This paper proposes a new positional control method for soft pneumatic actuators. The pressure parameter feedback model (PPFM) of the airbag is obtained by adjusting the pressure input through a proportional valve, collecting the air pressure inside the airbag and obtaining the airbag expansion height. The pressure input signal is changed according to the PPFM of the airbag to control the position of the soft pneumatic actuator.

First, a jumping leg mechanism that imitates a goat's hindlimb is proposed. Second, the kinematics of a goat-inspired jumping leg is analyzed and the jumping trajectory planning is conducted with cubic polynomial curves to guarantee smoothness in the jumping process. Finally, experiments on the goat-inspired jumping leg are conducted to test its jumping performance and to verify the correctness of the kinematic model and the jumping trajectory planning method of the leg.

First, we compare the advantages and disadvantages of existing navigation devices in agriculture and select the magnetic navigation with low cost and high reliability. We then establish the motion model of the table. The fuzzy proportion integration differentiation (PID) control strategy is determined through the model's analysis, and the fuzzy PID controller is designed and simulated in MATLAB. Finally, the test is verified under two different conditions of straight road and curved road.

A terminal sliding mode controller is used to design the controller, and a radial basis function neural network method is used for adaptive approximation of system parameters. In order to eliminate chattering, a fuzzy algorithm is designed for fuzzy control of control gain. The simulation verified that the controller designed in this paper can effectively carry out trajectory tracking and the lateral control of electric vehicles and eliminate chattering to a certain extent.

To investigate the effect of the gear transmission system on the dynamic responses of the metro vehicle driving system, a vertical–longitudinal dynamics, model which considers the frame-hung traction motor and gearbox, is established and is validated to be reliable by comparing the simulation results and field test results in both time domain and time–frequency domain in this paper. Compared to wheelset, the gear mesh force has a greater effect on the force state of traction motor and gearbox.