scholarly journals Optimal Parameter Matching for Working Condition of Combine Harvester

2015 ◽  
Author(s):  
Min Liao ◽  
Qiang Wang ◽  
Huapei Zhang
Keyword(s):  
Working Condition ◽  
Optimal Parameter ◽  
Parameter Matching ◽  
Combine Harvester

A Design Procedure for Asymptotically Optimal Dynamic Compensators

1990 ◽  
Vol 112 (1) ◽  
pp. 10-16 ◽  
Author(s):  
Kiyotaka Shimizu ◽  
Masakazu Suzuki ◽  
Misao Kato
Keyword(s):  
Optimal Parameter ◽  
Design Method ◽  
Design Procedure ◽  
Pole Placement ◽  
Feedback Gain ◽  
Controlled System ◽  
Parameter Matching ◽  
One Step ◽  
Optimal Dynamic ◽  
Optimal Regulator

This paper is concerned with a design method for optimizing dynamic compensators of Pearson’s type. Optimal parameter matrices are obtained by use of a parameter matching technique and an arbitrary pole placement technique. The controlled system has the optimal LQ modes and the modes with arbitrarily quick damping. The presented compensator works as the optimal regulator with observer and performs about the same control as the optimal regulator. And it is designed not in two steps; observer, regulator, but in one step; optimization of output feedback gain without considering any state estimation.

Parameter Matching Analysis of Hydraulic Hybrid Bergepanzers Based on RBF-Adaptive Artificial Immune Algorithm

2019 ◽  
Vol 34 (01) ◽  
pp. 2059002 ◽  
Author(s):  
Chuming Ning ◽  
Zhiqiang Chao ◽  
Huaying Li ◽  
Shousong Han
Keyword(s):  
Parameter Optimization ◽  
Optimal Parameter ◽  
Minimum Energy ◽  
High Energy ◽  
Immune Algorithm ◽  
Artificial Immune ◽  
Matching Problem ◽  
Artificial Immune Algorithm ◽  
Hydraulic Hybrid ◽  
Parameter Matching

Due to the multiple types of support tasks and high-energy efficiency equipment, energy saving research in a Bergepanzer has attracted much attention in recent years. A hydraulic hybrid system is an effective way for these problems of Bergepanzers. The initial problem is to optimize the parameter optimization-matching for a new hydraulic hybrid Bergepanzers (NHHB), which is a relatively complex and variable time-varying nonlinear system. In this paper, an RBF-adaptive artificial immune algorithm (RBF&AAIA) is presented to solve the parameter optimization-matching problem, and the performance of algorithm is analyzed. Finally, the RBF&AAIA is successfully used for the NHHB to optimize the parameters of key components for the minimum energy consumption of system, and the optimal parameter matching group is obtained.

scholarly journals A Parameter Matching Method of the Parallel Hydraulic Hybrid Excavator Optimized with Genetic Algorithm

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Xiaoliang Lai ◽  
Cheng Guan
Keyword(s):  
Genetic Algorithm ◽  
Working Condition ◽  
System Structure ◽  
Matching Method ◽  
Storage Unit ◽  
Energy Storage Unit ◽  
Hydraulic Hybrid ◽  
Parameter Matching ◽  
Hybrid Excavator ◽  
Main Components

This paper proposed a parameter matching method based on the energy storage unit, the accumulator in the parallel hydraulic hybrid excavator (PHHE). The working condition, system structure, and control strategy of the excavator were all considered. It took the 20-ton series PHHE as the example and displayed the parameter matching course of the main components: engine, accumulator, and hydraulic secondary regulatory pump. Their installed powers were reduced after the matching course. Furthermore, the parameters of the PHHE system were optimized with the genetic algorithm to get the most suitable values for system initialization. By analyzing the simulation results, it could be concluded that the parameter matching method had an impressive improvement of the energy saving under the same working condition and brought obscure influence to the mechanism dynamics.

Prediction of Cleaning Loss of Combine Harvester Based on Neural Network

2019 ◽  
Vol 34 (07) ◽  
pp. 2059021
Author(s):  
Bo Li ◽  
Tingting Li ◽  
Qing Jiang ◽  
He Huang ◽  
Zhengyong Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Loss Rate ◽  
Working Condition ◽  
System Parameters ◽  
Cleaning System ◽  
Clean System ◽  
Combine Harvester ◽  
Indirect Relationship ◽  
The Relationship ◽  
Very High

This paper explores the performance and obtains a reasonable cleaning effect of the cleaning system of combine harvester and studies the relationship between the cleaning effect of the combine harvester cleaning system and its influencing factors. We established a neural network model between the cleaning loss rate and the clean system parameters. First, we tested the results of the cleaning performance of each group under different combinations of conditions, and analyzed the direct or indirect relationship between the cleaning loss rate and the parameters in the experiment under each working condition. Then, according to the experimental data obtained in the experiment, we predict the clearance loss rate for several sets of conditions by this model. The experimental results show that the prediction results of the model can meet the experimental requirements under the condition that the accuracy is not very high.

Design and Evaluation of Cyclone Separation Cleaning Devices Using a Conical Sieve for Rape Combine Harvesters

2018 ◽  
Vol 34 (4) ◽  
pp. 677-686 ◽  
Author(s):  
XingYu Wan ◽  
QingXi Liao ◽  
Yang Xu ◽  
JiaCheng Yuan ◽  
HaiTong Li
Keyword(s):  
Rotational Speed ◽  
Optimal Parameter ◽  
Cyclone Separator ◽  
Single Factor ◽  
Agricultural Engineering ◽  
Cleaning Performance ◽  
Orthogonal Experiments ◽  
Combine Harvester ◽  
Combine Harvesters ◽  
Parameter Values

Abstract. Cyclone separation cleaning devices and a conical sieve for a rape combine harvester were designed to address problems of vibration and the complexity of conventional combine harvesters with vibration sieves. The cyclone separation cleaning devices consisted of a blower, cyclone separator, pipe, fan and other components. The working processes were examined and an innovative mechanical system was designed. Both single-factor and orthogonal experiments were carried out to obtain optimal parameter values. Based on the single-factor experiments, the proper rotational speed of the conical sieve was 40-60 r/min and the proper airflow speeds of the cyclone separator for the inlet and outlet were 3-5 m/s and 24-28 m/s, respectively. From the orthogonal experiments, the cleaning performance was optimal when the rotational speed of the conical sieve was 40 r/min and the airflow speeds of the cyclone separator for the inlet and outlet were 3 m/s and 24 m/s, respectively. The optimal cleaning ratio and total loss ratio parameters were 88.99% and 4.86%, respectively. This research could provide a reference for the improvement of cleaning systems for rape combine harvesters. Keywords: Agricultural engineering, Cleaning, Combine harvester, Conical sieve, Cyclone separation, Rape.

The Application of CAN Bus in Monitoring and Controlling System for Combine Harvester

2010 ◽  
Vol 43 ◽  
pp. 366-370
Author(s):  
Jin Chen ◽  
Yue Lan Zheng ◽  
Yao Ming Li ◽  
Xin Hua Wei
Keyword(s):  
Decentralized Control ◽  
Working Condition ◽  
Can Bus ◽  
Arm Processor ◽  
Centralized Management ◽  
Controlling System ◽  
Optimum Working Condition ◽  
Combine Harvester ◽  
Upper Computer ◽  
Optimum Working

With ARM processor as upper computer and MCU as lower computers, a monitoring and controlling system for combine harvester is constructed in this paper. CAN bus is used here to realize decentralized control and centralized management. By monitoring and controlling running status of lower computers and relevant parameters through upper computer, the unit can work under an optimum working condition. Therefore, the unit’s work efficiency will be increased, and the fault rate will be reduced. Experiment shows that, upper computer can communicate with lower computers reliably. The expected goal is realized.

scholarly journals Emission Character Study on temperature Combustion Performance of Electronic Controlled Diesel Engine Mixed with Butanol

2019 ◽  
Vol 118 ◽  
pp. 02028
Author(s):  
Deng Hu ◽  
Zhaoxia Huang ◽  
Jialiang Huang ◽  
Tao Deng ◽  
Zi Xiao Ye ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Low Temperature ◽  
Fuel Injection ◽  
Optimal Parameter ◽  
Circulation Model ◽  
Simulation Software ◽  
Low Temperature Combustion ◽  
Parameter Matching ◽  
Temperature Combustion ◽  
Gas Recirculation

In this paper, through the electromechanical control modification of 4190 ZLC-2 diesel, the electronic fuel injection model is established by AMESim simulation software, and the high pressure circulation model of butanol/diesel dual fuel engine is established by AVL-FIRE software, the appropriate initial parameters module and corresponding boundary conditions are set. At the condition of low-temperature combustion through exhaust gas recirculation (EGR), in the optimization scheme studying the influence of butan blending ratio and EGR rate on diesel engine emissions. The result shows that the addition of butanol can improve the low temperature combustion, reducing the formation of CO and soot. The introduction of EGR can achieve low temperature combustion and significantly reduce NO emissions. The optimal parameter set for parameter matching is obtained: B20/EGR12.5 %.

Modelling and characteristics of hybrid coupling hydro-pneumatic suspension for a seven-axle vehicle

2020 ◽  
pp. 095440702098321
Author(s):  
Tian Wen-Peng ◽  
Dou Jian-Ming ◽  
Xu Xin-Xin
Keyword(s):  
Ant Colony Algorithm ◽  
Ride Comfort ◽  
Optimal Parameter ◽  
Structural Characteristics ◽  
Coupling Scheme ◽  
Surface Model ◽  
Joint Simulation ◽  
Hybrid Coupling ◽  
Parameter Matching ◽  
Pneumatic Suspension

A hybrid coupling scheme of parallel connection and contralateral cross-linking was proposed based on the characteristics of high centroid position and low rollover threshold on hydro-pneumatic suspension (HPS) for a seven-axle elevated platform vehicle. A dynamic model with 20 DOFs which can comprehensively reflect vehicle coupling vibration including vertical-lateral-longitudinal-transverse and the joint simulation model of Simulink and AMESim were established based on the structural characteristics of the vehicle. Furthermore, the random road surface model linking the wheels was constructed by filter shaping white noise. Based on the model of hybrid coupling HPS, the study of joint simulation and test on the whole vehicle were conducted, and improved ant colony algorithm (IACA) was applied to the multi-objective optimisation study of HPS parameter matching. The comparison between simulation and test data shows that the weighted acceleration PSD curve is in good agreement, and the relative error of weighted acceleration RMS is small, which indicated that the theoretical model was accurate. The results of simulation and testing show that the optimal parameter matching scheme output by IACA can improve vehicle ride comfort and stability to a significant extent.

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