Dynamic Optimization Design of Sand Milling Collection Machinery Suspensions

2014 ◽  
Vol 536-537 ◽  
pp. 1314-1320
Author(s):  
Hao Hu ◽  
Xiao Feng ◽  
Shi Qiu ◽  
Dan Yang ◽  
Zhong Kai Chen ◽  
...  
Keyword(s):  
Optimization Design ◽  
Surface Soil ◽  
Ride Comfort ◽  
Lagrange Equation ◽  
State Equation ◽  
Suspension System ◽  
Driving Safety ◽  
Rule Change ◽  
Milling Machines ◽  
Set Up

Sand milling collection machinery is a kind of large machinery to collect the surface soil containing ores. The suspension system of milling machines directly affects the ride comfort and driving safety for the operator; for this end, the design of suspension system has been optimized so as to satisfy the requirements of reliability and comfort by making the console and operator set at the maximum station and minimum absolute acceleration and the amplitude within the range. This paper first established a suspension system model of milling collection machines and set up the state equation of suspension system by applying Lagrange equation. On this basis, this paper conducted the optimized calculation encouraged bt the pavement with sine rule change and obtained an optimal suspension system parameters ki and ci.

scholarly journals Research and Improvement of the Hydraulic Suspension System for a Heavy Hydraulic Transport Vehicle

2020 ◽  
Vol 10 (15) ◽  
pp. 5220 ◽  
Author(s):  
Jianjun Wang ◽  
Jingyi Zhao ◽  
Wenlei Li ◽  
Xing Jia ◽  
Peng Wei
Keyword(s):  
Mathematical Model ◽  
Nonlinear System ◽  
Ride Comfort ◽  
Impact Force ◽  
Suspension System ◽  
Experimental Results ◽  
Hydraulic Transport ◽  
Transport Vehicle ◽  
Set Up ◽  
The Impact

In order to ensure the ride comfort of a hydraulic transport vehicle in transportation, it is important to account for the effects of the suspension system. In this paper, an improved hydraulic suspension system based on a reasonable setting of the accumulator was proposed for a heavy hydraulic transport vehicle. The hydraulic transport vehicle was a multi-degree nonlinear system, and the establishment of an appropriate vehicle dynamical model was the basis for the improvement of the hydraulic suspension system. The hydraulic suspension system was analyzed, and a mathematical model of the hydraulic suspension system with accumulator established and then analyzed. The results revealed that installing the appropriate accumulator can absorb the impact pressure on the vehicle, while a hydraulic suspension system with an accumulator can be designed. Further, it was proved that a reasonable setting for the accumulator can reduce the impact force on the transport vehicle through simulation, and the optimal accumulator parameters can be obtained. Finally, an experiment in the field was set up and carried out, and the experimental results presented to prove the viability of the proposed method.

Automobile Active Suspension System Optimization Design Based on Modified Multi-Objective Genetic Algorithm

2012 ◽  
Vol 157-158 ◽  
pp. 1515-1518 ◽  
Author(s):  
Yi Zhang ◽  
Chao Lu ◽  
Hu Zhang
Keyword(s):  
Objective Function ◽  
High Dimension ◽  
Optimization Design ◽  
Single Point ◽  
Active Suspension ◽  
System Optimization ◽  
Suspension System ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Set Up

A dynamic model of automobile active suspension system is established, based on which a high dimension objective model for active suspension system is set up. And through linear combinations, high dimension multi-objective function is translated into a low dimension objective function. The modified NSGAII with single point compound crossover has been adopted to realize the optimization. In the paper, the performance active suspension system can realize integrated optimization. The results show that this way can effectively enhance effect of the automobile active suspension system.

scholarly journals Multiobjective Optimization of Nonlinear Active Suspension System with Time-Delayed Feedback

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Su-Juan Shao ◽  
Dong Jing ◽  
Chuan-Bo Ren
Keyword(s):  
Time Delay ◽  
Multiobjective Optimization ◽  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Function Optimization ◽  
Driving Safety ◽  
Optimal Time ◽  
Feedback Parameter ◽  
The Stability

Considering the nonlinear properties of spring and damping of suspension, a quarter-car model with time-delayed control is established. The Routh–Hurwitz stability criterion and stability switching method are used to analyze the stability of the system and obtain the stability region diagram. The multiobjective optimization function is established by considering the ride comfort, driving safety, and handling stability. The optimal control parameters are obtained by the optimization and simulation of the system under harmonic excitation and random excitation. In addition, the responses of the active suspension system with optimal time-delay control and the passive suspension system without control are compared. The results show that the active suspension system with time-delay displacement feedback control can reduce the vibration of the system, and there is an optimal feedback parameter combination to optimize the vehicle running state. The design of multiobjective function optimization proposed in this paper can improve ride comfort, driving safety, and handling stability and provide guidance for comprehensively improving vehicle performance.

Fuzzy Controller for Semi-Active Automobile Suspension System under Random Profiled Road Input

2014 ◽  
Vol 668-669 ◽  
pp. 474-477
Author(s):  
Qi Hua Ma ◽  
Jing Luo ◽  
Chun Yan Zhang
Keyword(s):  
Ride Comfort ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Active Suspension ◽  
Suspension System ◽  
Vehicle Body ◽  
Control Laws ◽  
Passive Suspension ◽  
External Conditions ◽  
Set Up

The suspension system is one of the most important parts of the automobile. The suspension system has an important influence on the ride comfort and maneuverable stability of the automobile. As structure parameters of traditional passive suspension cannot adaptively change with external conditions, the improvement of dynamic performance is difficult. Tow-DOF and four-DOF suspension of vehicle model is set up in this paper. Under random profiled road input simulated by using Runge-Kutta method, the control laws of fuzzy controller are adjusted by using different weight coefficients and use Matlab software to simulate the performances. Then, the results are compared and the performances are analyzed between passive suspension and semi-active suspension. The simulation results show the semi-active suspension is more effective for decreasing the vibration of vehicle body than the passive suspension, and designed fuzzy controller is effective for controlling the active controller of the semi-active suspension.

Research on Ride Comfort of Nonlinear Vehicle Suspension

2012 ◽  
Vol 605-607 ◽  
pp. 443-447
Author(s):  
Zi Yue Zhao ◽  
Zhi Hong Fan ◽  
Jing Jun Zhang ◽  
Zi Qiang Xia
Keyword(s):  
Ride Comfort ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Nonlinear Dynamic Model ◽  
System A ◽  
Power Spectral ◽  
Band Limited ◽  
Set Up ◽  
Suspension Model ◽  
Better Than

In this paper, in order to study the effect of nonlinear suspension system, a nonlinear dynamic model considering nonlinearity of suspension is built and another model with the respective of linear suspension system is developed which is for comparison. Then the dynamic equation of the model is set up. The simulation is accomplished through MATLAB/SIMULINK. It is found that the band-limited white noise module can simulate the power spectral density of road surface well. Finally, numerical simulation results indicates that an appropriate nonlinear suspension model fits reality better than a linear one and using relative control can provide the best ride comfort.

Integrated control of electric power steering and active suspension systems based on model predictive algorithm

2020 ◽  
pp. 1-21
Author(s):  
Qiang Zhao ◽  
Baoquan Zhu ◽  
Yulong Pei ◽  
Na Wang
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Passive Control ◽  
Ride Comfort ◽  
Steering System ◽  
Integrated Model ◽  
Suspension System ◽  
Driving Safety ◽  
Control Effect ◽  
The Impact

This paper investigates how to control suspension system and steering system to cooperatively ensure their performance. A model predictive controller is designed for their integrated model, which includes three parts: predictive model, rolling optimization and online correction. Repeated online optimization is based on actual output feedback information, real-time consideration of the impact of uncertainties, and timely correction. The simulation results show that the integrated model predictive control effect of steering system and suspension system is better than those of non-integrated passive control and integrated optimal control. The ride comfort, handling stability and driving safety of the vehicle are all improved with the integrated model predictive control.

Research on Modeling and Optimization Control of Heavy Truck Cab Active Suspension System

2014 ◽  
Vol 687-691 ◽  
pp. 359-362
Author(s):  
Guang Hui Yan ◽  
Shuo Zhang
Keyword(s):  
Ride Comfort ◽  
Active Suspension ◽  
Suspension System ◽  
Roll Angle ◽  
Driving Safety ◽  
Stochastic Signal ◽  
Road Disturbance ◽  
Optimization Control ◽  
Heavy Truck ◽  
Suspension Model

In order to meet the ride comfort of the heavy truck cab, the 1/2 heavy truck cab active suspension model established. Based on this model the LQG optimization control was selected for the active control of a 1/2 heavy truck cab suspension system. The road disturbance is integral white noise stochastic signal. By the example simulation in Matlab/Simulink, the results show that the cab active suspension with LQG control strategy can decrease the vertical accelerations, the roll angle and roll angle acceleration of the truck cab, the active suspension can improve both the ride comfort and driving safety.

Optimum Design for the Frame of Open Type Abrasive Flow Polish Machine

2012 ◽  
Vol 497 ◽  
pp. 89-93
Author(s):  
Liang Liang Yuan ◽  
Ke Hua Zhang ◽  
Li Min
Keyword(s):  
Finite Element ◽  
Natural Frequency ◽  
Finite Element Methods ◽  
Optimization Design ◽  
Low Cost ◽  
Three Dimensional ◽  
Force Model ◽  
Optimization Analysis ◽  
Open Type ◽  
Set Up

In order to process heterotype hole of workpiece precisely, an open abrasive flow polish machine is designed, and the optimization design of machine frame is done for low cost. Firstly, basing on the parameters designed with traditional ways, three-dimensional force model is set up with the soft of SolidWorks. Secondly, the statics and modal analysis for machine body have been done in Finite element methods (FEM), and then the optimization analysis of machine frame has been done. At last, the model of rebuild machine frame has been built. Result shows that the deformation angle value of machine frame increased from 0.72′ to 1.001′, the natural frequency of the machine decreased from 75.549 Hz to 62.262 Hz, the weight of machine decreased by 74.178 Kg after optimization. It meets the strength, stiffness and angel stiffness requirement of machine, reduces the weight and cost of machine.

scholarly journals An Optimal Longitudinal Control Strategy of Platoons Using Improved Particle Swarm Optimization

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Zhizhou Wu ◽  
Zhibo Gao ◽  
Wei Hao ◽  
Jiaqi Ma
Keyword(s):  
Particle Swarm Optimization ◽  
Control Strategy ◽  
Ride Comfort ◽  
Particle Swarm ◽  
Experimental Simulation ◽  
Driving Safety ◽  
Relative Speed ◽  
Longitudinal Control ◽  
Swarm Optimization ◽  
Improved Particle Swarm Optimization

Most existing longitudinal control strategies for connected and automated vehicles (CAVs) have unclear adaptability without scientific analysis regarding the key parameters of the control algorithm. This paper presents an optimal longitudinal control strategy for a homogeneous CAV platoon. First of all, the CAV platoon models with constant time-headway gap strategy and constant spacing gap strategy were, respectively, established based on the third-order linear vehicle dynamics model. Then, a linear-quadratic optimal controller was designed considering the perspectives of driving safety, efficiency, and ride comfort with three performance indicators including vehicle gap error, relative speed, and desired acceleration. An improved particle swarm optimization algorithm was used to optimize the weighting coefficients for the controller state and control variables. Based on the Matlab/Simulink experimental simulation, the analysis results show that the proposed strategy can significantly reduce the gap error and relative speed and improve the flexibility and initiative of the platoon control strategy compared with the unoptimized strategies. Sensitivity analysis was provided for communication lag and actuator lag in order to prove the applicability and effectiveness of this proposed strategy, which will achieve better distribution of system performance.

Applications of Multiple Objective Genetic Algorithms in the Optimization Design of Tracked Self-Moving Power’s Layout

2013 ◽  
Vol 307 ◽  
pp. 161-165
Author(s):  
Hai Jin ◽  
Jin Fa Xie
Keyword(s):  
Optimization Design ◽  
Pareto Front ◽  
Layout Optimization ◽  
Multiple Objective ◽  
Multi Objective Optimization ◽  
Layout Problem ◽  
Basic Principles ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Set Up

A multi-objective genetic algorithm is applied into the layout optimization of tracked self-moving power. The layout optimization mathematical model was set up. Then introduced the basic principles of NSGA-Ⅱ, which is a Pareto multi-objective optimization algorithm. Finally, NSGA-Ⅱwas presented to solve the layout problem. The algorithm was proved to be effective by some practical examples. The results showed that the algorithm can spread toward the whole Pareto front, and provide many reasonable solutions once for all.

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