Progress in sensor technology - progress in process control? Part I: Sensor property investigation and classification

2003 ◽  
Vol 47 (2) ◽  
pp. 103-112 ◽  
Author(s):  
L. Rieger ◽  
J. Alex ◽  
S. Winkler ◽  
M. Boehler ◽  
M. Thomann ◽  
...  
Keyword(s):  
Control Strategies ◽  
Sensor Technology ◽  
Limiting Factor ◽  
Test Environment ◽  
Sensor Property ◽  
Sensor Models ◽  
The Cost ◽  
And Control ◽  
Measurement And Control

To ensure correctly operating control systems, the measurement and control equipment in WWTPs must be mutually consistent. The dynamic simulation of activated sludge systems could offer a suitable tool for designing and optimising control strategies. Ideal or simplified sensor models represent a limiting factor for comparability with field applications. More realistic sensor models are therefore required. Two groups of sensor models are proposed on the basis of field and laboratory tests: one for specific sensors and another for a classification of sensor types to be used with the COST simulation benchmark environment. This should lead to a more realistic test environment and allow control engineers to define the requirements of the measuring equipment as a function of the selected control strategy.

Learning and control

2018 ◽  
Author(s):  
Ivan Herreros
Keyword(s):  
Machine Learning ◽  
Reinforcement Learning ◽  
Brain Function ◽  
Control Strategies ◽  
Learning Problems ◽  
Animal Learning ◽  
Feed Forward Control ◽  
Machine Learning Applications ◽  
And Control

This chapter discusses basic concepts from control theory and machine learning to facilitate a formal understanding of animal learning and motor control. It first distinguishes between feedback and feed-forward control strategies, and later introduces the classification of machine learning applications into supervised, unsupervised, and reinforcement learning problems. Next, it links these concepts with their counterparts in the domain of the psychology of animal learning, highlighting the analogies between supervised learning and classical conditioning, reinforcement learning and operant conditioning, and between unsupervised and perceptual learning. Additionally, it interprets innate and acquired actions from the standpoint of feedback vs anticipatory and adaptive control. Finally, it argues how this framework of translating knowledge between formal and biological disciplines can serve us to not only structure and advance our understanding of brain function but also enrich engineering solutions at the level of robot learning and control with insights coming from biology.

scholarly journals Dynamic Analysis and Control of an Automatic Transmission for Start-Stop Function and Efficiency Improvement

2015 ◽  
Vol 2015 ◽  
pp. 1-13
Author(s):  
Yang Liu ◽  
Shuhan Wang ◽  
Peng Dong ◽  
Xiangyang Xu
Keyword(s):  
Control Strategies ◽  
Automatic Transmission ◽  
Simulation Method ◽  
Transmission Efficiency ◽  
The Novel ◽  
Test Results ◽  
Test Environment ◽  
Pump System ◽  
Oil Pump ◽  
And Control

An electric oil pump (EOP) was integrated into the hydraulic system and an automatic transmission (AT) mechanical oil pump (MOP) was downsized. These processes were performed to combine a start-stop function with the AT and further improve the transmission efficiency. Furthermore, this study established a dynamics model of power loss and leakage of an 8-speed AT; a flow-based control algorithm of the EOP was then developed to realize the start-stop function and support the MOP to meet the flow requirement of the system. Based on a driving simulation method, sizes of the MOP and EOP that ensured optimal fuel economy were selected. A control strategy for the starting clutch was also developed to minimize the starting delay of the test vehicle. A test environment on a rig and prototype vehicle was established to verify the feasibility of the proposed control strategies. The test results indicated that the transmission functioned favorably with the novel two-pump system presented, and a quick and smooth starting performance was achieved when the engine was restarted. The findings in this study are extremely valuable for forward designs of an AT for realizing start-stop function and improving efficiency.

scholarly journals A Simplified Model Predictive Control for T-Type Inverter with Output LC Filter

Energies ◽  
2018 ◽  
Vol 12 (1) ◽  
pp. 31 ◽  
Author(s):  
Van-Quang-Binh Ngo ◽  
Minh-Khai Nguyen ◽  
Tan-Tai Tran ◽  
Young-Cheol Lim ◽  
Joon-Ho Choi
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Performance Simulation ◽  
Control Scheme ◽  
Finite Control ◽  
Lc Filter ◽  
The Cost ◽  
And Control ◽  
Measurement And Control ◽  
Selection Of

In this paper, a model predictive control scheme for the T-type inverter with an output LC filter is presented. A simplified dynamics model is proposed to reduce the number of the measurement and control variables, resulting in a decrease in the cost and complexity of the system. Furthermore, the main contribution of the paper is the approach to evaluate the cost function. By employing the selection of sector information distribution in the reference inverter voltage and capacitor voltage balancing, the execution time of the proposed algorithm is significantly reduced by 36% compared with conventional model predictive control without too much impact on control performance. Simulation and experimental results are studied and compared with conventional finite control set model predictive control to validate the effectiveness of the proposed method.

scholarly journals The measurement and control of high-risk host cell proteins for polysorbate degradation in biologics formulation

2022 ◽  
Author(s):  
Xuanwen Li ◽  
Fengqiang Wang ◽  
Hong Li ◽  
Douglas D Richardson ◽  
David J Roush
Keyword(s):  
High Risk ◽  
Host Cell ◽  
Method Development ◽  
Control Strategies ◽  
Ionic Surfactant ◽  
Formulation Development ◽  
High Concentration ◽  
Host Cell Proteins ◽  
And Control ◽  
Measurement And Control

Abstract Non-ionic surfactant polysorbates (PS), including PS-80 and PS-20, are commonly used in the formulation of biotherapeutic products for both preventing surface adsorption and acting as stabilizer against protein aggregation. Trace levels of residual host cell proteins (HCPs) with lipase or esterase enzymatic activity have been shown to degrade polysorbates in biologics formulation. The measurement and control of these low-abundance, high-risk HCPs for polysorbate degradation is an industry-wide challenge to achieve desired shelf-life of biopharmaceuticals in liquid formulation, especially for high-concentration formulation product development. Here, we reviewed the challenges, recent advances and future opportunities of analytical method development, risk assessment and control strategies for polysorbate degradation during formulation development with a focus on enzymatic degradation. Continued efforts to advance our understanding of polysorbate degradation in biologics formulation will help develop high-quality medicines for patients.

scholarly journals Application of soft sensor technology in HVAC system test

2021 ◽  
Vol 261 ◽  
pp. 01013
Author(s):  
Changbao Guo
Keyword(s):  
Air Conditioning ◽  
Rapid Development ◽  
Sensor Technology ◽  
Measurement Technology ◽  
Hvac System ◽  
Air Conditioning System ◽  
Test Parameters ◽  
Soft Measurement ◽  
And Control ◽  
Measurement And Control

With the rapid development of modern society, the measurement and control requirements of key variables of air conditioning test technology are also increasing. When the parameters of HVAC system are measured and controlled, there are a large number of sensors and instruments used. When sensor failure or measurement error distortion occurs, the air conditioning system cannot operate normally and automatically. At the same time, some variables in the test parameters cannot be directly collected by the sensor. In order to solve these problems, researchers have focused on soft measurement technology in recent years, which provides a good breakthrough for the measurement and control of air conditioning system test parameters. This paper expounds the application of soft measurement technology in HVAC system.

Modelling food safety and economic consequences of surveillance and control strategies for Salmonella in pigs and pork

2010 ◽  
Vol 139 (5) ◽  
pp. 754-764 ◽  
Author(s):  
F. M. BAPTISTA ◽  
T. HALASA ◽  
L. ALBAN ◽  
L. R. NIELSEN
Keyword(s):  
Cost Effectiveness ◽  
Food Safety ◽  
Control Strategies ◽  
Cost Effective ◽  
Economic Consequences ◽  
Informed Decision Making ◽  
Effectiveness Analysis ◽  
Stochastic Simulation Model ◽  
The Cost ◽  
And Control

SUMMARYTargets for maximum acceptable levels of Salmonella in pigs and pork are to be decided. A stochastic simulation model accounting for herd and abattoir information was used to evaluate food safety and economic consequences of different surveillance and control strategies, based among others on Danish surveillance data. An epidemiological module simulated the Salmonella carcass prevalence for different scenarios. Cost-effectiveness analysis was used to compare the costs of the different scenarios with their expected effectiveness. Herd interventions were not found sufficient to attain Salmonella carcass prevalence <1%. The cost-effectiveness of abattoir interventions changed with abattoir size. The most cost-effective strategy included the use of steam vacuum and steam ultrasound. Given uncertainty of the effect of steam vacuum and steam ultrasound, model results should be updated as more information becomes available. This framework contributes to informed decision-making for a more cost-effective surveillance and control of Salmonella in pigs and pork.

SwarmSim: a framework for modeling swarming unmanned aerial vehicles using hardware-in-the-loop

2017 ◽  
pp. 154851291771515
Author(s):  
Derek B Worth ◽  
Brian G Woolley ◽  
Douglas D Hodson
Keyword(s):  
Control Strategies ◽  
Hardware In The Loop ◽  
Simulation Framework ◽  
Functional Capability ◽  
Simulation Tools ◽  
Steady Growth ◽  
Aerial Vehicle ◽  
The Cost ◽  
Software Extension ◽  
And Control

Unmanned Aerial Vehicle (UAV) swarm applications, algorithms, and control strategies have experienced steady growth and development over the past 15 years. Yet, to date, most swarm development efforts have gone untested and unimplemented. The major inhibitors to successful swarm implementation seem to include the cost of aircraft systems, government imposed airspace restrictions, and the lack of adequate modeling and simulation tools. This paper examines how the open-source OpenEaagles simulation framework was leveraged to bridge this gap to create Hardware-in-the-Loop (HIL) simulations. Leveraging OpenEaagles through software extension to create HIL simulations provides developers with a functional capability with which to develop and test the behaviors of scalable and modular swarms of autonomous UAVs. Using HIL-based simulations in this capacity provides assurance that defined behaviors will propagate to live flight tests in the real world. The demonstrations in the work show how the framework enhances and simplifies swarm development through encapsulation, possesses high modularity, provides realistic aircraft modeling, and is capable of simultaneously accommodating multiple hardware-piloted and purely simulated swarming UAVs during simulation.

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