Ecosystem Approach to the Simulation and Control of an Oil Refinery Waste Treatment Facility

1976 ◽  
Vol 98 (1) ◽  
pp. 20-29 ◽  
Author(s):  
G. D. Martin ◽  
R. J. Mulholland ◽  
K. W. Thornton
Keyword(s):  
System Performance ◽  
Waste Treatment ◽  
Biological Indicators ◽  
Ecosystem Approach ◽  
Oil Refinery ◽  
State Variable ◽  
Model Response ◽  
Computer Optimization ◽  
And Control ◽  
Optimization Search

Ecosystems of a series of linked treatment ponds for oil refinery effluent are modeled by state variable techniques and simulated using a digital computer. The model response verifies the observed behavior of the pond series. A control philosophy, using pond series flow rate and feedback aeration, and a measure of system performance, using biological indicators, are both developed. A computer optimization search is conducted in order to maximize system performance.

scholarly journals A Fusion Algorithm for Estimating Time-Independent/-Dependent Parameters and States

Sensors ◽  
2021 ◽  
Vol 21 (12) ◽  
pp. 4068
Author(s):  
Zheshuo Zhang ◽  
Jie Zhang ◽  
Jiawen Dai ◽  
Bangji Zhang ◽  
Hengmin Qi
Keyword(s):  
Unscented Kalman Filter ◽  
Time Estimation ◽  
Estimation Algorithm ◽  
Estimation Methods ◽  
Fusion Algorithm ◽  
State Variable ◽  
Current Estimation ◽  
Real Time Estimation ◽  
And Control ◽  
Independent Parameters

Vehicle parameters are essential for dynamic analysis and control systems. One problem of the current estimation algorithm for vehicles’ parameters is that: real-time estimation methods only identify parts of vehicle parameters, whereas other parameters such as suspension damping coefficients and suspension and tire stiffnesses are assumed to be known in advance by means of an inertial parameter measurement device (IPMD). In this study, a fusion algorithm is proposed for identifying comprehensive vehicle parameters without the help of an IPMD, and vehicle parameters are divided into time-independent parameters (TIPs) and time-dependent parameters (TDPs) based on whether they change over time. TIPs are identified by a hybrid-mass state-variable (HMSV). A dual unscented Kalman filter (DUKF) is applied to update both TDPs and online states. The experiment is conducted on a real two-axle vehicle and the test data are used to estimate both TIPs and TDPs to validate the accuracy of the proposed algorithm. Numerical simulations are performed to further investigate the algorithm’s performance in terms of sprung mass variation, model error because of linearization and various road conditions. The results from both the experiment and simulation show that the proposed algorithm can estimate TIPs as well as update TDPs and online states with high accuracy and quick convergence, and no requirement of road information.

scholarly journals ДОСЯГНЕННЯ ЕФЕКТИВНОГО РОЗПОДІЛЕНОГО ПЛАНУВАННЯ ЗА ДОПОМОГОЮ ЧЕРГ ПОВІДОМЛЕНЬ У ХМАРІ ДЛЯ БАГАТОЗАДАЧНИХ ОБЧИСЛЕНЬ ТА ВИСОКОПРОДУКТИВНИХ ОБЧИСЛЕНЬ

2020 ◽  
Author(s):  
Старовойтенко Олексій Володимирович
Keyword(s):  
Distributed Systems ◽  
System Performance ◽  
State Of The Art ◽  
Computation Time ◽  
Cloud Services ◽  
Distributed Scheduling ◽  
Message Processing ◽  
Computational Problem ◽  
Control Units ◽  
And Control

Due to the growth of data and the number of computational tasks, it is necessary to ensure the required level of system performance. Performance can be achieved by scaling the system horizontally / vertically, but even increasing the amount of computing resources does not solve all the problems. For example, a complex computational problem should be decomposed into smaller subtasks, the computation time of which is much shorter. However, the number of such tasks may be constantly increasing, due to which the processing on the services is delayed or even certain messages will not be processed. In many cases, message processing should be coordinated, for example, message A should be processed only after messages B and C. Given the problems of processing a large number of subtasks, we aim in this work - to design a mechanism for effective distributed scheduling through message queues. As services we will choose cloud services Amazon Webservices such as Amazon EC2, SQS and DynamoDB. Our FlexQueue solution can compete with state-of-the-art systems such as Sparrow and MATRIX. Distributed systems are quite complex and require complex algorithms and control units, so the solution of this problem requires detailed research.

A Rapid Recursive Experimental Approach to Structure/Control Re-Design

1995 ◽  
Author(s):  
Anton Pil ◽  
Haruhiko Asada
Keyword(s):  
System Performance ◽  
Recursive Algorithm ◽  
Descent Method ◽  
Gradient Descent Method ◽  
Control Parameters ◽  
Multiple Control ◽  
Mechatronic Systems ◽  
Loop Control ◽  
Structural Reinforcement ◽  
And Control

Abstract This paper introduces an experimental recursive method for simultaneously changing both the mechanical structure and control design of mechatronic systems in order to improve the system’s overall performance. The method improves a system’s closed-loop control specifications through recursive concurrent structure reinforcement and control gain optimization. By using a process of structural reinforcement, a single prototype structure can be used repeatedly until the system performance goals are achieved. To determine the optimal incremental structure changes, a recursive algorithm based on a gradient descent method and a parameter estimation theory is employed. After the incremental structure reinforcements are applied, the control parameters are optimized with respect to multiple control specifications. Next, the resulting system incorporating the structure and control changes is tested and compared with the desired level of performance. The entire process consisting of experimental evaluation, data analysis, and structure reinforcement is repeated until the system performance achieves the desired level. Simulation experiments are successful in changing both the structural and control parameters of a simplified positioning system and show improvement in the system’s overall settling time.

Electronic surveillance system for COVID-19 virus management in Palestine- an observational study

2021 ◽  
Vol 12 (4) ◽  
pp. 0-0
Keyword(s):  
System Performance ◽  
Surveillance System ◽  
Prevention And Control ◽  
Willingness To Participate ◽  
Electronic Surveillance ◽  
Effective Prevention ◽  
Health Facility Level ◽  
Facility Level ◽  
And Control ◽  
Virus Management

This research investigated the performance of the electronic surveillance system of COVID 19 and assessed its key attributes. The research results for the overall system performance were good (82.81%). The highest attribute score was 100% for representativeness and data completeness and the lowest score was 75.30% for acceptability. The COVID-19 surveillance system is generally simple and accepted by users, although the instability of electricity and the Internet, the benefit from the training on the system, and the lack of willingness to participate in the system at the health facility level had the greatest impact on simplicity and acceptability scores. The quality and completeness of the data enabled stakeholders to carry out the most effective prevention and control activities. System developers indicated that the system has achieved the desired benefit, due to the flexibility and stability of the system and comprehensiveness of geographical coverage.

In Search of the Jerk Element

2021 ◽  
Author(s):  
Zachary P. Belyaev ◽  
Samuel N. Downes ◽  
Philip A. Voglewede
Keyword(s):  
Magnetic Field ◽  
Motion Planning ◽  
System Performance ◽  
Theoretical Background ◽  
Physical Parameters ◽  
Common Elements ◽  
Planning And Control ◽  
Magneto Rheological ◽  
And Control ◽  
The Magnetic Field

Abstract Mechanical components, such as springs, dampers and mass, alter and influence an engineered system’s motion based upon a system’s position, velocity and acceleration, respectively. This paper aims to discover and develop another element (dubbed the damper) which provides a force proportional to a system’s jerk (i.e., the derivative of acceleration) to better engineer a system’s response. By utilizing the known applications of jerk in motion planning and control theory, existing possible physical implementations and uses of jerk and the jerk element are discussed in relation to its influence on the system’s response, specifically vibration. Using a Buckingham Pi approach, the theoretical background of the jerk element is presented and possible physical parameters are combined to show how the jerk element could be created from common elements and parameters. The most promising approach of varying the magnetic field of existing magneto-rheological dampers is developed to give an example of the jerk element along with the difficulties and concerns in developing the jerk element. This paper serves less of a purpose towards answering all questions of the jerk element, but rather focuses more on posing the appropriate questions which sets the stage for an easily realizable future jerk element which can improve system performance.

An Integrated Design Approach of Local Control System of a Linear Drive Single Facet Heliostat

2016 ◽  
Author(s):  
M. M. Nageb ◽  
A. A. El-Samahy ◽  
M. A. Rady ◽  
A. M. A. Amin ◽  
R. H. Abd El-Hamid ◽  
...  
Keyword(s):  
Control System ◽  
System Performance ◽  
Integrated Design ◽  
Control Design ◽  
Drive System ◽  
Solar Power Plant ◽  
Central Receiver ◽  
Design Variables ◽  
Integrated Design Approach ◽  
And Control

In a central receiver solar power plant, heliostats are arranged with respect to the central receiver so as to reflect the rays from the sun onto the power tower with high precision by tracking the sun in both the azimuth and elevation directions. The master control system of a solar power plant consists of different levels. The first level is local control; it takes care of the positioning of the heliostats when the aiming point and the time are given to the system, and informs upper level about the status of the heliostats field. The second logic level makes some important dispatch calculations of heliostats field. The most popular linear two-axis local driving system of heliostat consists of two linear driving actuators, the driving mechanism with rotary joints, and the controller. Traditional methods for heliostat design are often based on a sequential approach in which the mechanical structure is designed first and then the control system is advised. In order to reach the optimal design of heliostats, an integrated design approach that concurrently considers the interactions between the mechanical and control subsystems is necessary. In this article, an integrated design methodology of heliostat drive system is presented. The methodology is based on modeling and simulation. The dynamic models that describe the behavior of the mechanical and control components are presented. These models involve mechanical and control design variables such as the motor parameters, power screw (including back lash), heliostat mass, load forces, and wind forces. Matlab, Solidwork, and Simulink are chosen to apply PID tracking control to heliostats, due to the ability to arbitrarily model complex mechanical systems, directly import properly constructed, third-party 3D CAD models, simulate integrated control, handle a variety of robotics nomenclature, and other features. The present methodology is employed for integrated design of a single facet small size heliostat with mirror area of 3 m2.The methods described in this article also show a way to rapidly simulate novel and complex heliostat geometries. Analysis of the heliostat drive system performance and dynamic characteristics according to mechanical and control design variables is conducted for the purpose of control system design and performance optimization. The drive system performance is evaluated in terms of positioning tracking errors, system response, and control system behavior. It is shown that the mechanical characteristics of the ball power screw actuator such as ball-screw diameter, lead, overall flexibility, stiffness, backlash, and inertia significantly influence the performance of drive system.

DESIGN AND ANALYSIS OF FLC AND FEEDBACK CONTROL FOR THREE FINGER GRIPPER SYSTEM

2016 ◽  
Vol 78 (10-4) ◽  
Author(s):  
Nor Anis Aneza Lokman ◽  
Hamzah Ahmad ◽  
Mohd Razali Daud
Keyword(s):  
Fuzzy Logic ◽  
Feedback Control ◽  
System Performance ◽  
Fuzzy Membership ◽  
Logic Design ◽  
Matlab Simulink ◽  
Good Grasp ◽  
Research Findings ◽  
And Control

This paper presents the fuzzy logic design and control for three finger gripper system to grasp an object. Two objectives are mainly considered in this work, which are the analysis of different membership types and the gripper performance with feedback and without feedback control to support current research findings. The comparison is also including different number of rules analysis as well as the fuzzy membership types. The simulation and analysis are carried by using MATLAB Simulink and SimMechanics toolboxes to analyze the system performance. The result shows that the gripper system with trapezoidal memberships achieved faster response and good grasp. Besides that, the proposed system with feedback has produced the best result to grasp the object with suitable torques and angles in comparison to the non-feedback gripper system.

Estimation of Friction and States for Robust Control of Position Servo

2020 ◽  
Vol 142 (9) ◽  
Author(s):  
Shailaja Kurode ◽  
Bhagyashri Tamhane
Keyword(s):  
Robust Control ◽  
System Performance ◽  
Accurate Information ◽  
Position Tracking ◽  
Performance Tracking ◽  
Friction Component ◽  
Accurate Position ◽  
System States ◽  
State Estimations ◽  
And Control

Abstract Friction is an inherent nonlinearity in electromechanical systems. It adversely affects the system performance. The key challenge is to get its accurate information as it is not measurable. This paper proposes a two-observer concept for friction and state estimation. Novelty of proposal includes finite time convergent estimations of the friction component and the system states. These estimations are used to design a robust control for accurate position tracking in servosystem. It is shown that accurate friction and state estimations are obtained, and control efforts are reduced while achieving precise performance. Tracking performance is improved using proposed control. The outcome of the proposed methodology is validated through computer simulations and experimentations.

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