scholarly journals Pharmaceutical Cleanroom Classification using ISO 14644-1 and the EU GGMP Annex 1 Part 1: Testing rationale

2020 ◽  
Author(s):  
TIm Eaton
Keyword(s):  
Control System ◽  
Key Words ◽  
Test Method ◽  
Contamination Control ◽  
System A ◽  
Airborne Contamination ◽  
The Eu ◽  
Classification Test

Cleanroom classification is an essential part of the qualification activities in pharmaceutical cleanrooms that confirm the effectiveness of the cleanroom’s airborne contamination control system. A review of the classification requirements and principles associated with ISO 14644-1:2015 and the 2008 version of Annex 1 of the EU GGMP is contained in this first article, and a suitable classification test method derived for aseptic manufacturing. A second article will consider the application of the method by means of practical examples. ​ Key words: Cleanroom classification, ISO 14644-1, EU GGMP Annex 1

scholarly journals Pharmaceutical Cleanroom Classification using ISO 14644-1 and the EU GGMP Annex 1 Part 2: Practical Application

2020 ◽  
Author(s):  
Tim Eaton
Keyword(s):  
Key Words ◽  
Test Method ◽  
Practical Application ◽  
Medicinal Products ◽  
The Eu ◽  
Classification Test

Classification of cleanrooms and clean zones associated with the manufacture of medicinal products has been assessed in two articles. The first article discussed the classification requirements and principles associated with ISO 14644-1 and Annex 1 of the EU GGMP, and a suitable classification test method for aseptic manufacturing was derived. This second article considers the practical application of the method for the classification of a pharmaceutical cleanroom, and isolator located within it. Key words: Cleanroom classification, ISO 14644-1, EU GGMP Annex 1

Evidence on Food Control System in Charitable Food Assistance System: A Systematic Scoping Review

2018 ◽  
Author(s):  
Sizwe Makhunga ◽  
Tivani P. Mashamba-Thompson ◽  
Mbuzeleni Hlongwa ◽  
Khumbulani W. Hlongwana
Keyword(s):  
Control System ◽  
Scoping Review ◽  
Food Assistance ◽  
Assistance System ◽  
Food Control ◽  
System A

Multi-layer controller with state-constraint: Vehicle lateral stability control based on fuzzy logic

2021 ◽  
pp. 095440702110142
Author(s):  
Neng Wan ◽  
Guangping Zeng ◽  
Chunguang Zhang ◽  
Dingqi Pan ◽  
Songtao Cai
Keyword(s):  
Control System ◽  
Integrated Control ◽  
State Constraint ◽  
Stability Control ◽  
Lateral Stability ◽  
System A ◽  
Velocity Reduction ◽  
Vehicle Velocity ◽  
Allowable Range ◽  
Simulation Results

This paper deals with a new state-constrained control (SCC) system of vehicle, which includes a multi-layer controller, in order to ensure the vehicle’s lateral stability and steering performance under complex environment. In this system, a new constraint control strategy with input and state constraints is applied to calculate the steady-state yaw moment. It ensures the vehicle lateral stability by tracking the desired yaw rate value and limiting the allowable range of the side slip. Through the linkage of the three-layer controller, the tire load is optimized and achieve minimal vehicle velocity reduction. The seven-degree-of-freedom (7-DOF) simulation model was established and simulated in MATLAB to evaluate the effect of the proposed controller. Through the analysis of the simulation results, compared with the traditional ESC and integrated control, it not only solves the problem of obvious velocity reduction, but also solves the problem of high cost and high hardware requirements in integrated control. The simulation results show that designed control system has better performance of path tracking and driving state, which is closer to the desired value. Through hardware-in-the-loop (HIL) practical experiments in two typical driving conditions, the effectiveness of the above proposed control system is further verified, which can improve the lateral stability and maneuverability of the vehicle.

Combined Test of Capacity Regulating in 1100kV Controlled Shunt Reactor Valve-Control System

2014 ◽  
Vol 977 ◽  
pp. 334-337
Author(s):  
Xi Lei ◽  
Gui Zhi Xu ◽  
Ke Zheng Xing
Keyword(s):  
Control System ◽  
Test Method ◽  
System Stability ◽  
Shunt Reactor ◽  
Flexible Ac Transmission ◽  
Flexible Ac Transmission System ◽  
Combined Test ◽  
Controlled Shunt Reactor ◽  
Ac Transmission ◽  
Valve Control

As a flexible AC transmission system equipment, controlled shunt reactor is becoming increasingly important in the grid with the development of EHV / UHV transmission systems. Since currently rated voltage of controlled shunt reactor has developed to 1100kV, as its capacity control system, or valve-control system, stability and reliability test is very important. In this paper, the test circuit and method for the valve-control system in the laboratory or the test station for combined adjustment test is put forward. By adjustment of power supply and the device parameter, the valve-control system can put the voltage and current of the device to be the same as the on-set operation. Actual test of the world's first 1100kV controlled shunt reactor valve-control system shows that, the test method in this paper is correct and feasible, and the objective of assessment can be achieved.

scholarly journals Decentralized Optimization for a Novel Control Structure of HVAC System

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Shiqiang Wang ◽  
Jianchun Xing ◽  
Ziyan Jiang ◽  
Juelong Li
Keyword(s):  
Control System ◽  
Decentralized Control ◽  
Control Structure ◽  
Optimization Method ◽  
Labor Cost ◽  
Smart Device ◽  
Hvac System ◽  
Decentralized Optimization ◽  
System A ◽  
Novel Method

A decentralized control structure is introduced into the heating, ventilation, and air conditioning (HVAC) system to solve the high maintenance and labor cost problem in actual engineering. Based on this new control system, a decentralized optimization method is presented for sensor fault repair and optimal group control of HVAC equipment. Convergence property of the novel method is theoretically analyzed considering both convex and nonconvex systems with constraints. In this decentralized control system, traditional device is fitted with a control chip such that it becomes a smart device. The smart device can communicate and operate collaboratively with the other devices to accomplish some designated tasks. The effectiveness of the presented method is verified by simulations and hardware tests.

Control System for the Mountainous Orchard Electric-Drive Monorail Transporter

2015 ◽  
Vol 738-739 ◽  
pp. 935-940 ◽  
Author(s):  
Zhen Li ◽  
Pei Xu ◽  
Yu Ping Ouyang ◽  
Shi Lei Lv ◽  
Qiu Fang Dai
Keyword(s):  
Control System ◽  
Electric Drive ◽  
Gear Ratio ◽  
System A ◽  
Speed Measurement ◽  
Driving Speed ◽  
Current Consumption ◽  
Operation Risk ◽  
Load Weight ◽  
Steep Hill

In order to reduce operation risk and working intensity in mountainous orchard transportation and to realize optimized control for the mountainous orchard electric-drive monorail transportation system, a mountainous orchard electric-drive monorail transporter control system was designed and developed in this study. The system mainly consists of modules as: manual and remote control, positioning, obstacle avoidance, speed measurement, motor control, electric-magnetic break, and the position limit. The driving speed, current consumption, break control, and battery pack running ability experiments were conducted to test the control system. Results indicated that, the transporter’s driving speed is 0.60~0.58 m/s when it is running on the ground with the load weight from 0 to 100kg. This speed is little affected by the load weight. The transporter’s driving speed is 0.45~0.28 m/s when it is climbing a steep hill with an angle of 39°. That speed is critically affected by the load weight. In further improvements, a shift mechanism will be introduced so that adjustable gear ratio could be achieved thus solve the current overload problem in a full load situation.

scholarly journals VILNIUS ADVANCED-SURFACE MOVEMENT GUIDANCE AND CONTROL SYSTEM (A-SMGCS) SAFETY OBJECTIVES / VILNIAUS AERODROMO AUTOMATIZUOTOS ANTŽEMINIO EISMO STEBĖJIMO IR KONTROLĖS SISTEMOS SAUGOS TIKSLŲ ANALIZĖ

Aviation ◽  
2012 ◽  
Vol 16 (4) ◽  
pp. 130-135
Author(s):  
Vaidotas Kondroška ◽  
Jonas Stankūnas
Keyword(s):  
Control System ◽  
System Analysis ◽  
Flight Safety ◽  
Frequency Of Occurrence ◽  
Surface Movement ◽  
Safety Requirements ◽  
Methods Of Determination ◽  
Guidance And Control ◽  
System A ◽  
And Control

This work reviews the innovative and progressive methods of determination and analysis of safety objectives using Vilnius A-SMGCS example. The aim of the analysis is to determine how failures in this system could affect flight safety in Vilnius aerodrome. Identified safety objectives will limit the frequency of occurrence of hazards enough for the associated risk to be acceptable, and will ensure that appropriate mitigation means are reflected subsequently as Safety Requirements for the system. Analysis reflects aspects of A-SMGCS Safety objectives, which should be taken into consideration. Santrauka Darbe apžvelgiami progresyvūs saugos tikslų analizės metodai pagal Vilniaus aerodromo automatizuotos antžeminio eismo stebėjimo ir kontrolės sistemos veiklos pavyzdį. Analizuojama, kaip šios sistemos sutrikimai gali paveikti skrydžių saugą Vilniaus aerodrome. Remiantis galimų pavojų skrydžių saugai analize, tyrime nustatyti saugos tikslai, pagal kuriuos vėliau bus numatomos riziką mažinančios priemonės (galimų pavojų neutralizavimui ar kylančios rizikos sumažinimui iki priimtino lygio). Straipsnyje pateikiami veiksniai, kuriuos reikėtų įvertinti nustatant aerodromo automatizuotos antžeminio eismo stebėjimo ir kontrolės sistemos saugos tikslus.

Building a Cybersecurity Culture in the Industrial Control System Environment

2019 ◽  
Vol 8 (1) ◽  
pp. 39-44
Author(s):  
Claudia ARAUJO MACEDO ◽  
Jos MENTING
Keyword(s):  
Control System ◽  
Control Systems ◽  
Cyber Attacks ◽  
Cyber Attack ◽  
Industrial Control System ◽  
Security Measures ◽  
Industrial Control ◽  
Industrial Control Systems ◽  
System A ◽  
Educational Processes

Cybersecurity in industrial control system environments has become a significant concern and is even more relevant in the context of critical infrastructures where control system disruption could have a profound impact on health, safety and the environment. This makes this type of system a major target for malicious activities. Notwithstanding an organization’s interest in protecting its industrial control systems against cyber-attacks, the implementation of security measures, whether technical, organizational or human, still faces resistance and is often seen as a constraint. Using the best technology to protect industrial control systems makes no sense if persons with access do not act attentively and protectively. Technical and human cybersecurity measures are intrinsically linked, and it is essential that all persons with access to these systems are fully aware of the inherent cyber risks. Organizations must also act so that staff receive appropriate training on how to keep systems continuously protected against cyber-attack when carrying out their daily tasks. These educational processes can contribute to building an effective cybersecurity culture fully reflective of management and staff attitudes, so that the availability, integrity and confidentiality of information in industrial control systems can be assured.

A Design Method of TDOF Controller for Sampled-Data Control System: A Method Using Dynamical Model of Feedback Controller

1999 ◽  
Author(s):  
Mitsuo Hirata ◽  
Akiyo Murase ◽  
Takenori Atsumi ◽  
Kenzo Nonami
Keyword(s):  
Control System ◽  
Design Method ◽  
Feedback Controller ◽  
Dynamical Model ◽  
Sampled Data ◽  
System A ◽  
Data Control ◽  
Sampled Data Control ◽  
Model Transfer ◽  
Two Degree Of Freedom

Abstract It has been proposed the design method of the two-degree-of-freedom (TDOF) controller which use the dynamical model of the feedback controller. In this study, we apply this design method to the sampled-data control system. The TDOF controller is obtained so that the output of the TDOF system follows the output of the model transfer function considering the intersample behaviors.

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