Chen Xinglin

A Multi-Ant Colony System for Vehicle Routing Problems

In order to accelerate the convergence rate of the ant colony algorithm and avoid the stagnation behavior, a novel ant colony system developed from max-min ant system is present. The methods including multi-ant colony, improving state transition rules, introducing parameter mutation method according the convergent requirement are used in the algorithm. It is applied to the vehicle routing problem with time window. Experimental results show that algorithm has much higher capacity of global optimization and improve the speed of convergence efficiently.

Iterative learning control for the synchronization control system of the scanner

This paper presents an engineering design method of iterative learning control and its application to synchronization control system of the scanner. Firstly, the synchronization control scheme in the scanner is analyzed, and iterative learning control is introduced to reduce the synchronization errors based on the feedback control system. The method employs the time lead factor to compensate phase lag of the closed loop control system of the reticle stage around bandwidth in order to improve convergent domain of the system. Furthermore, a non-causal filter is introduced to enhance robustness of the system and improve convergent performance of the system. In addition, the convergent condition of the synchronization control system is given. Finally, simulated results are illustrated for validating the effectiveness of the proposed method.

Robust H8 Control for Inter-satellite Optical Communication Terminal Antenna

Stability of antenna control system is very important to optical communication system. The disturbance moment of periscope antenna servo system arising from friction and eccentricity of outer space were analyzed. Disturbance moment was converted into a low frequency perturbation added to the brushless direct current motor (BLDC). When model uncertainty and perturbation exist simultaneously, the terminal closed-loop system is still quadratic stability by using state feedback method. By using the linear matrix inequality (LMI) criterion, the design of no-fragile state feedback controller was proposed under the condition of disturbance attenuation of quadratic stability. Finally, the BLDC model of communication terminal was investigated, and the antenna controller was calculated by LMI toolbox. The simulation proved that the controller resisted moment disturbance problem effectively.

An improved one-dimensional cellular automation model of traffic flow

At the condition of periodic boundary, motor vehicles traffic flow with different-maximum-speed vehicles mixed on one-way and single lane is the target of research. Based on NS models of traffic flow, the relative velocity among vehicles is taken into account. And the renewal rules of NS model are revised. It is mainly to raise the driving speed by correlating stochastic probability of speed-down with velocity. Mixed traffic flows with two-different-maximum-speed and three-different-maximum-speed are acted examples to be simulated. On the basic of the result of simulation, the velocity of mixed traffic flows is up to the velocity of slow vehicles. So for improving the velocity of high-speed roads, the limitation of the lowermost velocity is needed to be raised. The traffic capacity of high-speed roads also can be increased.

Study on a Kind of Thyristor Driven Induction Motor System Based on Neural Network Control

The complex principles of induction motor often bring difficulties to electrical driven system. Due to its nonlinearity, strong coupling and uncertainties, the input and output characteristics are only considered in conventional applications. Thyristors still occupy part of the driven fields where precise speed regulation is not needed, and some solid state controllers have been put into practice. However, from the view point of the system, the performance analysis and modeling of thyristor driven induction motor system still completely depend on circuit calculation. This paper has proposed a method of combining circuit calculation with RBF neural network approximating, and has designed a controller with NN. Comparison of simulation results, actual waveform and experiment data, the validity of the design has been verified. It has provided theoretic support to conventional applications.

Analysis of thyristor controlled induction motors based on VVCF

In this paper, the author has aimed at the variable-voltage controlled induction motor, analyzed the steady-state performance of variable-voltage thyristor controlled induction motor system, and presented the mathematic model and circuit model of such system. Power factor, as a significant variable to measure the efficiency of motor operation, is particularly studied in the paper, and the control strategy based on the studies of power factor and slip is given. The simulation curves and real waves are shown in the result. Finally, the transient performance of induction motor is mentioned. The analysis and results reveal that such system based on the special arithmetic is available.