欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对复杂工业过程的对象难以在实验室建立及其仿真系统不能方便快捷开发的现状，提出采用组态软件及仿真软件混合编程开发工业过程虚拟对象软件平台。该平台采用前台界面层、中间通讯层、后台模型层3层结构，以多种可控数据交换方式实现前台界面与后台模型的无缝链接，制定二次开发规则，以平台程序为基础，可实现针对某一工业过程对象仿真软件的快速开发。最后以钢球磨煤机制粉系统的虚拟对象验证了平台的有效性。
英文摘要：
The plant of an industrial process is almost impossible to established in the lab, and its simulation system can not be quickly developed. For solving this problem, a virtual software platform of an industrial process plant was presented by using con- figuration software and simulation software. This platform consisted of the foreground interface layer, the middle communication layer, and the background model layer. The data exchange between the foreground interface and the background model was seam- lessly realized. The secondary development rulers were put in form. According to the rulers, the development of some industrial process plant simulation software could be quickly realized on the basis of the platform program. The virtual plant of coal pulverizing systems was developed on the platform, and the availability of the platform was proved.
同期刊论文项目
同项目期刊论文
Comments on ``Exponential stability analysis for uncertain neural networks with interval time varyin
Filter-based fault detection and diagnosis using output PDFs for stochastic systems with time delays
An online estimation algorithm for the unknown probability density functions of random parameters in
Modeling and control of the flame temperature distribution using probability density function shapin
Dynamic output feedback control synthesis for continuous-time T-S fuzzy systems via switched fuzzy c
Delay-dependent robust H-infinite control for uncertain fuzzy hyperbolic systems with multiple delay
Robust stability analysis for interval Cohen-Grossberg neural networks with unknown time varying del
ILC-Based Fixed-Structure Controller Design for Output PDF Shaping in Stochastic Systems Using LMI T
Neural-network-based terminal sliding mode control of robotic manipulators including actuator dynami
New delay-dependent criterion for the stability of recurrent neural networks with time-varying delay
New characterizations of positive realness and static output feedback control of discrete-time syste
The RBF Neural Network-based Near-optimal Control for a Class of Discrete-time Affine Nonlinear Syst
delay-probability-distribution-dependent robust stability analysis for stochastic neural networks wi
An LMI optimization approach to non-fragile H∞ filter design for Delta operator formulated systems w
Reliable H∞ Filter Design for Discrete-time Systems with Sector-bounded Nonlinearities: an LMI Optim
Robust Adaptive Fault-tolerant Compensation Control with Actuator Failures and Bounded Disturbances.
Data-Based Optimal Control for Discrete-Time Zero-Sum Games of 2-D Systems Using Adaptive Critic Des
Adaptive fault-tolerant control of linear time-invariant systems in the presence of actuator saturat
Robust stability analysis for Markovian jumping stochastic neural networks with mode-dependent time-
Neural-network-based motion control of robotic manipulators including actuator dynamics in task spac
Dynamics analysis of impulsive stochastic Cohen-Grossberg neural networks with Markovian jumping and
New?delay-dependent global exponential stability criterion?for?cellular type?neural?networks?with?ti
Global impulsive exponential synchronization of stochastic perturbed chaotic delayed neural networks
Static output feedback control synthesis for linear systems with time-invariant parametric uncertain
Comments on ``H_infinity filtering for fuzzy singularly perturbed systems with pole placementconstra
New criteria of global exponential stability for a class of generalized neural networks with time-va
Hybrid intelligent optimising control for high-intensity magnetic separating process of hematite ore
期刊信息
位置：