2022
DOI: 10.3390/agriculture12060807
|View full text |Cite
|
Sign up to set email alerts
|

Optimization Design Based on I-GA and Simulation Test Verification of 5-Stage Hydraulic Mechanical Continuously Variable Transmission Used for Tractor

Abstract: To improve the characteristics of a tractor power transmission system, make the transmission system not only meet the geometric principle but also meet the working speed requirements of the tractor, realize the continuous adjustment of the speed ratio, and solve the power interruption caused by the change of speed ratio. This paper not only proposes a new type of five-stage hydraulic mechanical continuously variable transmission (HMCVT), but also proposes a geometric design method based on I-GA. In this paper,… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2

Relationship

1
6

Authors

Journals

citations
Cited by 10 publications
(10 citation statements)
references
References 19 publications
0
10
0
Order By: Relevance
“…The GA-PSO algorithm is a combination of the Genetic Algorithm [ 29 ] and Particle Swarm Optimization [ 30 ]. The Genetic Algorithm is an optimization algorithm that simulates the process of biological evolution to find the optimal solution.…”
Section: Yaw Stability Control Strategymentioning
confidence: 99%
“…The GA-PSO algorithm is a combination of the Genetic Algorithm [ 29 ] and Particle Swarm Optimization [ 30 ]. The Genetic Algorithm is an optimization algorithm that simulates the process of biological evolution to find the optimal solution.…”
Section: Yaw Stability Control Strategymentioning
confidence: 99%
“…If the steering angle δ 2m of the trailer middle axle is set as the control vector, the linear vehicle model can be expressed in the state-space form as Eq (9), in which u is the control input, u…”
Section: Plos Onementioning
confidence: 99%
“…Existing methods for improving vehicles' lateral stability or the trajectory tracking performance mainly include the active suspension method [4][5][6], the compliance steering or passive steering of the rear axles or wheels [7][8][9], the differential braking method [10,11], the active steering of the rear axles or wheels [12][13][14], and the parameter and state estimation for vehicles [15][16][17]. The active suspension method usually consumes a lot of energy, and the response speed is relatively slow, which is not practical for articulated heavy vehicles (AHVs).…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, we optimize PSO to expand the population search space by introducing the inertia weight coefficient based on the concept of mutation in the genetic algorithm, which enables particles initialize their position and velocity in model with a given probability to jump out of the highest quality position previously searched and carry out searches in a larger space. The optimized PSO would maintain population diversity and improve the probability in finding the global optimal solution, especially in solving complex functions [ 28 , 29 , 30 , 31 ].…”
Section: Model Solutionmentioning
confidence: 99%