quality of crop treatment with boom sprayers. Aim of the Study. The aim of the research is to determine experimentally the algorithm for changing the angles of inclination of a twin-fluid spray cone that provides the same intensity of applying working liquid to the leaves of high-growth plants. Materials and Methods. The research was carried out on a test bench by applying colored water to the front and rear sides of a tall-growth plant model moving at a specified speed. The experiment was carried out according to the method of optimal planning. The difference between the content of droplets on the front and rear sides of the tall-growth plant model was taken as an optimization parameter. Variable factors were the spray cone inclination angles and the operating speed of the sprayer. Results. The algorithm for changing the optimum values of the spray cone inclination angles depending on the sprayer speed was determined based on the equality of the first derivative of the optimization to zero parameter by the value of these angles. Discussion and Conclusion. According to the algorithm, when the sprayer operating speed increases from 1.2 to 3.2 m/s, the optimal angle of inclination to the front spray cone vertical changes linearly from 25 to 21 degrees, and the rear one ‒ from 46.7 to 57 degrees. This algorithm will allow justifying the technical specifications to develop a processor for automatic control of the spray cone inclination angles cones when the sprayer is operating.

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Development of an energy-saving PWM driving method for precision pesticide application using adjustable frequency and characterization of spray

Han,

Wang,

2024

Computers and Electronics in Agriculture

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Quantification of self-propelled sprayers turn compensation feature utilization and advantages during on-farm applications

Cited by 3 publications

References 13 publications

Research on a Variable Universe Control Method and the Performance of Large Sprayer Active Suspension Based on an Artificial Fish Swarm Algorithm–Back Propagation Fuzzy Neural Network

Research on a Variable Universe Control Method and the Performance of Large Sprayer Active Suspension Based on an Artificial Fish Swarm Algorithm–Back Propagation Fuzzy Neural Network

Optimization of Parameters of Adaptive Spray System for Agricultural Sprayer

Development of an energy-saving PWM driving method for precision pesticide application using adjustable frequency and characterization of spray

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