This study explores the actual demand of wide-frequency vibration isolation and low-frequency shock resistance of a vibration isolation system for complex external excitation of the aircraft turboprop engine. The performance of a type of turbo-propeller engine vibration isolation system at a 1.5–2000 Hz vibration frequency is investigated by combining simulation and experimental research.  It provides the test basis and idea for the optimization of the aero-engine vibration isolation system.

To improve the trajectory tracking control performance for robot manipulators subject to uncertainty, a generalized sliding mode controller (SMC) is designed. In the first step, it is assumed that the dynamic model of robot manipulators is precisely known, and an ideal control is designed. In the second step, a smooth-function-based SMC is designed to prevent the chattering phenomenon caused by the discontinuous function and further enhance the robustness performance.

Considering its practical engineering applications, a proportional-derivative-based robust controller is designed and applied to a nonlinear robotic system with uncertainty. With error- and model-based features, accurate position tracking can be achieved. The control feedback gain is automatically and iteratively adjusted by learning so that the desired performance of the system is optimized.

Helicopters are easy to hit by hard objects during operation, harming pilots. So, we want to provide some technical references for the safe operation of helicopters. What are the factors that affect the safety? Then we analyze how to control this factor through simulation and specific experiments and observe the vibration of the equipment. Finally, results show that the stability of the equipment can be enhanced by designing a certain device to adjust the influencing factors.

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.