We show how the operational modal analysis of a nonuniform wind turbine tower can be performed and used to acquire effective and reliable test results and dynamic behavior. Results show that a tailor-made genetic algorithm (using auto-MAC as the fitness function) is a practical approach to finding the optimal position of the sensors to obtain the best results for objective modes. We also accessed the updated finite element model with less than 1 % error compared to the frequencies from the test.

The main purpose of this study was to establish a design process for the 2F1R thee-wheel tilting mechanism and to reduce the turning radius to fulfill steering geometry in order to reduce the steering torque for a better handling feel. The results were compared with road tests of real vehicles to verify the model.

In order to improve the efficiency of identifying parameters using the maximum likelihood method and to avoid the sensitivity of initial values, a proposed method that combines the advance and retreat method with the micro-genetic algorithm allows the initial value, the iterative increment, and the search interval to be gradually changed, and the initial value to start from zero, which ensures a stable and fast convergence compared with other algorithms.

Compared with the hydrostatic CVT used in the current cotton picker, the hydrostatic power split CVT has lower energy and fuel consumption. However, this kind of transmission usually has multiple speed regulation ranges, and the adjacent two ranges will produce impact and affect the driving comfort when shifting. In this study, the shift process of a hydrostatic power split CVT was analysed, and the results prove the feasibility of the application of this kind of CVT in the cotton picker.

This paper reviews the state-of-the-art trajectory tracking of autonomous vehicles. Autonomous vehicles have become more and more popular with the development of artificial intelligence and automatic control. If you have any interest in the trajectory tracking of autonomous vehicles, this paper is the one that you can not miss. It will give you a brief concept of the current development of the trajectory tracking of autonomous vehicles.