A closed loop control algorithm for obstacle avoidance based on the transformation of master and slave tasks

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.

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

Volume 16: Transportation Systems ◽

10.1115/imece2007-41389 ◽

2007 ◽

Cited By ~ 2

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.

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Discrete Proportional Plus Integral Control Algorithm for HEGO-Based Closed Loop Control

10.4271/970616 ◽

1997 ◽

Author(s):

M. A. Shariati ◽

J. Iqbal ◽

H. Servati

Keyword(s):

Control Algorithm ◽

Closed Loop ◽

Closed Loop Control ◽

Integral Control ◽

Loop Control

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

Journal of Diabetes Science and Technology ◽

10.1177/193229680900300504 ◽

2009 ◽

Vol 3 (5) ◽

pp. 1014-1021 ◽

Cited By ~ 102

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.

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A Lagrangian-based nonlinear closed-loop control algorithm: Application to the advanced liquid metal reactor

Annals of Nuclear Energy ◽

10.1016/0306-4549(93)90093-5 ◽

1993 ◽

Vol 20 (11) ◽

pp. 721-732

Author(s):

M.A. Abdalla ◽

R.B. Perez

Keyword(s):

Liquid Metal ◽

Control Algorithm ◽

Closed Loop ◽

Closed Loop Control ◽

Loop Control ◽

Liquid Metal Reactor

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

Mathematical Problems in Engineering ◽

10.1155/2021/9924836 ◽

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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