具有轮轴伸缩功能的高空作业平台转向机构研究
[Abstract]:Self-propelled aerial work platform is a special vehicle which uses the work platform to transport staff, tools, equipment and materials to a designated location. Self-propelled aerial platforms have the fastest speed of 6.8 km2 / h, which is low, takes longer to get to their destination when the workplace is far away, and is not allowed to drive on the road. In order to facilitate the transportation of the self-propelled aerial platform, the width of the whole machine should be reduced. Therefore, in the chassis of the self-propelled aerial platform, the technology of axle expansion (i.e. bridge expansion technology) is added, which can change the chassis wheel spacing and make the chassis of the platform have two kinds of wheel spacing states. Use narrower wheels when in transit and wider wheels when in operation. Due to the existence of two wheel spacing states, there are two steering mechanisms, and each steering mechanism has steering error. How to reduce the two steering errors at the same time is the focus of this paper. The main contents are as follows: (1) the application of wheel-shaft telescopic steering mechanism in the chassis of self-propelled aerial platform is described, the mathematical model of steering error of wheel-shaft telescopic steering mechanism is established, and the concept of double-steering error is proposed. (2) aiming at the problem of double steering error of wheeled telescopic steering mechanism, a multi-objective mathematical model of double steering error is established. In order to eliminate tire sideslip, the mean value of relative error square is chosen as objective function. Taking the bottom angle and waist length of steering mechanism as design variables, the boundary and performance constraints are established, and the multi-objective genetic algorithm is used to solve the problem of multi-objective optimization by means of MATLAB genetic algorithm toolbox. For the Pareto solution set after multi-objective optimization, the solution set evaluation method based on variation coefficient method is used to select the solution of interest from the solution set according to the preference of the decision makers. Taking a self-propelled aerial work platform as an example, the multi-objective optimization technology is used to optimize and improve it, which proves the feasibility and rationality of the optimization method. (3) the sensitivity of structural variables to steering errors of wheel-shaft telescopic steering mechanism is discussed by using the theory of grey correlation degree, and the structural variables closely related to steering errors are found, which provides a reference for the selection of design variables in the empirical formulas. (4) the optimal arrangement of the wheel-shaft telescopic steering mechanism is explored by using the optimized evaluation solution. The principle of layout is to eliminate tire sideslip and to explore the relationship between bottom angle and waist length and the distance of main pin by optimizing technology. Using the data processing technology of the least square method, the optimized data of evaluation is processed, and the empirical formula is obtained, which provides a reference for designing the steering mechanism of the same type of self-propelled aerial work platform in the future.
【学位授予单位】:大连理工大学
【学位级别】:硕士
【学位授予年份】:2012
【分类号】:TH21
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