DocumentCode :
3580000
Title :
Safety property comparison between Gröbner bases and BDD-based model checking method
Author :
Alwi, Saifulza ; Fujimoto, Yasutaka
Author_Institution :
Fac. of Electr. Eng., Univ. Teknikal Malaysia Melaka, Melaka, Malaysia
fYear :
2014
Firstpage :
511
Lastpage :
516
Abstract :
Implementation of verification procedures is required to eliminate design errors that decrease the safety of an automation system. Design errors may vary from case to case but will certainly jeopardize the safety of manufacturing lines and operators. Therefore, checking the possibility of state transitions in the control systems from safe to unsafe states is essential. Formal verification via model checking procedures has proven to be efficient and is widely used. System finite element models are employed to automatically verify certain correctness properties. In this paper, we introduce a method of model checking technique for logic control design. A checking procedure based on Gröbner bases (GB) model is used to analyze and design a controller that meets the requirements defined by a predetermined safety function. We compare our proposed method with symbolic computation tree logic (CTL) model checking based on binary decision diagrams (BDDs). We implemented this technique to a case study by using a crane system.
Keywords :
binary decision diagrams; control system analysis; control system synthesis; cranes; formal verification; manufacturing systems; trees (mathematics); BDD-based model checking method; CTL model checking; GB model; Grobner base model; automation system safety; binary decision diagrams; controller analysis; controller design; correctness properties; crane system; design error elimination; formal verification; logic control design; manufacturing line safety; manufacturing operator safety; state transitions; symbolic computation tree logic; system finite element models; unsafe states; verification procedures; Boolean functions; Control systems; Cranes; Data structures; Model checking; Polynomials; Safety;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
Type :
conf
DOI :
10.1109/ICARCV.2014.7064357
Filename :
7064357
Link To Document :
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