Control of membrane wrinkling via intelligent control strategies

2002 ◽  
Author(s):  
V.D. Kalanovic ◽  
C.H. Jenkins ◽  
F. Haugen
Keyword(s):  
Intelligent Control ◽  
Control Strategies ◽  
Membrane Wrinkling

A Review of Control Strategies for Permanent Magnet Synchronous Motor Used in Electric Vehicles

2013 ◽  
Vol 321-324 ◽  
pp. 1679-1685
Author(s):  
Jun Li ◽  
Jia Jun Yu ◽  
Zhenxing Chen
Keyword(s):  
Permanent Magnet ◽  
Intelligent Control ◽  
Control Strategies ◽  
External Disturbance ◽  
Permanent Magnet Synchronous Motor ◽  
Control Variable ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Theoretical Background ◽  
Torque Control

This paper mainly reviews the development of permanent magnet synchronous motor drive system. It presents several approaches of PMSM control strategies, including control strategies based on classical control, modern control and intelligent control. Theoretical background briefly describes the properties of these control techniques. Among these control strategies, vector control and direct torque control are considered as the mature methods for PMSM motors control currently. Advanced control strategies, with adaptive control, variable structure control and intelligent control included, improve the performance of PMSM in some respects, such as variations of plant parameters sensitivity, external disturbance and so on. It shows that the researches in this area are still a popular research topic. Finally, this paper prospected the foreground of the control strategies for PMSM.

Recent Technological Advances in the Control and Guidance of Ships

1994 ◽  
Vol 47 (2) ◽  
pp. 236-258 ◽  
Author(s):  
N. A. J. Witt ◽  
R. Sutton ◽  
K. M. Miller
Keyword(s):  
Control Systems ◽  
Intelligent Control ◽  
Adaptive Systems ◽  
Control Method ◽  
Control Strategies ◽  
The Past ◽  
Technological Advances ◽  
Ship Control ◽  
Made In ◽  
Modern Control

Over the past seventy years many advances have been made in the field of ship control. Early developments by Sperry and Minorsky on proportional controllers have led to today's modern control systems which have interfacing capabilities with position fixing equipment.This paper presents a brief historical summary of the methods employed in ship control from early proportional devices through the range of adaptive systems and concludes with details of a possible future control method known as intelligent control.Intelligent control consists of three methodologies: expert, fuzzy and neural. An investigation and comparison of the methodologies will present possible future control strategies.

Intelligent Control Strategy for Complex Industrial Process with Uncertainty

2014 ◽  
Vol 933 ◽  
pp. 343-347
Author(s):  
Guo Qing Zhou ◽  
Lei Li
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Strategies ◽  
Industrial Process ◽  
Complex Process ◽  
Industrial Object ◽  
Optimization Control ◽  
Decomposition And Coordination ◽  
Control Accuracy

In order to solve control puzzle of complicated characteristics for complex industrial object, the paper proposed an intelligent control strategy. First it made the anatomy and pointed out that the conventional control strategy is unsuitable to control the complex process. Based on comparison among control strategies, first it made decomposition and coordination for complex process, and then selected intelligence based control strategies, finally adopted human simulation intelligence based control algorithm to implement the optimization control of complex process with uncertainty. The simulation effect demonstrated that it is faster in response, high in control accuracy, and strong in robustness. The simulation shows that it is a wise choice to apply the intelligent control strategy for complex industrial process with uncertainty.

Intelligent Control Circuit Integral with Pattern Recognition Techniques for High-Pressure Sodium Lamps

2017 ◽  
Vol 26 (07) ◽  
pp. 1750108
Author(s):  
Yuzhuo Pan ◽  
Chen Lv ◽  
Shanhe Su ◽  
Jincan Chen
Keyword(s):  
Pattern Recognition ◽  
High Pressure ◽  
Intelligent Control ◽  
High Frequency ◽  
Pulse Width Modulation ◽  
Smart Cities ◽  
Control Strategies ◽  
Low Frequency ◽  
Acoustic Resonance ◽  
Working Device

The paper presents the analysis, simulation, and experimental methods to eliminate acoustic resonance in high-frequency high-pressure sodium (HPS) lamps and integrate intelligent control strategies in the working device. Based on the pulse-width modulation (PWM) output generated by the microcontroller, the acoustic resonance in the high-frequency lamp can be successfully eliminated by modulating the high-frequency driving current via a low-frequency signal. Particularly, by implementing the pattern recognition, the control system enables the lamp to have the abilities of accurate timing, gradient dimming, automatic protection, and intellisense. The proposed model will provide useful information for designing intelligent lighting system towards smart cities.

Analysis of Assistive Strategies for Electric Bikes That Include Rider’s Physiological Characteristics

2018 ◽  
Author(s):  
Andrea Zignoli ◽  
Lorenzo Beatrici ◽  
Francesco Biral
Keyword(s):  
Physical Activity ◽  
Intelligent Control ◽  
Control Strategy ◽  
Electric Motor ◽  
Control Strategies ◽  
Daily Basis ◽  
Physiological Characteristics ◽  
Control Algorithms ◽  
Electric Motors ◽  
Sedentary Population

Control strategies of electric-bikes (e-bikes) do not take the physiological characteristics (e.g. aerobic fitness status) of the rider into account. By means of mathematical modelling, our aim was to analyse different assistive strategies that include these characteristics. Particularly, we applied an Optimal Control (OC) algorithm to test whether an attentive control strategy could guarantee a sustainable effort for the rider throughout an entire climbing course with varying slope. We found that the contribution of the electric motor was pivotal during accelerations, so the effort for the kinetic energy conversion was shared between the electric motor and the cyclist. OC seems to fit very well in a scenario where e-bikes are adopted on a daily basis for commuting or to increase the level of physical activity in a sedentary population. We suggest that intelligent control algorithms, like OC, could be embedded in the electric motors to improve e-bike experience, especially in sedentary adults.

scholarly journals Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1266 ◽  
Author(s):  
Tanvir Ahmad ◽  
Abdul Basit ◽  
Muneeb Ahsan ◽  
Olivier Coupiac ◽  
Nicolas Girard ◽  
...  
Keyword(s):  
Power Generation ◽  
Field Experiment ◽  
Intelligent Control ◽  
Wind Farm ◽  
Control Strategies ◽  
Wind Farms ◽  
Coordinated Control ◽  
Net Production ◽  
Wake Effects ◽  
The Impact

This paper presents, with a live field experiment, the potential of increasing wind farm power generation by optimally yawing upstream wind turbine for reducing wake effects as a part of the SmartEOLE project. Two 2MW turbines from the Le Sole de Moulin Vieux (SMV) wind farm are used for this purpose. The upstream turbine (SMV6) is operated with a yaw offset ( α ) in a range of − 12 ° to 8° for analysing the impact on the downstream turbine (SMV5). Simulations are performed with intelligent control strategies for estimating optimum α settings. Simulations show that optimal α can increase net production of the two turbines by more than 5%. The impact of α on SMV6 is quantified using the data obtained during the experiment. A comparison of the data obtained during the experiment is carried out with data obtained during normal operations in similar wind conditions. This comparison show that an optimum or near-optimum α increases net production by more than 5% in wake affected wind conditions, which is in confirmation with the simulated results.

Performance Comparison of Nonlinear and Intelligent Control Strategies on the Ball and Beam Dynamic System

1999 ◽  
Author(s):  
John R. Wagner ◽  
Michael E. Momot
Keyword(s):  
Dynamic System ◽  
Intelligent Control ◽  
Error Control ◽  
Fuzzy Logic Controller ◽  
Control Strategies ◽  
Order Approximation ◽  
Variable Structure ◽  
Performance Comparison ◽  
Convergence Time ◽  
Beam Dynamic

Abstract A variety of nonlinear and intelligent control strategies have been proposed to control nonlinear processes. To assist the controls practitioner in evaluating the potential performance of different control methodologies, four nonlinear and intelligent control strategies are examined and compared on the classic ball and beam dynamic system. The nonlinear control designs include three approximate input-output linearizations, a kth-order approximation of the plant zero-error manifold, and a variable structure system controller. A fuzzy logic controller, with an expandable set of control rules, is designed as an alternative to these model-based schemes. Simulation results are presented to demonstrate the ability of each controller in tracking a prescribed trajectory. The performance of each control strategy is discussed in terms of convergence time, steady-state error, control authority, and ease of implementation.

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