Logic Diagram Editing for Interactive Logic Design

Author(s):  
H. Hiraishi ◽  
S. Yajima
Keyword(s):  
2018 ◽  
Vol 4 (4) ◽  
Author(s):  
Hui Li ◽  
Guangxin Zhang

The control function for process, heating, ventilation, and air conditioning, and electrical systems in nuclear power plant (NPP) are represented by control logic diagram. To develop distributed control system (DCS), the designer and supplier should complete the activities of control logic configuration, testing, and verification, which are based on control logic diagram. Design verification is an effective method to ensure the correctness of control logic design. This paper represents a system, which is capable of implementing control logic design verification automatically for NPP instrumentation and control (I&C) system, as well as an overview of the procedure and some examples by using this system. With the design data (including control requirements and control logic diagrams in computer-readable format) and simulation technology, this system automatically performs design verification based on different rules and confirms the design outputs meet the inputs—the control requirements of plant's systems. Finally, a conclusion about the design verification system and future scenarios is given.


Author(s):  
Hui Li ◽  
Guangxin Zhang

The control function for process, HVAC and electrical systems in nuclear power plant (NPP) are represented by control logic diagram. To develop Distributed Control System (DCS), the designer and supplier should complete the activities of control logic configuration, testing and verification which are based on control logic diagram. Design Verification is an effective method to ensure the correctness of control logic design. This paper represents an overview of the procedure for control logic design verification in NPP I&C system, as well as the common function of platform/system to implement design verification. It focuses on the design verification for component control logic, to confirm the design outputs meet the inputs — the control requirements of plant’s systems. Finally, a conclusion about the design verification system as well as future scenarios is given.


1989 ◽  
Vol 4 (3) ◽  
pp. 245-254
Author(s):  
Mingye Liu ◽  
Shuming Guo ◽  
Huai Yang ◽  
Liangyu Jia ◽  
Enyu Hong

Author(s):  
Guy Even ◽  
Moti Medina
Keyword(s):  

2012 ◽  
Vol 1 (2) ◽  
pp. 36-49
Author(s):  
A. Kishore Kumar ◽  
D. Somasundareswari ◽  
V. Duraisamy ◽  
T. Shunbaga Pradeepa

Author(s):  
Lingying Zhao ◽  
Min Ye ◽  
Xinxin Xu

To address the comfort of an electric vehicle, a coupling mechanism between mechanical friction braking and electric regenerative braking was studied. A cooperative braking system model was established, and comprehensive simulations and system optimizations were carried out. The performance of the cooperative braking system was analyzed. The distribution of the braking force was optimized by an intelligent method, and the distribution of a braking force logic diagram based on comfort was proposed. Using an intelligent algorithm, the braking force was distributed between the two braking systems and between the driving and driven axles. The experiment based on comfort was carried out. The results show that comfort after optimization is improved by 76.29% compared with that before optimization by comparing RMS value in the time domain. The reason is that the braking force distribution strategy based on the optimization takes into account the driver’s braking demand, the maximum braking torque of the motor, and the requirements of vehicle comfort, and makes full use of the braking torque of the motor. The error between simulation results and experimental results is 5.13%, which indicates that the braking force’s distribution strategy is feasible.


1999 ◽  
Vol 31 (3) ◽  
pp. 211
Author(s):  
Chris Power

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