Sensor and actuator fault detection and isolation for a high performance aircraft engine bleed air temperature control system

2009 ◽  
Author(s):  
Lan Shang ◽  
Guangjun Liu
Keyword(s):  
Control System ◽  
Fault Detection ◽  
Air Temperature ◽  
Temperature Control ◽  
High Performance ◽  
Aircraft Engine ◽  
Fault Detection And Isolation ◽  
Temperature Control System ◽  
Actuator Fault ◽  
High Performance Aircraft

scholarly journals Fault detection and isolation in an aircraft engine bleed air system

2021 ◽  
Author(s):  
Lan Shang
Keyword(s):  
Control System ◽  
Heat Exchanger ◽  
Fault Detection ◽  
Air Temperature ◽  
Temperature Control ◽  
Fault Detection And Diagnosis ◽  
Temperature Control System ◽  
Control Command ◽  
Detection And Diagnosis ◽  
Valve Control

High temperature pressurized bleed air generated in the engine compressor is used for air conditioning in a jetliner. The engine bleed air must be regulated to a target temperature in the bleed air temperature control system using cold ram air before it can be used in the cabin or other low temperature area. The bleed air system is a control system that consists of sensors, and valve actuators. Potential faults associated with these components need to be considered in the design of the control system. This dissertation focuses on fault detection and diagnosis of the bleed air temperature control system. The faults in temperature sensors and valve actuators are detected using two unscented Kalman filters. The source of a fault is identified using the squared residuals. Nonlinear governing equations for the engine bleed air temperature control system are derived in state space form. Convergence analysis of the proposed fault detection and diagnosis methods is conducted. Heat exchanger is another core component in the bleed air temperature control system. A common fault associated with a heat exchanger is fouling which reduces the heat transfer efficiency, introduces additional resistance to flow, and increases fuel consumption. This dissertation presents a heat exchanger fouling detection method based on the valve control command of an engine bleed air temperature control system. Heat exchanger fouling is monitored by estimating the deviation of valve control command. A simulated bleed air temperature control system has been designed and built. Experiments have been conducted for temperature sensor fault, valve actuator fault, and heat exchanger fouling. Computer simulations for each of these cases are conducted and compared to experimental results.

scholarly journals Fault detection and isolation in an aircraft engine bleed air system

2021 ◽  
Author(s):  
Lan Shang
Keyword(s):  
Control System ◽  
Heat Exchanger ◽  
Fault Detection ◽  
Air Temperature ◽  
Temperature Control ◽  
Fault Detection And Diagnosis ◽  
Temperature Control System ◽  
Control Command ◽  
Detection And Diagnosis ◽  
Valve Control

High temperature pressurized bleed air generated in the engine compressor is used for air conditioning in a jetliner. The engine bleed air must be regulated to a target temperature in the bleed air temperature control system using cold ram air before it can be used in the cabin or other low temperature area. The bleed air system is a control system that consists of sensors, and valve actuators. Potential faults associated with these components need to be considered in the design of the control system. This dissertation focuses on fault detection and diagnosis of the bleed air temperature control system. The faults in temperature sensors and valve actuators are detected using two unscented Kalman filters. The source of a fault is identified using the squared residuals. Nonlinear governing equations for the engine bleed air temperature control system are derived in state space form. Convergence analysis of the proposed fault detection and diagnosis methods is conducted. Heat exchanger is another core component in the bleed air temperature control system. A common fault associated with a heat exchanger is fouling which reduces the heat transfer efficiency, introduces additional resistance to flow, and increases fuel consumption. This dissertation presents a heat exchanger fouling detection method based on the valve control command of an engine bleed air temperature control system. Heat exchanger fouling is monitored by estimating the deviation of valve control command. A simulated bleed air temperature control system has been designed and built. Experiments have been conducted for temperature sensor fault, valve actuator fault, and heat exchanger fouling. Computer simulations for each of these cases are conducted and compared to experimental results.

scholarly journals Air Temperature Control System in a Building on the Basis of Mathematical Modelling

2018 ◽  
Vol 155 ◽  
pp. 01041 ◽  
Author(s):  
Aleksandr Pilipenko ◽  
Sergei Petrov
Keyword(s):  
Computer Simulation ◽  
Control System ◽  
Mathematical Modelling ◽  
Mathematical Models ◽  
Air Temperature ◽  
Temperature Control ◽  
Automated System ◽  
Temperature Control System ◽  
Heating Systems ◽  
The Cost

In the article the authors solve a crucial objective of reducing the cost of heating services through the introduction of a system, controlling boilers and heating devices, based on modelling of the building and predicting heating systems functioning and operation. The authors describe the method of mathematical modelling of heating systems of the building and represent the developed mathematical models, pledged and installed into the developed automated system. The authors have offered an automated system of dispatch control of the boilers with the elements of computer simulation and modelling.

scholarly journals Thermal energy constant temperature control system of building energy system based on dynamic analysis method

2021 ◽  
Vol 25 (4 Part B) ◽  
pp. 2881-2888
Author(s):  
Hui Fu
Keyword(s):  
Control System ◽  
Dynamic Analysis ◽  
Constant Temperature ◽  
Air Temperature ◽  
Temperature Control ◽  
Indoor Environment ◽  
Temperature Control System ◽  
Analysis Method ◽  
Intelligent Building ◽  
Intelligent Buildings

If the intelligent building?s indoor environment?s constant temperature is accurately controlled, the comfort of the building can be improved. When we perform constant temperature control, there will be large fluctuations in the supply air temperature, which results in the traditional methods that cannot control the temperature within a reasonable range. Therefore, the paper proposes an optimal control method for the indoor environment constant temperature of intelligent buildings. In the IoT environment, we integrate the multi-agent technology to design the temperature fuzzy control structure, determine the input and output variables of the intelligent building temperature control system and its fuzzy set, use the dynamic analysis method to modify the fuzzy rules, and integrate it with bilinear The control algorithm builds a dynamic temperature control model for intelligent buildings to maintain the indoor temperature at the set value when the supply air temperature fluctuates significantly. This method makes up for the shortcomings that the current system cannot adapt to the intelligent building environment changes. The simulation results show that compared with the traditional algorithm, the improved algorithm can significantly improve the robustness of the intelligent building constant temperature control, and the temperature control stability is vital.

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