Seamless Mode-Switch Control Scheme for Primary Side Regulation Flyback with Capacitorless Self-Adaptive Startup

2021 ◽  
pp. 1-1
Author(s):  
Tianyuan Tang ◽  
Ping Luo ◽  
Chengda Deng ◽  
Bo Zhang
Keyword(s):  
Mode Switch ◽  
Switch Control ◽  
Control Scheme ◽  
Self Adaptive

scholarly journals Self-Adaptive Global-Best Harmony Search Algorithm-Based Airflow Control of a Wells-Turbine-Based Oscillating-Water Column

2020 ◽  
Vol 10 (13) ◽  
pp. 4628 ◽  
Author(s):  
Fares M’zoughi ◽  
Izaskun Garrido ◽  
Aitor J. Garrido ◽  
Manuel De La Sen
Keyword(s):  
Water Column ◽  
Search Algorithm ◽  
Harmony Search ◽  
Harmony Search Algorithm ◽  
The Self ◽  
Oscillating Water Column ◽  
Wells Turbine ◽  
Control Scheme ◽  
Tuning Methods ◽  
Self Adaptive

The Harmony Search algorithm has attracted a lot of interest in the past years because of its simplicity and efficiency. This led many scientists to develop various variants for many applications. In this paper, four variants of the Harmony search algorithm were implemented and tested to optimize the control design of the Proportional-Integral-derivative (PID) controller in a proposed airflow control scheme. The airflow control strategy has been proposed to deal with the undesired stalling phenomenon of the Wells turbine in an Oscillating Water Column (OWC). To showcase the effectiveness of the Self-Adaptive Global Harmony Search (SGHS) algorithm over traditional tuning methods, a comparative study has been carried out between the optimized PID, the traditionally tuned PID and the uncontrolled OWC system. The results of optimization showed that the Self-Adaptive Global Harmony Search (SGHS) algorithm adapted the best to the problem of the airflow control within the wave energy converter. Moreover, the OWC performance is superior when using the SGHS-tuned PID.

Time-Pressure Switch Control for Fluid Dispensing Process Based on Self-Adaptive Model

2013 ◽  
Vol 397-400 ◽  
pp. 91-96
Author(s):  
Cong Ping Chen ◽  
Tao Zhang ◽  
Shi Jie Guo
Keyword(s):  
Time Pressure ◽  
Control Method ◽  
Residual Pressure ◽  
Adaptive Model ◽  
Chamber Volume ◽  
Switch Control ◽  
Air Chamber ◽  
High Degree ◽  
Pressure Switch ◽  
Self Adaptive

Because of changes of the epoxy amount in syringe and air compressibility, the time-pressure dispensing has proven to be a challenging task in achieving a high degree of consistency in the dispensed liquid dots volume. Taking residual pressure and non-Newtonian fluid into consideration, a self-adaptive model of the dispensed liquid dots volume was developed for the whole dispensing process. Based on the liquid dots volume model, combined with the syringe air chamber volume prediction model, a time-pressure switch control method was put forward following the principle of time preference control. Numerical simulation has been conducted in the MATLAB using the conventional PI algorithm. Results show that the self-adaptive model can be very well response to the influences of air chamber volume changes to the dispensed liquid dots volume and the proposed control method can significantly improve the dots volume consistency.

An Intelligent Supervisor for Adaptive Mode-Switch Control

1993 ◽  
Vol 26 (2) ◽  
pp. 839-842
Author(s):  
J. van Amerongen ◽  
R.A. Hilhorst ◽  
P. Löhnberg ◽  
H.J.A.F. Tulleken
Keyword(s):  
Mode Switch ◽  
Switch Control

System Dynamics Analysis and Mode-Switch Control for a 3-Mode Range-Extender Electric Vehicle

2013 ◽  
Vol 459 ◽  
pp. 361-367 ◽  
Author(s):  
Yi Hsuan Hung ◽  
Chien Hsun Wu ◽  
Chun Ying Lin ◽  
Yu Ming Tung
Keyword(s):  
System Dynamics ◽  
Electric Vehicle ◽  
System Modeling ◽  
Control Unit ◽  
Spark Ignition Engine ◽  
Mode Switch ◽  
Rule Based ◽  
Control Rules ◽  
Range Extender ◽  
Switch Control

This paper studies the system modeling and mode-switch control for a novel 3-mode (serial/parallel/pure electric) range-extender electric vehicle (REEV). The REEV is modeled with low-order dynamics of 8 subsystems: the driving pattern, drivers behavior, lithium batteries, a spark-ignition engine, a traction motor, a generator, a 6-speed transmission, and a longitudinal vehicle dynamics. Dynamics of the REEV is the integration of above subsystems. To properly evaluate the system performance of the REEV, a rule-based mode-switch control rule is designed with 7 operation modes (System Ready, EV, Serial, Coast Down, Coast-Down Regen., Idle Regen., Parallel). By applying the control rules for the 3-mode REEV, the vehicle can properly operate. Simulation is conducted on the Matlab/Simulink platform. The results show that this study details the system dynamics of subsystems and the vehicle. Meanwhile the rule-based control strategy governs the subsystems well. The developed simulator can be utilized for specification designs of real vehicles and for vehicle control unit designs in the near future.

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