Zong Qun

The design of multiobjective fuzzy control algorithm in elevator group control system

The essential problem of elevator group control is how to manage the operation of the elevators properly and then to reach the top efficiency; a high efficiency means a shorter waiting time and running time, less crowding, and less power consumption. A good algorithm should be able to select a proper control policy according to the traffic pattern. This paper proposes a new multiobjective elevator group control algorithm based on fuzzy logic, and describes its structure and realization in detail. The algorithm can change the power vector of the multiobjectives automatically. The effectiveness of the algorithm is confirmed by computation result.

Design and realization of multi-function car-carry fault diagnosis system

The present study fist proposed the structure of a multi-function car-carry fault diagnosis system, and the design of vehicle status monitoring module. Secondly, this paper analyzed the design of vehicle fault diagnosis expert knowledge base, inference machine and interpreter program. The paper used fault tree analysis (FTA) to establish fault tree of automotive engine, chassis systems, body parts and electrical equipment, then simplified the fault tree to form fault diagnosis rules, and establishes car-carry fault diagnosis expert system knowledge base. In its software implementation, SQLite database is used to save and manage diagnostic rules. Expert system inference engine uses an interactive search method based adopt reasoning mechanism. The expert system uses preset text to realize explanation. Finally, this paper discusses hardware and software design of the fault diagnosis system, and demonstrates the systems human-machine interface operating results.

Robust dynamic inversion control for near space vehicle

To the highly nonlinear, significant input-output coupling and remarkable external disturbance of near space vehicle (NSV), a dynamic inversion control method based on H ∞ optimal control is proposed. This method combines the robustness of H ∞ optimal control theory and nonlinear decoupled control ability of the dynamic inversion control well, so it is possible to achieve highly nonlinear decoupled control for NSV, restrain the effects of external disturbance and realize finite time stability in complicated flight conditions. Therefore, the proposed can provide the longitudinal stability and improves longitudinal flight quality for NSV. Simulation studies demonstrate that the proposed control method is efficient.

A multi-mode prediction method for elevator traffic flow based on classification off-line

In order to achieve the on-line traffic flow prediction, a novel multi-mode prediction method based on mode classification off-line is proposed. Firstly, the elevator traffic flow is classified off-line into patterns by the two-stage Clustering Algorithm, Artificial Immune C-Means Clustering Algorithm (AI C-Means CA). Then Gaussian Mixture Model (GMM) is used to model the multi-mode elevator traffic flow. And the EM algorithm is utilized to estimate the parameters of GMM to predict elevator traffic flow on line. Finally, the effectivity of this prediction method is validated by comparing simulation results with other prediction methods.

Modeling and analysis of elevator system based on timed-coloured Petri net

In this paper, a running model of elevator based on timed-coloured Petri net is proposed. The running of elevator is classified according to the model. The running of elevator is controlled by the command of controller. The command of controller is composed of the color aggregate that has a connection with the running states of elevator. Finally, we give an example of the application of the model in the single elevator system and the elevator group control system.

Spectrum analysis approach to model validation of the hypersonic vehicle model

A control-oriented hypersonic vehicle(HSV) model which is always obtained by simplifying the form of the model, and neglecting certain weak couplings etc. The credibility of simplified model of HSV should be effectively verified. A quantitative assessment method which based on frequency domain is presented to validate the dynamic performance consistency of the model. The classical and modern spectrum estimation methods are all adopted to analyze the dynamic performance in frequency domain, and criteria based on statistical properties are proposed. The simulations show the spectrum analysis validation methods effectiveness.

Developmentof automobile fault diagnosis expert system based on fault tree — Neural network ensamble

The structure of cars is increasingly complex, the fault type, fault phenomena and fault causes of cars is more complicated, therefore ordinary users are stranded when fault happens. To solve the above questions, this paper outlines a kind of on-vehicle fault diagnosis expert system based on fault tree — neural network ensamble. The knowledge base of the expert system is divided into two parts, the fault tree analysis based knowledge base and neural network ensemble based knowledge base. For the faults easy to form production rules, the fault tree analysis is used to form expert rules. For those difficult to find specific expression between failure mode and fault reason, the neural network ensemble based method is adopt to form a diagnosis model, and it is tested by the simulation examples. Finally, the program language EVC++ under Windows CE is used to develop the fault diagnosis expert system for cars, which had better man-machine interacted interface.

Higher-order sliding-mode observer for state estimation in a Near Space Vehicle

Near Space Vehicles draw more attention for its high speed transportation and affordable space access. However, advanced control methods for Near Space Vehicles always required full information on the state. In this paper, a higher-order sliding-mode observer is proposed in MIMO nonlinear longitudinal dynamic equations. The observable states can be estimated exactly and the unobservable ones will be identified asymptotically. Numerical simulations illustrate the efficacy of the proposed observer.

Robust Controller for Networked Control Systems Induced Noise and Long Transmission Delay

The transmission delays in the networked control systems are inevitable and can degrade the systems performance or stability. This paper has proposed an r-suboptimal Hinfin controller for networked control systems with model uncertainty and network induced delay which is longer than one sampling period. The closed-loop system with structured uncertainties and long transmission delay is asymptotically stable. Simulation is applied to numerical examples with networked control show that the proposed method works well.

Model validation based on residuals analysis method

A model validation approach based on residuals analysis is presented to uncertain system with unmodelled dynamics. Since the effect of unmodelling errors, the residual signal is not only induced by the noise but also the unmodelling error. Therefore, in open-loop condition, model validation is firstly transferred into a hypothesis validation and a new residual estimation method is proposed. Though analyzing the cross-correlation function of residual signal and input signal, model validation is implemented. In final, the whole steps of model validation are presented and simulation results show the effectiveness of the method of this paper.