Automatic Temperature Control System on Smart Poultry Farm Using PID Method

Enriko, Agung; Putra, Ryan Anugrah; Estananto, Estananto

doi:10.53623/gisa.v1i1.40

Cited by 12 publications

(6 citation statements)

References 12 publications

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“…𝑇𝑇 ⋅ 𝑘𝑘 (13) where T denotes the sampling period and S is the total number of samples. The simulation study also includes an investigation of the effect of load disturbances 𝑣𝑣(𝑘𝑘) and Gaussian white noise 𝜀𝜀(𝑘𝑘) [16] on the close loop control systems employing PID controller.…”

Section: Mathematical Model and Controlmentioning

confidence: 99%

“…In its applications, the PID controller has been applied to many systems. The author in [12] applied the PID controller in the development of a hot air dryer for automotive tampo printing parts, and the author in [13] applied the PID control for automatic temperature control system on a smart poultry farm. The more advanced application of PID control using an advanced method has also been presented by so many researchers.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Study on Setpoint Tracking Performance of the PID SISO and MIMO Under Noise and Disturbance for Nonlinear Time-Delay Dynamic Systems

Rospawan

Yang

Chen

et al. 2022

Green Intell. Syst. Appl.

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This paper presents a case study of the setpoint tracking performance of the proportional integral derivative (PID) controller on the Single-Input Single-Output (SISO) and Multi-Input Multi-Output (MIMO) nonlinear digital plants under Gaussian white noise and constant load disturbance for the nonlinear time-delay dynamic system. With the objective of getting a better understanding of the nonlinear discrete-time PID controller, we proposed a case study using two SISO and two MIMO digital plants, and then do the numerical simulations along with the addition of Gaussian white noise and load disturbance to simulate the real environment. In this paper, we compare the results of the system working with and without noise and load disturbance. The study result of this paper shows that on the discrete-time digital nonlinear plant, the PID controller is working well to follow the nonlinear setpoint even under heavy noise and load disturbance. The study compared the performance indexes of the controllers in terms of the maximum error, the Root mean square error (RMSE), the Integral square error (ISE), the Integral absolute error (IAE), and the Integral of time-weighted absolute error (ITAE).

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Section: Mathematical Model and Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Study on Setpoint Tracking Performance of the PID SISO and MIMO Under Noise and Disturbance for Nonlinear Time-Delay Dynamic Systems

Rospawan

Yang

Chen

et al. 2022

Green Intell. Syst. Appl.

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“…In recent years, fuzzy control has been proven to have good performance in the field of control and has gradually been used in temperature control [22,23], wind speed control [24], predictive control [25], and other issues. Therefore, this paper calculates the coupling relationship between ventilation and temperature and humidity changes on the basis of accurate environmental prediction [26], combined with fuzzy control and direct control methods [27,28], using the predicted value, detected value, and set value of environmental factors as input and the control time of the corresponding actuator as output in order to realize predictive control of the pigsty environment.…”

Section: Introductionmentioning

confidence: 99%

Research on Predictive Control Method of Pigsty Environment Based on Fuzzy Control

Zhu,

Zhang,

Zhang

et al. 2024

Agriculture

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At present, most of the environmental control systems of pigsties use direct control methods; when factors, such as temperature and humidity, exceed the set threshold value, the corresponding actuator is turned on for regulation. However, such methods have problems such as low control accuracy, high energy consumption, and untimeliness. In order to save on energy consumption and improve control accuracy, this paper takes the predicted value, set value, and current detection value of the internal environment of a pigsty as input, and combines fuzzy control and direct control methods to realize the predictive control of the pigsty environment. The test results show that, compared with the direct control method, the fuzzy predictive control method can make fluctuations in the internal temperature and humidity of the pigsty less close to the set threshold value, while the ammonia concentration hardly exceeds the set threshold value. The results show that predictive control can more accurately control the internal environment of the pigsty and reduce energy costs by about 20%. Therefore, this method can provide scientific and effective environmental control methods for agricultural production processes, such as livestock breeding and greenhouse cultivation, in semi-confined spaces.

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“…Broiler chicken is a type of chicken with swift growth, widely used to meet the community's needs as animal food is consumed daily [1]. In Indonesia, broiler chickens can be harvested within 30 to 35 days with a weight of 2.2 kg, so they are in great demand by the public for cultivation.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Government Assistance for Stators-tech Equipment at Broiler Chicken Closed Houses in Palopo City Indonesia

Harahap,

Widodo,

Sutanto

et al. 2023

BIO Web Conf.

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In closed-house enclosures with various sensors, air quality parameters are sometimes not monitored regularly, especially during colder weather. Standard provisions are often not considered because reducing operating costs is cheaper. To produce these parameters, special efforts are needed to ensure temperature, relative humidity control, and simultaneous release of NH3 and CO2 gases. The cost of broiler chicken production reaches 70% from feed, so high feed use reduces farmer income. To help farmers reduce production costs, the Palopo Government provides equipment rocks to broiler chicken farmers as stators-tech tools, an element of wind speed in the cage. Data was collected directly from blower speed measurements produced by stators-tech and weighing body weight growth during maintenance. The results obtained by farmers using stator-tech control tools assisted by the Palopo City Government showed very significant results by getting an IP score of 505 (prime) because the effect of strong winds from blowers can be reduced by the tool, even though the mortality rate is 3.65%.

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Automatic Temperature Control System on Smart Poultry Farm Using PID Method

Cited by 12 publications

References 12 publications

Study on Setpoint Tracking Performance of the PID SISO and MIMO Under Noise and Disturbance for Nonlinear Time-Delay Dynamic Systems

Study on Setpoint Tracking Performance of the PID SISO and MIMO Under Noise and Disturbance for Nonlinear Time-Delay Dynamic Systems

Research on Predictive Control Method of Pigsty Environment Based on Fuzzy Control

Implementation of Government Assistance for Stators-tech Equipment at Broiler Chicken Closed Houses in Palopo City Indonesia

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