Hydraulic Leveling Technology for Electro-Hydraulic Proportional Control Based on Fuzzy PID

2014 ◽  
Vol 551 ◽  
pp. 503-508 ◽  
Author(s):  
Tian Xiang Gao ◽  
Qiang Gao ◽  
Yan Li

In modern military and civil technologies, platforms with equipment on them are often needed to be adjusted to horizontal position rapidly and precisely and keep the platforms stable at the same time. Most leveling systems are implemented with hydraulic system, and they are time-variant nonlinear systems. To leveling both rapidly and steadily with required precision, a PID control strategy based on fuzzy theory was proposed. Electro-hydraulic proportional valve control hydraulic system model was created and analyzed, transfer function of hydraulic legs was obtained and fuzzy PID controller was created in this paper. The proposed method is simulated in Simulink. The simulation result shows that fuzzy PID controller can adjust the platform to horizontal position rapidly and steadily, and improve system performance.

2012 ◽  
Vol 490-495 ◽  
pp. 277-282
Author(s):  
Jian Shu Gao ◽  
Yong Qi Zou

According to the characteristic of the snow-melting agent spreading truck that the spreading measurement is maintaining unchanged when it's in the operation process. We designed the rotate speed system controlled by the method of electro-hydraulic proportional control. With the nonlinearity and time-varying of the controlled system, we applied the method of Fuzzy-PID control to conduct the study of electro-hydraulic proportional speed system. By the simulation of MATLAB/SIMULINK, the results shows the dynamic property of the system gets obviously improved with using the Fuzzy-PID controller and verifies the effectiveness and practical applicability of this design.


2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.


Author(s):  
Bambang Sumantri ◽  
Eko Henfri Binugroho ◽  
Ilham Mandala Putra ◽  
Rika Rokhana

The two-wheeled electric skateboard (TWS) is designed for a personal vehicle. A Fuzzy-PID control strategy is designed and implemented for controlling its motion. Basically, motions control of the TWS is performed by balancing the pitch position of the TWS. Performance of the designed controller is demonstrated experimentally. The Fuzzy algorithm updates the PID gains and therefore it can handle the changing of the TWS load. Contribution of Fuzzy-PID in reducing the electric energy consumption, which is an important issue in electrical system, is also evaluated. The Fuzzy-PID successes to reduce the electric energy consumption of the TWS compared to the conventional PID.


2013 ◽  
Vol 310 ◽  
pp. 518-523
Author(s):  
Zhi Qiang Chao ◽  
Xin Ze Li ◽  
Ai Hong Meng

In recent years, hydraulic simulation has become an important means to research hydraulic system, in order to enable the single degree platform vibration curve with better traceability and reach the requirement of the test, this paper represent single degree system platform stimulated by simulation software AMESim, taking the Single degree freedom vibration hydraulic system as an example, MATlab/simulink is applied to the design of the vibration platform system fuzzy PID controller. Through the comparison between the simulation test and traditional PID controller, the designed self-tuning fuzzy controller can control the platform better, with smaller overshoot, faster response, shorter adjusting time, as well as fulfill the permissible accuracy.


2012 ◽  
Vol 220-223 ◽  
pp. 402-405
Author(s):  
Li Hong Dong

According to the nonlinearity and time-variation of the positioning control in hydraulic system, a kind of Hybrid Fuzzy-PID Controller with Coupled Rules (HFPIDCR) is proposed. In this control system, the bulk modulus is considered as a variable. The novelty of this controller is to combine the fuzzy logic and PID controllers in a switching condition. Simulation results of the HFPIDCR are compared with the results of traditional PID, Fuzzy Logic Controller (FLC), and Hybrid Fuzzy-PID Controller (HFPID). It is demonstrated that the HFPIDCR has fast response, short adjustment time, high control precision and other advantages, and it can meet the requirements of the positioning control in hydraulic system.


2012 ◽  
Vol 220-223 ◽  
pp. 1258-1261
Author(s):  
Li Hong Wang

PID control is adopted in traditional DC speed regulating system. In start process the current super adjustment value is big. When adding load perturbation and voltage perturbation suddenly, its dynamic state function will be decended. Aimming at this problem, a kind of improved system was put forward. The speed modulator used fuzzy PID controller, according to e and ec, the parameters of the modulator can be modified on line. The current modulator adopted integral separable PID control method. The simulation results indicated that the improved system has better dynamic state function and anti- Rao function. Particularly the start current wave closes to the ideal rectangle wave more. So the responding speed of the system can be sped.


2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.


2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.


2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.


2012 ◽  
Vol 433-440 ◽  
pp. 5733-5738
Author(s):  
Jie Dong

As the improvement of the modern workshop’s demand for cool supply, heating system, how to effectively manage the air-conditioning equipments to satisfy the production skills for air-conditioning system has become an important subject for modern workshop design. This paper comes from the No.1 motorcar company’s project about the automatic air-conditioning system of the car spray-paint workshop. For many reasons, the conventional PID control is difficult to satisfy the car spray-paint production’s strictly demands of the temperature, after a careful research of the object, we utilize the principle of fuzzy PID adaptive control to design a fuzzy PID controller, then put it into the air-conditioning heater’s controlling, through the practice, we find the controller has a good robust property and realized a good control result.


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