Abstract:

The non-axisymmetric problem caused by fluid shaking in the tank of a concrete tanker during driving is affected by the excitation of the vehicle on the complex road surface, which makes the fluid shaking coupled with the body dynamics. The traditional hydraulic drive proportion-integration-differentiation (PID) control method is ineffective in dealing with such problems, which can easily lead to accidents such as overturning. In order to improve the accuracy and stability of the hydraulic drive control system, a firefly optimized particle filter PID adaptive control method based on the elastic firefly algorithm(FA) was proposed to accelerate the convergence speed of the optimization of the control parameters and to analyze its hydraulic drive control characteristics and structural applications. The results show that the proposed adaptive control method can significantly reduce the average speed error of hydraulic drive control to 0.06 km/h and the maximum speed error to 0.29 km/h in comparation with the traditional PID control, and also improve the control tracking performance and stability, which has an important reference value for the practical application of the optimization of the hydraulic drive control of concrete tanker.

Key words: adaptive control, hydraulic drive, concrete tanker, elastic firefly algorithm(FA)