Closed Loop Control Algorithm of Fuel Cell Output Power for a City Bus

2013 ◽  
Vol 2 (1) ◽  
pp. 74-81 ◽  
Author(s):  
Liangfei Xu ◽  
Minggao Ouyang ◽  
Jianqiu Li ◽  
Haiyan Huang ◽  
Fuyuan Yang ◽  
...  
Keyword(s):  
Fuel Cell ◽  
Output Power ◽  
Control Algorithm ◽  
Closed Loop ◽  
Closed Loop Control ◽  
Loop Control ◽  
City Bus

Modeling and Closed-Loop Control of Stretch Bending of Aluminum Rectangular Tubes

2003 ◽  
Vol 125 (1) ◽  
pp. 113-119 ◽  
Author(s):  
Hong Zhu ◽  
Kim A. Stelson
Keyword(s):  
Experimental Data ◽  
Real Time ◽  
Control Algorithm ◽  
Closed Loop ◽  
Strain History ◽  
Closed Loop Control ◽  
Loop Control ◽  
Stretch Bending ◽  
Rectangular Tube ◽  
Rectangular Tubes

During stretch bending, considerable springback will occur after a tube has been plastically bent. To predict the springback, a simplified two-flange model for stretch bending of a rectangular tube has been developed in which the strain history has been considered. A comparison has been made between the springback predicted by this model and experimental data, which shows rough agreement. Based on this model, a real time closed-loop control algorithm is developed.

Active Vibration Control of Active Fuel Management Engines Using Active Engine Mounts

2007 ◽  
Author(s):  
Kwang-Keun Shin
Keyword(s):  
Fuel Economy ◽  
Control Algorithm ◽  
Closed Loop ◽  
Open Loop ◽  
Closed Loop Control ◽  
Fuel Management ◽  
Loop Control ◽  
Improve Fuel Economy ◽  
Engine Mount ◽  
Active Engine

Given the realities of today’s world, the goal of achieving vehicular fuel economy is of paramount importance. One cost effective solution to improve fuel economy without major modification of engines is using Active Fuel Management (AFM), which refers to on-demand cylinder activation and deactivation. One general characteristic of AFM engines is higher level of ignition force resulting in higher torque variation. Consequently the noise and vibration (N&V) performance of a vehicle with an AFM engine can reach an unacceptable level with aggressive cylinder deactivation. One solution to improve fuel economy without degrading N&V performance is the use of Active Engine Mount (AEM). This paper studies the control methods for active engine mount. Both open-loop and closed-loop control are developed based upon single-tone adaptive feed-forward control framework. The details of the algorithm are discussed and the stability and the robustness are examined. Integrated open-loop and closed-loop control is proposed to ensure fast response, enhance performance and robustness. A series of simulations are performed to demonstrate the control algorithm. It is shown that the integrated open-loop and closed-loop control algorithm yields the most promising results.

scholarly journals Speed Control of IDDB and SVPWM Controlled PMSM Motor in Fuel Cell Based Electrical Vehicle

2019 ◽  
Vol 8 (6) ◽  
pp. 1245-1251
Keyword(s):  
Fuel Cell ◽  
Electric Vehicles ◽  
Closed Loop ◽  
Boost Converter ◽  
Closed Loop Control ◽  
Loop Control ◽  
Simulation Techniques ◽  
Fuel Cell Electric Vehicles ◽  
Electrical Vehicle ◽  
Lc Filter

The prominence of Fuel Cell Electric Vehicles (FCEV) has been soaring in technologies being implemented in electric automobiles due to their main advantages of eco-friendly nature, bountiful efficiency and extreme reliability .In this paper we deal with the simulation of electric vehicles that are fuel cell based. The voltage at the output stack of fuel cell is considerably low, hence it is increased by rendering IDDB converter with closed loop control. This type of boost converter with closed loop control is also utilized to priorate the converter output voltage consistent regardless of the pressure levels in the fuel cell. The output of the boost converter is coupled to the inverter for developing AC to run PMSM. Gating signals are produced to the inverter by the use of Space Vector PWM technique and the inverter output is supplied to the PMSM drive by means of an LC filter in order to diminish the ripples in the inverter output . In this work, in order to achieve better performance above induction motors such as higher speed, torque efficiency PMSM drive has been proposed . The results are verified by simulation techniques using MATLAB/Simulink.

scholarly journals Closed-Loop Artificial Pancreas Using Subcutaneous Glucose Sensing and Insulin Delivery and a Model Predictive Control Algorithm: Preliminary Studies in Padova and Montpellier

2009 ◽  
Vol 3 (5) ◽  
pp. 1014-1021 ◽  
Author(s):  
Daniela Bruttomesso ◽  
Anne Farret ◽  
Silvana Costa ◽  
Maria Cristina Marescotti ◽  
Monica Vettore ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glucose Control ◽  
Control Algorithm ◽  
Closed Loop ◽  
Insulin Delivery ◽  
Glucose Sensing ◽  
Open Loop ◽  
Closed Loop Control ◽  
Loop Control

New effort has been made to develop closed-loop glucose control, using subcutaneous (SC) glucose sensing and continuous subcutaneous insulin infusion (CSII) from a pump, and a control algorithm. An approach based on a model predictive control (MPC) algorithm has been utilized during closed-loop control in type 1 diabetes patients. Here we describe the preliminary clinical experience with this approach. In Padova, two out of three subjects showed better performance with the closed-loop system compared to open loop. Altogether, mean overnight plasma glucose (PG) levels were 134 versus 111 mg/dl during open loop versus closed loop, respectively. The percentage of time spent at PG > 140 mg/dl was 45% versus 12%, while postbreakfast mean PG was 165 versus 156 mg/dl during open loop versus closed loop, respectively. Also, in Montpellier, two patients out of three showed a better glucose control during closed-loop trials. Avoidance of nocturnal hypoglycemic excursions was a clear benefit during algorithm-guided insulin delivery in all cases. This preliminary set of studies demonstrates that closed-loop control based entirely on SC glucose sensing and insulin delivery is feasible and can be applied to improve glucose control in patients with type 1 diabetes, although the algorithm needs to be further improved to achieve better glycemic control. Six type 1 diabetes patients (three in each of two clinical investigation centers in Padova and Montpellier), using CSII, aged 36 ± 8 and 48 ± 6 years, duration of diabetes 12 ± 8 and 29 ± 4 years, hemoglobin A1c 7.4% ± 0.1% and 7.3% ± 0.3%, body mass index 23.2 ± 0.3 and 28.4 ± 2.2 kg/m2, respectively, were studied on two occasions during 22 h overnight hospital admissions 2–4 weeks apart. A Freestyle Navigator® continuous glucose monitor and an OmniPod® insulin pump were applied in each trial. Admission 1 used open-loop control, while admission 2 employed closed-loop control using our MPC algorithm.

scholarly journals Design of an Adaptive Boost Energy-Saving Fuzzy Control System Driven by the Finite State Machine

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Wen Ren ◽  
Xia Wen ◽  
Sencai Lai
Keyword(s):  
Power Supply ◽  
Energy Recovery ◽  
Control Algorithm ◽  
Finite State Machine ◽  
Closed Loop ◽  
State Machine ◽  
Closed Loop Control ◽  
Loop Control ◽  
Finite State ◽  
Drive Circuit

Aiming at the challenging problem of the traditional warp knitting machine electronic jacquard control system with complex structure of multiple circuit boards layered cascade, such as large physical space occupation, high power consumption, and independent high-voltage power supply voltage, we proposed an embedded circuit and control strategy design for the piezoelectric jacquard needle (PJN) with adaptive boost and energy recovery functions. Firstly, the electromechanical dynamics model of PJN was established. Secondly, the fuzzy PI double closed-loop control algorithm driven by a finite state machine is proposed. Thirdly, with the help of a Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET), the PJN is integrated with the drive circuit. The drive circuit of PJN uses an energy storage inductor to replace the current limiting resistor of the traditional drive circuit, which can not only limit the forward charging current of the PJN and reduce energy loss but also can use the energy absorbed from the low-voltage power supply to adaptively boost the power supply of the PJN to the high voltage required for working conditions. The simulation results show that the new PJN drive circuit has an adaptive self-boost function. The PWM signal modulated by the fuzzy PI double closed-loop control algorithm can efficiently and accurately control the adaptive boost power supply and the voltage across the PJN. The mode of the circuit can be correctly switched through the sequential logic of the finite state machine and realize the energy recovery function.

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