Jing Jun Zhang

Research on Ride Comfort of Nonlinear Vehicle Suspension

In this paper, in order to study the effect of nonlinear suspension system, a nonlinear dynamic model considering nonlinearity of suspension is built and another model with the respective of linear suspension system is developed which is for comparison. Then the dynamic equation of the model is set up. The simulation is accomplished through MATLAB/SIMULINK. It is found that the band-limited white noise module can simulate the power spectral density of road surface well. Finally, numerical simulation results indicates that an appropriate nonlinear suspension model fits reality better than a linear one and using relative control can provide the best ride comfort.

Study of Fuzzy Control for Intelligent Cantilever Beam Based on Genetic Algorithm

The design of fuzzy controller is the key of fuzzy control system, while the core of fuzzy controller design lies in fuzzy rules, whose performance determines the control effect of fuzzy system. General fuzzy rules are obtained from expert experience, in which much subjectivity exists. In this paper, a fuzzy controller is designed by taking an intelligent cantilever beam as the research object. And a method using the genetic algorithm to optimize fuzzy rules is proposed and the genetic coding as well as the fitness function is confirmed. Finally, the simulation model of intelligent cantilever beam is built by Matlab/Simulink, and the vibration control effects of fuzzy controller optimized by genetic algorithm are compared with those un-optimized. The simulation results indicate that the vibration amplitude of intelligent cantilever beam has a significant decrease and the vibration decay rate has a significant increase after the fuzzy rules optimized.

AOP's Modeling Research and Model Transformation with ATL in MDA

With Aspect Oriented Programming(AOP) technology, Model Driven Architecture(MDA) and ATLAS Transformation Language(ATL), this paper proposes a PIM framework of based on OOP and a PIM framework of based on AOP, also proposes a idea with ATL accept model conversion signals to model transformation.

The Study of A Management Information System Based on AOP and MDA

This paper introduces Model Driven Architecture(MDA) and Aspect Oriented Programming(AOP), based on train online ticketing system, it describes various modules of the activity diagram and class diagram of this system. Through the activity diagram, it knows that which is crosscutting concerns, and then modeling for the crosscutting concern. This paper is improving the traditional MDA modeling with AOP technology.

Multi-Objective Optimization of Actuator Locations and Numbers for Piezoelectric Intelligent Trusses Based on Genetic Algorithm

The locations and number of actuators in piezoelectric truss is very important. The best number and locations of actuators can make truss node displacement minimum. Based on the function of truss node displacement, this paper analysis the axial force of every bar of intelligent truss, and deduced the piezoelectric truss node displacement, and optimized the location and number of truss using genetic algorithm (GA). The results of the example show that the proposed method is effective.

An Improved Genetic Algorithm Based on K2(m) Triangulation of Continuous Self-Mapping

In this paper an improved genetic algorithm based on the simplex self-mapping fixed point algorithm is proposed. With this algorithm, the optimal problem of n-dimensional closure function will be transformed as the solution of approximate fixed point problem of n-dimensional standard simplexes by homeomorphism mapping. The genetic operators relying on the integer labels are designed. In this case, whether every individual loading simplex of the population is a completely labeled simplex can be used as an objective convergence criterion. The simulation results demonstrate that the proposed algorithm is valid and effective.

Fuzzy Sliding Mode Control for Semi-Active Suspension System

In Matlab/Simulink software semi-active suspension dynamic model of a quarter car is established and a sliding mode controller and a fuzzy sliding mode controller are designed. The fuzzy controller inputs are sliding mode switch function and its derivatives, and the output of absolute value is the sliding mode controller parameters. This fuzzy sliding mode controller chooses sliding mode controller and Skyhook as reference models and the simulation result shows that the stability of performance of the fuzzy sliding mode controller can effectively improve the driving smoothness and safety.

The Study and Realization of Online Submission and Peer Review System Based on AOP

Aspect-Oriented Programming (AOP) is a new programming technology. It compensates the weakness of Object-Oriented Programming (OOP) at applying common behavior that spans multiple non-related object models. Interceptor adopts the logos of AOP and uses a way of hot swap solving these problems. At this issue, we research the AOP technology of Java Web called Struts interceptor. We show the advantage of this new programming method through an online submission and review system which using AOP method in the authentication and authorization.

An Improved Genetic Algorithm Based on hJ1 Subdivision and Fixed Point

An improved genetic algorithm based on hJ1 subdivision is proposed for multimodal optimization problems. With this algorithm, the optimal problems converse to solution of fixed point problems. In this case, whether every individual of the population is a completely labeled simplex can be used as an objective convergence criterion and determined whether the algorithm will be terminated. Finally, a function is used to demonstrate the effectiveness of the algorithm through solving the minimum points distinguished by using the Hessian Matrix.

An Improved Active Queue Management Algorithm Based on Nonlinear Smoothing

According to the limitations of calculation of the original random early detection (RED) algorithm in linear packet loss rate. This paper proposes an improved algorithm which imposes nonlinear smooth for packet loss rate function of RED algorithm. The speed of growth of packet loss rate is relatively slow near the minimum threshold, while near the maximum threshold the speed of growth of packet loss rate is relatively faster. In this case, using the trend of the average queue length to dynamically adjust the parameters of the RED algorithm, it reduces the dependence on the parameters of the RED algorithm and enhances the stability of the algorithm. NS simulation shows that this algorithm has been significantly improved for packet loss rate, throughput and other performance.