Method for designing performance parameters of wheel encasing type automobile carrier
A technology for car carrier and parameter design, which is applied in the field of mechanical engineering and can solve problems such as the inability to establish an accurate relationship between system parameters and performance.
Patent Information
- Authority / Receiving Office
- CN · China
- Current Assignee / Owner
- Publication Date
- 2018-08-21
Smart Images

Figure 1 
Figure 2 
Figure 3
Abstract
Description
technical field
[0001] The invention relates to the field of mechanical engineering and the field of computer application technology, and more specifically, to a method for designing performance parameters of a wheel-holding vehicle carrier. Background technique
[0002] With the acceleration of my country's economic development and the improvement of urban modernization, the number of cars continues to grow at a high speed, and the difficulty of parking in large and medium cities has become a problem that plagues urban traffic. The three-dimensional parking garage is an effective solution to the problem of "difficult parking" in the city. The three-dimensional parking garage can have the advantages of high access efficiency, fast shunting speed, high degree of automation, and high reliability, and the key component to achieve this effect is the car handler.
[0003] Generally, there is a certain joint gap between the parking space and the track of the lifting platform of t...
Examples
Embodiment
[0146] The initial design parameters of the system for a carrier are shown in Table 1:
[0147] Table 1
[0148]
[0149] The mass, stiffness, and damping matrices brought into the dynamic model of the carrier system are obtained as follows:
[0150]
[0151]
[0152]
[0153] Run the Newmark numerical integral calculation program to obtain the dynamic load coefficient of the load on the arm of the carrier as follows: Figure 7
[0154] In step 3, a certain RBF proxy model is as follows: Figure 8 , where the genetic algorithm solution parameters are listed in Table 2 below:
[0155] Table 2
[0156]
[0157] get the optimized solution as Figure 9 .
[0158] Through empirical data, it can be obtained that the value of α is 0.65, and the value of β is 0.35. Using this standard method to calculate the formula to obtain the comprehensive evaluation degree distribution of the optimal solution is as follows: Figure 10 .
[0159] when k i =k 5 =0.1510 is ...