Aplikasi Kontrol Digital Untuk Pemupukan Secara Variable Rate Pada Sistem Pertanian Presisi

2019 ◽  
Vol 15 (3) ◽  
Author(s):  
Lamhot P. Manalu

Precision agriculture has many facets including guidance, yield mapping, variable rate application and remote sensing. Variable rate nitrogen fertilization is a technique being developed for fertilizer application in recent years. One of the main problems in variable rate nitrogen fertilization is controlling the fertilizer application rate according to the soil nitrate level. In this paper, a digital control system for variable rate nitrogen fertilization is presented. A pole-placement controller design based on the simplified process model is used in this system. The system dynamic response of the pole-placement controller was simulated under the condition with torque disturbance and the condition without torque disturbance. The digital controller was then implemented into a prototype system and the dynamic response of the control system was tested under different torque disturbance conditions. The control system performed at acceptable levels under small external torque disturbance conditions. However, under large torque disturbances, the steady-state offset error in the system response was not acceptable and the use of a robust controller for both tracking control and disturbance rejection was recommended. This paper presents a simulation of the use of digital control for variable rate fertilization The benefits of using variable rate technology are very clear. Low yielding areas of the field are no longer over fertilized resulting in reduction of costs in those areas.Pertanian presisi memiliki banyak aspek diantaranya pengukuran, pemetaan hasil, aplikasi laju tidak tetap dan penginderaan jarak jauh. Pemupukan nitrogen secara laju tidak tetap (variable rate) adalah teknik yang dikembangkan untuk aplikasi pemupukan dalam beberapa tahun terakhir. Salah satu masalah utama dalam pemupukan nitrogen secara laju tidak tetap yaitu mengontrol jumlah pemakaian pupuk agar sesuai dengan kandungan nitrat tanah. Tulisan ini menyajikan studi tentang aplikasi sistem kontrol digital untuk pemupukan nitrogen secara laju tidak tetap dalam kerangka pertanian presisi (precision farming). Sebuah desain kontroler tiang-penempatan didasarkan penyederhanaan modelnya digunakan dalam sistem ini. Sistem respon dinamik dari pengontrol tiang-penempatan disimulasikan pada kondisi dengan gangguan torsi dan kondisi tanpa gangguan torsi. Kontrol digital kemudian diimplementasikan ke dalam sistem prototipe dan respon dinamik dari sistem kontrol diuji di bawah kondisi gangguan torsi yang berbeda. Sistem kontrol dilakukan pada tingkat yang dapat diterima dalam kondisi gangguan torsi eksternal yang kecil. Namun, di bawah gangguan torsi besar, kondisi steady yang mengimbangi kesalahan dalam respon sistem tidak dapat diterima. Tulisan ini menyajikan simulasi penggunaan kontrol digital untuk pemupukan secara variable rate. Tujuan penggunaan teknologi variable rate adalah agar lokasi dengan produktivitas rendah tidak lagi dipupuk secara berlebihan sehingga mengurangi biaya.Keywords: fertilization, digital control, variable rate, precision farming.

Author(s):  
Q M Zhu ◽  
L Z Guo

In this study a control-oriented model is proposed to represent a wide range of non-linear discrete-time dynamic plants. As a testimony to the efficiency of the model structure for control system design, a pole placement controller is designed for non-linear discrete-time plants. Mathematically the solution of the controller output is converted into resolving a polynomial equation in the current control term u( t), which significantly reduces the difficulties encountered in non-linear control system synthesis and computational complexities. The integrated procedure provides a straightforward methodology to use in linear control system design techniques when designing non-linear control systems. For a demonstration of the effectiveness of the proposed methodology used to deal with practical problems, pole placement controllers are designed for three non-linear plants, including the Hammerstein model, a laboratory-scale liquid level system and a continuous stirred tank reactor. The simulation results are presented with graphical illustrations.


2013 ◽  
Vol 446-447 ◽  
pp. 1165-1170
Author(s):  
Shu Yuan Ma ◽  
Bdran Sameh ◽  
Saifullah Samo ◽  
Aymn Bary

In this paper, the CVT shifting control system based on vehicle operating conditions is modeled and simulated using MATLAB/SIMULINK. The modeling stage begins with the derivation of required mathematical model to illustrate the CVT shifting control system. Then, Linear Quadratic Gaussian (LQG), Proportional- Integrated-Derivative (PID) and Pole Placement are applied for controlling the shifting speed ratio of the modeled CVT shifting system. Simulation results of shifting controllers are presented in time domain and the results obtained with LQG are compared with the results of PID and Pole placement technique. Finally, the performances of shifting speed ratio controller systems are analyzed in order to choose which control method offers the better performance with respect to the desired speed ratio. According to simulation results, the LQG controller delivers better performance than PID and Pole Placement controller.


Author(s):  
V. Sethi ◽  
G. Song

This paper concerns active vibration control of a 3.35 meter long composite I-beam that is used in civil structures in a cantilevered configuration by using peizoceramics materials, in particular the PZT (Lead Zirconate Titanate), in the form of patches. These PZT patches are surface-bonded on the I-beam and perform as actuators and sensors. A real-time data acquisition and control system is used to record the experimental data and to implement controllers. To assist control system design, open loop testing and system identification are conducted. A Pole Placement controller is designed and is simulated using the identified model. Simulations show the dramatic increase in damping of the beams which when implemented experimentally corroborates the simulation results. Experimental results verify the simulated results and demonstrate the effectiveness of active control of a civil structure using smart materials.


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