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.

scholarly journals Overlapping Decentralized Control Strategies of Building Structures’ Vibration with Time Delay Based on H∞ Control Algorithms under Seismic Excitation

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Xiaofang Kang ◽  
Jian Wu ◽  
Yewei Zhang ◽  
Guoliang Liu ◽  
Suhui Zhang ◽  
...  
Keyword(s):  
Control System ◽  
Time Delay ◽  
Vibration Control ◽  
Decentralized Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Control Strategies ◽  
Linear Matrix ◽  
Feedback Gain

A decentralized control strategy can effectively solve the control problem of the large-scale time delayed structures. In this paper, combining the overlapping decentralized control method, linear matrix inequality (LMI) method, and H∞ control algorithm, overlapping decentralized H∞ control approach of the time delayed structures has been established. The feedback gain matrixes of all subsystems are obtained by this method based on genetic algorithm optimization tools and the specific goal of optimization control. The whole vibration control system of the time delayed structures is divided into a series of overlapping subsystems by overlapping decentralized control strategy. The feedback gain matrixes of each subsystem can be obtained by using H∞ control algorithm to calculate each subsystem. The vibration control of a twenty layers’ antiseismic steel structure Benchmark model was analyzed with the numerical method. The results show that the proposed method can be applied to control system with time delay. The overlapping decentralized control strategies acquire the similar control effects with that of the centralized control strategy. Moreover, the flexibility of the controller design has been enhanced by using overlapping decentralized control strategies.

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.

Discussion on the Garbage Disposal Control System Based on DCS

2012 ◽  
Vol 229-231 ◽  
pp. 2188-2191
Author(s):  
Mei Xu
Keyword(s):  
Complex System ◽  
Control System ◽  
Control Problem ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Strategies ◽  
Effective Control ◽  
Control Methods ◽  
Paper Briefly ◽  
Garbage Disposal

The garbage disposal system is not a very large system,but it is a complex system..You need to take different control strategies according to different control objects, belonging to the control problem of the complexity of the uncertainty of the object (or process). Conventional control methods (such as PID, etc.) is difficult to implement effective control of such object.It is necessary to explore more effective control strategy. The paper briefly discusses the problem of intelligent control of the garbage disposal systems based on DCS.

PLC-Based Embedded Intelligent Control Research

2015 ◽  
Vol 799-800 ◽  
pp. 1127-1131
Author(s):  
Wen Chong Cui ◽  
Yu Lin Dong
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Control Strategies ◽  
Rapid Development ◽  
Control Effect ◽  
Industrial Control ◽  
Expert Control ◽  
Control Research ◽  
Traditional Process

With the rapid development of industrialization, the intelligent control has increasingly replaced the traditional process control in PLC in recent years, in which some intelligent control strategy has been applied to industrial control cases, such as genetic algorithm, fuzzy control, expert control and neural network and so on. However, it is not sufficient to achieve the desired control effect if only an intelligent control method is applied in the intelligent control. Therefore, integrated intelligent control of various control strategies is bound to be a focus in the embedded intelligent control. At the same time, with growing power of the PLC processing, it is possible for complex algorithms to be used in the embedded application, which has great significance in the development of industrialization as well as intelligent control.

Acceleration-Driven-Damper (ADD): An Optimal Control Algorithm For Comfort-Oriented Semiactive Suspensions

2004 ◽  
Vol 127 (2) ◽  
pp. 218-229 ◽  
Author(s):  
Sergio M. Savaresi ◽  
Enrico Silani ◽  
Sergio Bittanti
Keyword(s):  
Optimal Control ◽  
Numerical Analysis ◽  
Control Strategy ◽  
Control Algorithm ◽  
Closed Loop ◽  
Control Strategies ◽  
Control Algorithms ◽  
Road Vehicles ◽  
Control Framework ◽  
Analysis Of Performance

The problem considered in this paper is the design and analysis of control strategies for semiactive suspensions in road vehicles. The most commonly used control framework is the well-known Sky–Hook (SH) damping. Two-state or linear approximation of the SH concept are typically implemented. The goal of this paper is to analyze the optimality of SH-based control algorithms, and to propose an innovative control strategy, named Acceleration-Driven-Damper (ADD) control. It is shown that ADD is optimal in the sense that it minimizes the vertical body acceleration (comfort objective) when no road-preview is available. This control strategy is extremely simple; it requires the same sensors of the SH algorithms, and a simple two-state controllable damper. In order to assess and to compare the closed-loop performance of the SH and ADD control strategies, both a theoretical and a numerical analysis of performance are proposed.

scholarly journals Three-level algorithm to control COVID-19 spreading

2021 ◽  
Author(s):  
Giovanni M. Dieguez ◽  
Cristiane M. Batistela ◽  
José Roberto C. Piqueira
Keyword(s):  
Control Strategy ◽  
Control Algorithm ◽  
Compartmental Model ◽  
Control Strategies ◽  
Epidemiological Data ◽  
Physical Contact ◽  
Level Control ◽  
Model Dynamics ◽  
Efficient Control ◽  
Frame Work

Abstract As the main ways of the coronavirus (COVID-19) spreading are air and physical contact, actions to mitigate and suppress its spreading must be developed in order to change population behavior, providing efficient control strategies. Here, these actions are described as a simple heuristic frame work to establish public policies. The possible effects of these actions are modeled as a stratified control algorithm applied to an extension of the Susceptible-Infected-Removed (SIR) compartmental model. The model dynamics is analyzed and validated with simulations considering parameters obtained from epidemiological data from Brazil and Uruguay. Model simulations allow the proposition of a three-level control strategy that, as the numerical experiment sshow, presents promising results for the development of strategies to reduce the spread of COVID-19.

scholarly journals Effect of Utility Voltage Distortion on the Performance of Different Control Strategies for Shunt Active Power Filter

2017 ◽  
Vol 2 (8) ◽  
pp. 27
Author(s):  
Ahmed Mohammed Attiya Soliman ◽  
Salah Kamal El-Sayed ◽  
M. A. Mehanna
Keyword(s):  
Power Quality ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Strategies ◽  
Active Power Filter ◽  
Active Power ◽  
Current Control ◽  
Shunt Active Power Filter ◽  
Power Filter ◽  
Non Linear

The widespread use of power electronics in industrial, commercial and even residential electrical equipment like non-linear loads causes deterioration of the quality of the electric power supply with distortion of the supply voltage and in order to mitigate this quality the shunt active power filter (SAPF) is the suitable and effective solution for harmonic elimination and reactive power compensation and lead to power quality (PQ) improvement, therefor an effective and accurate current control technique is needed in order for a SAPF where control algorithm is the heart for SAPF to perform this function and its dynamic performance is mainly depends on these control strategy. This paper proposes three different current control strategies (CCS) based on instantaneous power theory and generalized fryze theory which used for the generation or extraction of the accurate reference current signals which comparing with the actual signals through hysteresis current technique (HCT) to produce suitable gating signals for SAPF and discusses the performance for these controllers when the supply bus voltage is distorted with scope on the efficient control algorithm. Matlab / Simulink simulation results are presented to validate the control strategy and demonstrate the effectiveness of SAPF to provide mitigation of power quality problems for non-linear load to reach an acceptable value comply with recommended standards.

Braking angle control of loom spindle based on neuron-adaptive PID algorithm

2021 ◽  
pp. 1-9
Author(s):  
Yanjun Xiao ◽  
Zeyu Li ◽  
Zhe Mao ◽  
Wei Zhou
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Pressure Control ◽  
Pid Algorithm ◽  
Braking System ◽  
Control Precision ◽  
Allowable Error ◽  
Electromagnetic Clutch

The intelligent control strategy of electromagnetic clutch actuator is analyzed in detail in this paper. The start - stop control of the loom is realized by an electromagnetic clutch. The existing control method of electromagnetic clutch of loom is high and low pressure control strategy. The operator sets the braking advance angle according to experience, to realize the accurate braking of the spindle, but it is difficult to realize the fast and accurate control. In order to achieve good performance, it is very important to develop a fast and accurate loom braking system. Aiming at the fabric defects caused by the elongation of the warp when the loom is stopped, a method of stabilizing the excitation current of the electromagnetic clutch by using the neural adaptive PID (proportional integral differential) controller is proposed to improve the control precision of the actuator. The experimental results show that the proposed control algorithm is feasible and can effectively realize the adaptive control of the spindle braking Angle within the allowable error range.

Relative position fitting based control strategy for thruster point assembly mechanism of electric propulsion

2016 ◽  
Vol 9 (1) ◽  
pp. 69-82 ◽  
Author(s):  
Xiaohui Li ◽  
Jie Geng ◽  
Qiang Zhang ◽  
Jing Sun
Keyword(s):  
Control Strategy ◽  
Relative Position ◽  
Electric Propulsion ◽  
Simple Structure ◽  
Control Strategies ◽  
Content Type ◽  
Assembly Mechanism ◽  
Thrust Vector ◽  
The Mathematical Model ◽  
Control Accuracy

Purpose – Thruster point assembly mechanism (TPAM) of the electric propulsion system allows to adjust the thrust vector, so that the thrust vector is directed to the satellite center of gravity (COG) during the satellite on-orbit working period. In this way the impact of disturbance torque caused by deviation of the thrust vector from the satellite COG during thruster ignition can be decreased. Therefore, the control accuracy of satellite is influenced directly by the control accuracy of TPAM. On the other hand, the on-orbit application of TPAM is restricted to the on-orbit computer resource. Therefore, the purpose of this paper is to design a control strategy for TPAM, and the strategy should not only be able to control the TPAM precisely but also be easily implemented by the on-board computer. Design/methodology/approach – First, the structure and work principle of TPAM are discussed, and the mathematical model based on D-H coordinate system is built for it. Then the fitting methods are utilized to design the control strategy of TPAM. Absolute position fitting-based control strategy and relative position fitting-based control strategy are designed, and the least squares algorithm is introduced for parameter selection. Findings – Simulations and tests are provided for the TPAM. Compared with the state-of-the-art PD controller, the proposed control strategy shows smaller overshoot and more simple realization. The experiment results are matched with the simulation results and both the experiment and simulation results show the validity of the proposed control strategies. Practical implications – The designed control strategies can be used for the TPAM of some satellite’s electric propulsion system. Originality/value – The mathematical model of the TPAM based on D-H coordinate system is given. The absolute position fitting-based control strategy and relative position fitting-based control strategy are proposed. Compared with existing methods, the two control strategies have more simple structure and smaller amount of computations. Furthermore, the relative position fitting-based control strategy achieves high precision with simple structure.

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