Model-free Learning for Safety-critical Control Systems: A Reference Governor Approach

2020 ◽  
Author(s):  
Kaiwen Liu ◽  
Nan Li ◽  
Ilya Kolmanovsky ◽  
Denise Rizzo ◽  
Anouck Girard
Keyword(s):  
Control Systems ◽  
Safety Critical ◽  
Model Free ◽  
Reference Governor

scholarly journals Overview of fault detection methods for power plant control systems purposes

2019 ◽  
pp. 127-129
Author(s):  
Dmytro Shram ◽  
Oleksandr Stepanets
Keyword(s):  
Fault Detection ◽  
Control Systems ◽  
Power Plants ◽  
Fault Detection And Isolation ◽  
Data Driven ◽  
Detection Methods ◽  
Model Free ◽  
Power Plant Control ◽  
Technical Details ◽  
Plant Control

The main objective of this paper is to review of fault detection and isolation (FDI) methods and applications on various power plants. Due to the focus of the topic, on model and model-free FDI methods, technical details were kept in the references. We will overview the methods in terms of model-based, data driven and signal based methods further in the paper. Principles of three FDI methods are explained and characteristics of number of some popular techniques are described. It also summarizes data-driven methods and applications related to power generation plants. Parts of control system applications of FDI in TPPs with possible faults are shown in the Table I. Some popular techniques for the various faults in TPPs are discussed also.

Reliability analysis and safety model checking of Safety-Critical and control Systems: A case study of NPP control system

2022 ◽  
Vol 166 ◽  
pp. 108812
Author(s):  
Vinay Kumar ◽  
Kailash Chandra Mishra ◽  
Pooja Singh ◽  
Aditya Narayan Hati ◽  
Mohan Rao Mamdikar ◽  
...  
Keyword(s):  
Control System ◽  
Model Checking ◽  
Reliability Analysis ◽  
Control Systems ◽  
Safety Critical ◽  
And Control

scholarly journals Learning reference governor for cycle-to-cycle combustion control with misfire avoidance in spark-ignition engines at high exhaust gas recirculation–diluted conditions

2020 ◽  
Vol 21 (10) ◽  
pp. 1819-1834
Author(s):  
Bryan P Maldonado ◽  
Nan Li ◽  
Ilya Kolmanovsky ◽  
Anna G Stefanopoulou
Keyword(s):  
Combustion Process ◽  
Exhaust Gas Recirculation ◽  
Operating Conditions ◽  
Intake Manifold ◽  
Exhaust Gas ◽  
Model Free ◽  
Recirculation Rate ◽  
Valve Position ◽  
Gas Recirculation ◽  
Reference Governor

Cycle-to-cycle feedback control is employed to achieve optimal combustion phasing while maintaining high levels of exhaust gas recirculation by adjusting the spark advance and the exhaust gas recirculation valve position. The control development is based on a control-oriented model that captures the effects of throttle position, exhaust gas recirculation valve position, and spark timing on the combustion phasing. Under the assumption that in-cylinder pressure information is available, an adaptive extended Kalman filter approach is used to estimate the exhaust gas recirculation rate into the intake manifold based on combustion phasing measurements. The estimation algorithm is adaptive since the cycle-to-cycle combustion variability (output covariance) is not known a priori and changes with operating conditions. A linear quadratic regulator controller is designed to maintain optimal combustion phasing while maximizing exhaust gas recirculation levels during load transients coming from throttle tip-in and tip-out commands from the driver. During throttle tip-outs, however, a combination of a high exhaust gas recirculation rate and an overly advanced spark, product of the dynamic response of the system, generates a sequence of misfire events. In this work, an explicit reference governor is used as an add-on scheme to the closed-loop system in order to avoid the violation of the misfire limit. The reference governor is enhanced with model-free learning which enables it to avoid misfires after a learning phase. Experimental results are reported which illustrate the potential of the proposed control strategy for achieving an optimal combustion process during highly diluted conditions for improving fuel efficiency.

Parameter Estimation for Quantitative Dependability Analysis of Safety-Critical and Control Systems of NPP

2018 ◽  
Vol 65 (5) ◽  
pp. 1080-1090 ◽  
Author(s):  
Vinay Kumar ◽  
Lalit Kumar Singh ◽  
Pooja Singh ◽  
Karm Veer Singh ◽  
Ashish Kumar Maurya ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Control Systems ◽  
Safety Critical ◽  
Dependability Analysis ◽  
And Control

Third Party HIL Testing of Safety Critical Control System Software on Ships and Rigs

2012 ◽  
Author(s):  
Øyvind Smogeli ◽  
Trond Augustson
Keyword(s):  
Control System ◽  
Control Systems ◽  
Technology Development ◽  
Emergency Situation ◽  
Third Party ◽  
System Software ◽  
Safety Critical ◽  
Test Methodology ◽  
Automation Systems ◽  
And Performance

The drilling industry is characterized by a rapid and up front technology development to conquer larger water and drilling depths. The level of automation has been steadily increasing over several decades, growing from manually operated sledge-hammer technology to space-age computer-based integrated systems. Most of the automation systems on today’s vessels are put into operation without independent testing. This is a paradox considering that a single control system may be more complex than all the mechanical systems onboard. It is also a paradox that the automation systems often contain safety-critical failure handling functionality that may be difficult or dangerous to test onboard the real vessel, and therefore is not properly tested until it is activated during an emergency situation. These automation systems are essential for the safety, reliability, and performance of the vessels. Examples are the Dynamic Positioning (DP) systems, Power Management systems, Drilling Control Systems, BOP control systems, Managed Pressure Drilling (MPD) systems, and crane control systems. Hardware-In-the-Loop (HIL) testing is a well proven test methodology from automotive, avionics, and space industries, and is now also gaining recognition in the marine and offshore industries. The aim of this paper is to clarify what HIL testing is, how third party HIL testing can be applied to safety critical control system software on drilling ships and rigs, and why this is an important contribution to technical safety, reliability and profitability of offshore operations.

Model-free Learning to Avoid Constraint Violations: An Explicit Reference Governor Approach

2019 ◽  
Author(s):  
Kaiwen Liu ◽  
Nan Li ◽  
Denise Rizzo ◽  
Emanuele Garone ◽  
Ilya Kolmanovsky ◽  
...  
Keyword(s):  
Model Free ◽  
Explicit Reference ◽  
Reference Governor
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