scholarly journals The optimal online control of the instantaneous power and the multiphase source’s current

2017 ◽  
Vol 65 (6) ◽  
pp. 827-832
Author(s):  
M. Siwczyński ◽  
K. Hawron
Keyword(s):  
Control Algorithm ◽  
Power Source ◽  
Additional Constraint ◽  
Real Time Control ◽  
Instantaneous Power ◽  
Time Control ◽  
Optimal Criterion ◽  
Instantaneous Current ◽  
Recursive Digital Filter ◽  
The Mathematical Model

AbstractThe paper presents the new optimal real-time control algorithm of the power source. The minimum of the square-instantaneous current was assumed as an optimal criterion, with an additional constraint on source instantaneous power. The mathematical model of a multiphase source was applied as a voltage-current convolution in the discrete time domain. The resulting control algorithm was the recursive digital filter with infinite recursion.

Research on Fuzzy Control of Mine Ventilation Based on Embedded Systems

2014 ◽  
Vol 686 ◽  
pp. 126-131
Author(s):  
Xiao Yan Sha
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Control Unit ◽  
Real Time Control ◽  
Embedded Processor ◽  
Feed Forward ◽  
Time Control ◽  
Software And Hardware

Taking embedded processor as the core control unit, the paper designs the fan monitoring system software and hardware to achieve the fan working condition detection and real-time control. For the control algorithm, the paper analyzes the fuzzy control system theory and composition, and then combined with tunnel ventilation particularity, introduce feed-forward model to predict the incremental acquisition of pollutants to reduce lag, combined with the system feedback value and the set value, by calculate of two independent computing fuzzy controller, and ultimately determine the number of units increase or decrease in the tunnel jet fans start and stop. Through simulation analysis, the introduction of a feed-forward signal, it can more effectively improve the capability of the system impact of interference.

scholarly journals Automatic Control of the Middle Route Project for South-to-North Water Transfer Based on Linear Model Predictive Control Algorithm

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1873 ◽  
Author(s):  
Kong ◽  
Quan ◽  
Yang ◽  
Song ◽  
Zhu
Keyword(s):  
Control System ◽  
Model Predictive Control ◽  
Automatic Control ◽  
Predictive Control ◽  
Control Algorithm ◽  
Water Transfer ◽  
Water Delivery ◽  
Real Time Control ◽  
Time Control ◽  
North Water

The application of automatic control to irrigation canals is an important means of improving the efficiency of water delivery. The Middle Route Project (MRP) for South-to-North Water Transfer, the largest water transfer project in China, is currently under manual control. Given the complexity of the MRP, there is an urgent need to adopt some form of automatic control. This paper describes the application of model predictive control (MPC), a popular real time control algorithm particularly suited to the automatic control of multi-pool irrigation water delivery systems, to the MRP using a linear control model. This control system is tested in part of the MRP by means of numerical simulations. The results show that the control system can deal with both known and unknown disturbances, albeit with a degree of resonance in some short pools. However, it takes a long time for the MRP to reach a stable state under the MPC system and the calculation time for the whole MRP network would be too long to satisfy the requirements of real-time control. Suggestions are presented for the construction of an automatic control system for the MRP.

Real-Time Control Algorithm for Hybrid System Using Gear Shift Map and Mode Conversion Map

2020 ◽  
Vol 21 (1) ◽  
pp. 41-49
Author(s):  
Sung Hyun Lim ◽  
Jinseong Kim ◽  
Yeong Il Park
Keyword(s):  
Real Time ◽  
Hybrid System ◽  
Control Algorithm ◽  
Mode Conversion ◽  
Real Time Control ◽  
Gear Shift ◽  
Time Control ◽  
Shift Map

An application of real-time control systems to robotics

Robotica ◽  
2001 ◽  
Vol 19 (3) ◽  
pp. 323-329 ◽  
Author(s):  
Carmen Monroy ◽  
Ricardo Campa ◽  
Rafael Kelly
Keyword(s):  
Control Systems ◽  
Real Time ◽  
Control Algorithm ◽  
Computing Environment ◽  
Real Time Control ◽  
Time Control ◽  
On Line ◽  
Robot Performance ◽  
Single Processor ◽  
Selection Of

This paper illustrates basic concepts of real-time control systems through the application of a real-time single-processor computing environment for the control of a robotic arm. The paper describes elements for the selection of the real-time architecture, the control algorithm and the graphical user interface. The system provides an opportunity for users to verify the robot performance by changing on-line the controller parameters and the shape of the desired motion.

scholarly journals Optimisation of a fuzzy logic-based local real-time control system for mitigation of sewer flooding using genetic algorithms

2019 ◽  
Vol 22 (2) ◽  
pp. 281-295 ◽  
Author(s):  
S. R. Mounce ◽  
W. Shepherd ◽  
S. Ostojin ◽  
M. Abdel-Aal ◽  
A. N. A. Schellart ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Control Algorithm ◽  
Expert Knowledge ◽  
Economic Losses ◽  
Rainfall Time Series ◽  
Real Time Control ◽  
Spare Capacity ◽  
Time Control ◽  
Drainage Networks

Abstract Urban flooding damages properties, causes economic losses and can seriously threaten public health. An innovative, fuzzy logic (FL)-based, local autonomous real-time control (RTC) approach for mitigating this hazard utilising the existing spare capacity in urban drainage networks has been developed. The default parameters for the control algorithm, which uses water level-based data, were derived based on domain expert knowledge and optimised by linking the control algorithm programmatically to a hydrodynamic sewer network model. This paper describes a novel genetic algorithm (GA) optimisation of the FL membership functions (MFs) for the developed control algorithm. In order to provide the GA with strong training and test scenarios, the compiled rainfall time series based on recorded rainfall and incorporating multiple events were used in the optimisation. Both decimal and integer GA optimisations were carried out. The integer optimisation was shown to perform better on unseen events than the decimal version with considerably reduced computational run time. The optimised FL MFs result in an average 25% decrease in the flood volume compared to those selected by experts for unseen rainfall events. This distributed, autonomous control using GA optimisation offers significant benefits over traditional RTC approaches for flood risk management.

Control Design for Automated Vehicle Emergency Safe Stop System Based on Differential Dynamic Programming

2020 ◽  
Author(s):  
Lisheng Yang ◽  
Tomonari Furukawa ◽  
Lei Zuo ◽  
Zachary Doerzaph
Keyword(s):  
Dynamic Programming ◽  
Real Time ◽  
Control Algorithm ◽  
Computation Time ◽  
Grid Cell ◽  
System Control ◽  
Real Time Control ◽  
Differential Dynamic Programming ◽  
Time Control ◽  
Emergency Stop

Abstract This paper presents the control algorithm and system design for a newly proposed automated emergency stop system, which aims to navigate the vehicle out of its travel lane to a safe road-side location when an emergency (e.g. driver fails to take control during fallback of the Dynamic Driving Task) occurs. To address the unique requirements of such a system, control techniques based on differential dynamic programming are developed. Optimal control sequence computation is broken down into step-by-step quadratic optimization and solved iteratively. Control constraints are addressed efficiently by a tailored Projected-Newton algorithm. The iterative control algorithm is then integrated into a real-time control system which considers both computation delay and modeling errors. The system employs a novel grid-based storage structure for recording all acceptable control commands computed within the iteration and uses a high frequency estimator for self-localization. During operation, the real-time control thread will extract commands from the grid cell corresponding to current states. Simulation results show strong potential of the proposed system for addressing the engineering challenges of the automated emergency stop function. The robustness of the system in presence of computation time delay and modelling errors is also demonstrated.

Dimensioning battery energy storage systems for peak shaving based on a real-time control algorithm

2020 ◽  
Vol 280 ◽  
pp. 115993
Author(s):  
Christopher Lange ◽  
Alexandra Rueß ◽  
Andreas Nuß ◽  
Richard Öchsner ◽  
Martin März
Keyword(s):  
Energy Storage ◽  
Real Time ◽  
Control Algorithm ◽  
Storage Systems ◽  
Real Time Control ◽  
Peak Shaving ◽  
Battery Energy Storage ◽  
Time Control ◽  
Battery Energy Storage Systems ◽  
Battery Energy

Fuzzy Control of Parallel Robot Based on Step Motor Drive

2014 ◽  
Vol 933 ◽  
pp. 375-378
Author(s):  
Cai Hong Zhu ◽  
Hong Tao Zhang
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Parallel Robot ◽  
Small Error ◽  
Step Motor ◽  
Motor Drive ◽  
Real Time Control ◽  
Load Bearing Capacity ◽  
Time Control ◽  
Fuzzy Control Algorithm

Step motor features small in the volume, big in the torque and wide in the range of speed. Parallel robot possesses the characteristics of large rigidity, strong load bearing capacity and small error. Directed against the parallel robot mechanism with step motor drive, the closed-formed solutions were developed for both inverse and direct kinematics, a model of control system was establish, after that a kind of fuzzy control algorithm was designed, and a simulative experiment was made on the Matlab/Simulink. The result shows that this algorithm achieved high precision real-time control on this parallel robot.

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