scholarly journals PID Control Algorithm Based on Hydraulic Oil Viscosity for the Proportional Valve of the Planting Depth Control System

2020 ◽  
Author(s):  
Md. Abu Ayub Siddique ◽  
Wan-Soo Kim ◽  
Yeon-Soo Kim ◽  
Taek-Jin Kim ◽  
Chang-Hyun Choi ◽  
...  
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Power Flow ◽  
Maximum Pressure ◽  
Oil Viscosity ◽  
Temperature Dependent Viscosity ◽  
Proportional Valve ◽  
Planting Depth ◽  
Depth Control

This study was conducted to develop a PID control algorithm considering viscosity for the planting depth control system of a rice transplanter using various hydraulic oils at different temperatures and to evaluate the performance of the control algorithm, and compare the performance of the PID control algorithm without considering viscosity and considering viscosity. In this study, the simulation model of the planting depth control system and a PID control algorithm were developed based on the power flow of the rice transplanter (ERP60DS). The primary PID coefficients were determined using the Ziegler–Nichols (Z–N) second method. Routh’s stability criteria were applied to optimize the coefficients. The pole and double zero points of the PID controller were also applied to minimize the sustained oscillations of the responses. The performance of the PID control algorithm was evaluated for three ISO (The International Organization for Standardization) standard viscosity grade (VG) hydraulic oils (VG 32, 46, and 68). The results show that the control algorithm considering viscosity is able to control the pressure of the proportional valve, which is associated with the actuator displacement for various types of hydraulic oils. It was noticed that the maximum pressure was 15.405 bars at 0, 20, 40, 60, 80, and 100 ℃ for all of the hydraulic oils. The settling time and steady-state errors were 0.45 s at 100 ℃ for VG 32, and 0% for all of the conditions. The maximum overshoots were found to be 17.50% at 100 ℃ for VG 32. On the other hand, the PID control algorithm without considering viscosity could not control the planting depth, because the response was slow and did not satisfy the boundary conditions. The PID control algorithm considering viscosity could sufficiently compensate for the nonlinearity of the hydraulic system and was able to perform for any of temperature-dependent viscosity of the hydraulic oils. In addition, the rice transplanter requires a faster response for accurately controlling and maintaining the planting depth. Planting depth is highly associated with actuator displacement. Finally, this control algorithm considering viscosity could be helpful in minimizing the tilting of the seedlings planted using the rice transplanter. Ultimately, it would improve the transplanter performance.

scholarly journals Effects of Temperatures and Viscosity of the Hydraulic Oils on the Proportional Valve for a Rice Transplanter Based on PID Control Algorithm

Agriculture ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 73 ◽  
Author(s):  
Md. Abu Ayub Siddique ◽  
Wan-Soo Kim ◽  
Yeon-Soo Kim ◽  
Taek-Jin Kim ◽  
Chang-Hyun Choi ◽  
...  
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Power Flow ◽  
Maximum Pressure ◽  
Temperature Dependent Viscosity ◽  
Proportional Valve ◽  
Planting Depth ◽  
Response Characteristics ◽  
Depth Control

This study was conducted to develop a proportional-integral-derivative (PID) control algorithm considering viscosity for the planting depth control system of a rice transplanter using various hydraulic oils at different temperatures and to evaluate the performance of the control algorithm, and compare the performance of the PID control algorithm without considering viscosity and considering viscosity. In this study, the simulation model of the planting depth control system and a PID control algorithm were developed based on the power flow of the rice transplanter (ERP60DS). The primary PID coefficients were determined using the Ziegler-Nichols (Z-N) second method. Routh’s stability criteria were applied to optimize the coefficients. The pole and double zero points of the PID controller were also applied to minimize the sustained oscillations of the responses. The performance of the PID control algorithm was evaluated for three ISO (The International Organization for Standardization) standard viscosity grade (VG) hydraulic oils (VG 32, 46, and 68). The response characteristics were analyzed using statistical method (ANOVA) and Duncan’s multiple range test (DMRT) at a significant level of 0.05 were performed through the statistical software SPSS. The results show that the control algorithm considering viscosity is able to control the pressure of the proportional valve, which is associated with the actuator displacement for various types of hydraulic oils. It was noticed that the maximum pressure was 15.405 bars at 0, 20, 40, 60, 80, and 100 °C for all of the hydraulic oils. The settling time and steady-state errors were 0.45 s at 100 °C for VG 32 and 0% for all of the conditions. The maximum overshoots were found to be 17.50% at 100 °C for VG 32. On the other hand, the PID control algorithm without considering viscosity could not control the planting depth, because the response was slow and did not satisfy the boundary conditions. The PID control algorithm considering viscosity could sufficiently compensate for the nonlinearity of the hydraulic system and was able to perform for any of temperature-dependent viscosity of the hydraulic oils. In addition, the rice transplanter requires a faster response for accurately controlling and maintaining the planting depth. Planting depth is highly associated with actuator displacement. Finally, this control algorithm considering viscosity could be helpful in minimizing the tilting of the seedlings planted using the rice transplanter. Ultimately, it would improve the transplanter performance.

Excitation Liquid-Cooled Retarder Control System Design Based on MC9SXS128

2014 ◽  
Vol 525 ◽  
pp. 583-587
Author(s):  
Bing Tu ◽  
Wei Zhang ◽  
Teng Xi Zhan
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Good Control ◽  
Control Performance ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Application Requirements

This paper presented a excitation liquid-cooled retarder control system based on a microprocessor MC9SXS128. In order to achieve the constant speed, It used PWM to adjust the output current of excitation liquid-cooled retarder. It analyzed and calculated the inductance value in PWM output circuit and also analyzed the excitation liquid-cooled retarder control systematical mathematical model . It divided the brake stalls based on the current flowing through the field coil. by adding the PID closed-loop control system, the retarder could quickly reach the set speed. It tested the PID control algorithm at the experiments in retarder drum test rig and the results show that the control algorithm has good control performance to meet the application requirements.

scholarly journals A Compound Control System for FR4-Based Electromagnetic Scanning Micrograting

Electronics ◽  
2019 ◽  
Vol 8 (7) ◽  
pp. 770
Author(s):  
Fan Yu ◽  
Quan Wen ◽  
Hongjie Lei ◽  
Liangkun Huang ◽  
Zhiyu Wen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Current Loop ◽  
Term Stability ◽  
Long Term Stability ◽  
Compound Control ◽  
Electromagnetic Scanning ◽  
Frequency Controller

This paper presents a compound control system for precise control of the flame-retardant 4 (FR4)-based electromagnetic scanning micrograting. It mainly consists of a frequency controller and an angle controller. A dual closed-loop structure consisting of a current loop and an angle loop was designed in the angle controller. In addition, the incremental proportional–integral–derivative (PID) control algorithm was designed in the current loop, and the fuzzy-PID control algorithm was employed in the angle loop. From the experimental results, the frequency controller can effectively track the real-time resonant frequency of the scanning micrograting with a tracking accuracy of 0.1 Hz. The overshoot of the scanning micrograting is eliminated. Compared to an open-loop control system, the control system presented in this work reduces the steady-state error of the scanning micrograting from 1.122% to 0.243%. The control accuracy of the compound control system is 0.02°. The anti-interference recovery time of the scanning micrograting was reduced from 550 ms to 181 ms, and the long-term stability was increased from 2.94% to 0.12%. In the compound control system presented in this paper, the crucial parameters of the FR4-based electromagnetic scanning micrograting, including motion accuracy, anti-interference ability, and long-term stability, were effectively improved.

Design of the Temperature Control System of the Giant Magnetostrictive Actuator

2012 ◽  
Vol 482-484 ◽  
pp. 2600-2604
Author(s):  
Fan Zeng ◽  
Jing Jun Lou ◽  
Shi Jian Zhu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Temperature Sensor ◽  
Control Algorithm ◽  
Temperature Control System ◽  
Plate Temperature ◽  
Magnetostrictive Actuator

Semiconductor refrigeration plate, temperature sensor, microcontroller STC12C5410AD and other circuits are used to design a new kind of temperature control system of the giant magnetostrictive actuator. Semiconductor refrigeration plate is controlled by the PID control algorithm for temperature controlling automatically.

Study of PID Control Algorithm Based on the Critical Ratio Method

2014 ◽  
Vol 494-495 ◽  
pp. 1246-1248
Author(s):  
Wen Bin Wang ◽  
Dao Yuan Liu ◽  
Yu Qin Yao
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Industrial Process ◽  
Parameter Tuning ◽  
Ratio Method ◽  
Critical Ratio ◽  
Control Performance ◽  
Core Content ◽  
Tuning Pid Parameters

PID control is one of the earliest control strategy and till has the most widely use in the industrial process at the present. The PID parameter tuning and optimizing decide what the control performance of the control system can achieve. PID parameter tuning is the core content in control system design. In this paper, aiming at the complexity of PID parameter tuning process, the critical ratio method was optimized and propose a simple and effective method of tuning PID parameters. By simulation, this method turn out to be simple and effective, good real-time performance.

Design and Implementation of Intelligent Control System for Infrared Shrink Film Machine

2014 ◽  
Vol 532 ◽  
pp. 204-207
Author(s):  
Jiang Zhao ◽  
Wei Ke Fei ◽  
Chong Qing Hao ◽  
Ying Zhang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Control Algorithm ◽  
Physical Simulation ◽  
Simulation System ◽  
Infrared Heating ◽  
Control Effect ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Adaptive Pid Control

In order to study the control problem of infrared heating shrinkage machine, i.e. Large delay,nonlinearity of the control system, one type of the basic organization and simulation principle of the hardw-in-the-loop simulation system are presented in the given paper, and the simulation model of infrared heating shrinkage machine is discussed. Aiming to solve the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed. The object can be better online controlled and adjusted after the algorithm has been applied, meanwhile the requirement of accuracy and reliability will be improved, and quite a lot debugging time will be saved.The results show that the system basically satisfies the technical requirements and provides a good experimental platform.The study is provided with great significance for the realization of the semi-physical simulation system.

Research of the Welding Wire Sending System Based on Fuzzy Adaptive-Adjusting PID Control

2011 ◽  
Vol 271-273 ◽  
pp. 983-986
Author(s):  
Ren He Zhen
Keyword(s):  
Control System ◽  
Dynamic Behavior ◽  
Pid Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Welding Wire ◽  
Static Behavior ◽  
Adjustment System ◽  
Speed Adjustment ◽  
Fuzzy Adaptive

This article employs single closed loop of voltage negative feedback circle to explore the welding wire sending system of arc welder, as the system of this style has the feature of rough sending and poor dynamic behavior. A double closed loop PWM digit speed adjustment system is proposed based on fussy adaptive-adjusting PID control algorithm. The experiment result indicates that this control system not only has a sound dynamic behavior and static behavior but also has a strong self-adapting behavior, and mostly eliminates the arc flutter made by the rough welding wire sending system.

Oil Temperature Control System PID Controller Algorithm Analysis Research on Sliding Gear Reducer

2014 ◽  
Vol 621 ◽  
pp. 357-364
Author(s):  
Yong Mei Wang ◽  
Xi Gui Wang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Algorithm ◽  
High Reliability ◽  
Algorithm Analysis ◽  
Temperature Control System ◽  
Control Technology ◽  
Widespread Application ◽  
Digital Pid

With the development of computer technology, communication technology, electronic technology and automatic control technology, computer control technology widespread application, has been widely used in iron and steel, petroleum, chemical, electric power, building materials, machinery manufacturing, automotive, textile, transportation and other industries. Controlled by computer, we can realize the control of high reliability, process visualization, remote monitoring, data storage and processing. The simulation of PID control algorithm, and focuses on the study and analysis of the digital PID control algorithm, the marine gear lube oil temperature control system model, the three parameters of digital PID: proportional coefficient, integral constant, differential constant on the control system performance was also analyzed.

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