Research on optimal parameter matching for electro-mechanical braking

2014 ◽  
Author(s):  
Qian Wu ◽  
Changle Xiang ◽  
Ma Yue
Keyword(s):  
Optimal Parameter ◽  
Parameter Matching

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 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.

Optimal parameter area for steel corrugated web beams

2020 ◽  
Vol 0 (7) ◽  
pp. 45-56
Author(s):  
Lyudmila Lavrinenko ◽  
Danylo Oliinyk
Keyword(s):  
Optimal Parameter ◽  
Corrugated Web

Modified algorithm for fast bandwidth selection for kernel estimates of multidimensional probability densities

2020 ◽  
pp. 9-13
Author(s):  
A. V. Lapko ◽  
V. A. Lapko
Keyword(s):  
Probability Density ◽  
Optimal Parameter ◽  
Random Variables ◽  
Kernel Functions ◽  
Independent Random Variables ◽  
Functional Dependencies ◽  
Approximation Properties ◽  
Probability Density Estimation ◽  
Multidimensional Probability ◽  
Selection Of

An original technique has been justified for the fast bandwidths selection of kernel functions in a nonparametric estimate of the multidimensional probability density of the Rosenblatt–Parzen type. The proposed method makes it possible to significantly increase the computational efficiency of the optimization procedure for kernel probability density estimates in the conditions of large-volume statistical data in comparison with traditional approaches. The basis of the proposed approach is the analysis of the optimal parameter formula for the bandwidths of a multidimensional kernel probability density estimate. Dependencies between the nonlinear functional on the probability density and its derivatives up to the second order inclusive of the antikurtosis coefficients of random variables are found. The bandwidths for each random variable are represented as the product of an undefined parameter and their mean square deviation. The influence of the error in restoring the established functional dependencies on the approximation properties of the kernel probability density estimation is determined. The obtained results are implemented as a method of synthesis and analysis of a fast bandwidths selection of the kernel estimation of the two-dimensional probability density of independent random variables. This method uses data on the quantitative characteristics of a family of lognormal distribution laws.

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