Papers by Author: Rui Tang

Abstract: Pointing on uncertainties in the velocity servo system, caused by servo system cant model accurately, may cause the deterioration of the control quality of the electro-hydraulic servo system, and even lead to its instability. Sliding model control (SMC) strategy has been application in electro-hydraulic velocity servo control. Given that the quality and stability of servo system will be affected by the chartering phenomenon in the SMC, this paper proposes an approach to overcome the chattering: dynamic sliding mode control (DSMC). In this paper the mathematical model is established and the dynamic sliding mode controller is designed. Simulation and experiment indicated that: the proposed control strategy has good performance on velocity tracking and chattering reducing .The stability and control quality of the servo system are improved.

Abstract: Stability and safety performance of aircraft is determined by reliability of aviation airborne equipment, airborne equipment mounting rack work under severe mechanical vibration. To improve the system reliability, we established accurate parametric finite element model, obtained modal of frequency and vibration by analysis, confirmed correctness of this method by experiment, laid the foundation of its comprehensive dynamic analysis and structure optimization design for structure and working conditions of a electronic equipment mounting rack in this paper.

Abstract: The hydraulic control system, which is important composition of parallel machine tool, is a high order, nonlinear, parameter uncertain system, which seriously affect dynamic performance of machine tool, So it is very difficult to gain good performance with traditional control. By making a single-channel control of parallel machine tool as the research object, a fuzzy adaptive PID controller is proposed based on the traditional PID control and fuzzy control theory. Using the Fuzzy PID controller, PID parameters can real-time change and the system has good adaptive ability and robustness. System dynamic simulation is made by the MATLAB. Simulation results reveal that the performance of this adaptive fuzzy PID controller is much better than the conventional PID controller, even in the external disturbance and system conditions changing, this controller has the the characteristics of fast response and good robustness.

Abstract: Master and slave manipulator has been widely used because it can work easily in the working environment where the human beings can hardly work. In order to make the manipulator control system have good tracking performance, a control strategy based on sliding mode control was proposed for master-slave manipulator control system. Considering that the quality and stability of servo system will be affected by the chattering phenomenon in the SMC, a reaching law approach was used to reduce the chattering phenomenon. The proposed control strategy can make the master and slave manipulator have good performances on force and position tracking, and the chattering problem has also been alleviated. Simulation and experiments results show that the proposed control strategy can produce good performances on the force and position tracking, the problem of chattering has also been inhibited significantly, and the stability and quality of the master and slave manipulator has been improved as well.

Abstract: Pointing on nonlinear and parameters vary with time in the velocity servo system, and the requirement of servo system is difficult to meet by the traditional PID control scheme. A control scheme of ANN-based PID controller is developed here for velocity tracking control for an electro-hydraulic velocity servo system. In this paper the mathematical model is established for the system, and the PID controller based on cerebellar model articulation controller (CMAC) are designed and connected in parallel. Numerical simulation results indicate that the proposed control scheme has an excellent performance on high precision velocity tracking ability and rejection of disturbance, comparing with conventional PID control strategy.