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.

scholarly journals A reward–punishment feedback control strategy based on energy information for wrist rehabilitation

2020 ◽  
Vol 17 (5) ◽  
pp. 172988142094065
Author(s):  
Jiajin Wang ◽  
Jiaji Zhang ◽  
Guokun Zuo ◽  
Changcheng Shi ◽  
Shuai Guo
Keyword(s):  
Feedback Control ◽  
Control Strategy ◽  
Control Strategies ◽  
Adaptive Controller ◽  
Feedback Mechanism ◽  
Coefficient Of Determination ◽  
Effective Control ◽  
Rehabilitation Robot ◽  
Feedback Control Strategy ◽  
Energy Information

Based on evidence from the previous research in rehabilitation robot control strategies, we found that the common feature of the effective control strategies to promote subjects’ engagement is creating a reward–punishment feedback mechanism. This article proposes a reward–punishment feedback control strategy based on energy information. Firstly, an engagement estimated approach based on energy information is developed to evaluate subjects’ performance. Secondly, the estimated result forms a reward–punishment term, which is introduced into a standard model-based adaptive controller. This modified adaptive controller is capable of giving the reward–punishment feedback to subjects according to their engagement. Finally, several experiments are implemented using a wrist rehabilitation robot to evaluate the proposed control strategy with 10 healthy subjects who have not cardiovascular and cerebrovascular diseases. The results of these experiments show that the mean coefficient of determination ( R 2) of the data obtained by the proposed approach and the classical approach is 0.7988, which illustrate the reliability of the engagement estimated approach based on energy information. And the results also demonstrate that the proposed controller has great potential to promote patients’ engagement for wrist rehabilitation.

scholarly journals Performance Assessment of Cascade Control System with Non-Gaussian Disturbance Based on Minimum Entropy

Symmetry ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 379 ◽  
Author(s):  
Qian Zhang ◽  
Ya-Gang Wang ◽  
Fei-Fei Lee ◽  
Wei Zhang ◽  
Qiu Chen
Keyword(s):  
Control System ◽  
Performance Assessment ◽  
Chemical Engineering ◽  
Control Strategies ◽  
Thermal Power ◽  
Cascade Control ◽  
Effective Control ◽  
Minimum Entropy ◽  
Non Gaussian ◽  
Cascade Control System

Due to the fact that cascade control can improve the single-loop’s performance well and reduce the integral error from disturbance response, it has been one of the most important control strategies in industrial production, especially in thermal power plant and chemical engineering. However, most of the existing research is based on the Gaussian system and other few studies on the non-Gaussian cascade disturbance system also have obvious defects. In this paper, an effective control loop performance assessment (CPA) of cascade control system for many non-Gaussian distributions even the unknown mixture disturbance noise has been proposed. Compared to the minimum variance control (MVC) approach, the minimum entropy control (MEC) method can obtain a more accurate estimate. In this method, like MVC, the primary loop output and secondary loop output can be represented as invariant and dependent terms, then adopted estimated distribution algorithm (EDA) is used to achieve the system model and disturbances. In order to show the effectiveness of MEC, some simulation examples based on different perturbations are given.

Intelligent Operation Control for the Fused Magnesia Production

2011 ◽  
Vol 391-392 ◽  
pp. 1450-1454
Author(s):  
Yong Jian Wu ◽  
Ping Zhou ◽  
Pin Shang ◽  
Tian You Chai
Keyword(s):  
Control System ◽  
Intelligent Control ◽  
Control Strategy ◽  
Control Method ◽  
Level Control ◽  
Loop Control ◽  
Intelligent Control System ◽  
Technical Requirements ◽  
Operation Control ◽  
Lower Loop

An electro-fused magnesia furnace (EFMF) is used to produce electro-fused magnesia. Due to the complex dynamic characteristics of the EFMF production process, it is difficult to achieve the satisfactory control performances only by the independent conventional control method. As a result, the lower loop control with manual operations is still widely used in practice. However, the manual operation cannot ensure that the actual production qualities and the energy consumption of unit production meet the technical requirements all the time. In this paper, an intelligent operation control strategy is developed for the EFMF to automatically adjust the setpoints of the lower level control system. Based on the proposed intelligent control strategy, an intelligent control system for the EFMF is built and implemented on site. Industrial application has demonstrated that the intelligent control system can achieve reliable, accurate and timely control performances.

scholarly journals A Simplified Minimum DC-Link Voltage Control Strategy for Shunt Active Power Filters

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2407 ◽  
Author(s):  
Yu Wang ◽  
Yuewu Wang ◽  
Si-Zhe Chen ◽  
Guidong Zhang ◽  
Yun Zhang
Keyword(s):  
Power Systems ◽  
Control Strategy ◽  
Rational Design ◽  
Control Strategies ◽  
Voltage Control ◽  
Active Power ◽  
Effective Control ◽  
Voltage Control Strategy ◽  
Grid Voltage ◽  
Modulation Ratio

The active power filter (APF) is a popular electrical device to eliminate harmonics in power systems. The rational design and effective control of DC-link capacitor voltage are important for implementing APF functions. In this study, the influences from the DC-link voltage on the APF compensating current characteristic and compensation performance are analyzed, and the reason to maintain DC-link voltage at a minimum value is investigated. On this basis, a simplified minimum DC-link voltage control strategy for APF is proposed. Compared with the existing DC-link voltage control strategies, the minimum DC-link voltage value in proposed strategy is only determined by the grid voltage and modulation ratio, reducing the calculation burden and the implementation difficulty in application, avoiding the interference from external parameters on the compensation effect. Additionally, the reference DC-link voltage varies at different values according to the grid voltage and modulation ratio. A shunt APF prototype is established and the experimental results verify the correctness and effectiveness of the analysis and proposed strategy.

A Sort of Fuzzy Intelligence Control Strategy for Complex System

2011 ◽  
Vol 187 ◽  
pp. 169-174 ◽  
Author(s):  
Yu Cheng Liu ◽  
Yu Bin Liu
Keyword(s):  
Complex System ◽  
Control Strategy ◽  
Effective Control ◽  
Control Effect ◽  
Expert Control ◽  
Control Precision ◽  
Optimal Pid Control ◽  
Intelligence Control ◽  
Fuzzy Control Algorithm ◽  
Better Than

For complex controlled object with the large time delay link, it was difficult to get effective control effect by means of traditional fuzzy control algorithm. Aimed at enhancing the control quality in control precision and so on for complex system, the paper proposed a sort of fuzzy intelligence control strategy. It fused the expert control experience combing with human simulated intelligence control, designed the control rule, proposed the mode of running controller and explored the principle of parameter calibrating layer. The system simulation experiment explained that the control effect was much better than optimal PID control in dynamic and steady quality. The results show that the fuzzy intelligent control strategy is reasonable and feasible, high in control precision, better in dynamical and steady control effect, and it represents very strong robustness.

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 Estimating the Optimal Control of Zoonotic Visceral Leishmaniasis by the Use of a Mathematical Model

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Laila Massad Ribas ◽  
Vera Lucia Zaher ◽  
Helio Junji Shimozako ◽  
Eduardo Massad
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
Visceral Leishmaniasis ◽  
Vector Control ◽  
Control Strategy ◽  
Control Strategies ◽  
Effective Control ◽  
Alternative Control ◽  
Alternative Strategies ◽  
Zoonotic Visceral Leishmaniasis

We argue that the strategy of culling infected dogs is not the most efficient way to control zoonotic visceral leishmaniasis (ZVL) and that, in the presence of alternative control strategies with better potential results, official programs of compulsory culling adopted by some countries are inefficient and unethical. We base our arguments on a mathematical model for the study of control strategies against ZVL, which allows the comparison of the efficacies of 5, alternative strategies. We demonstrate that the culling program, previously questioned on both theoretical and practical grounds is the less effective control strategy. In addition, we show that vector control and the use of insecticide-impregnated dog collars are, by far, more efficient at reducing the prevalence of ZVL in humans.

Fuzzy Semi-Active Control of Multi-Degree-of-Freedom Structure Using Magnetorheological Elastomers

2017 ◽  
Author(s):  
Nguyen Xuan Bao ◽  
Toshihiko Komatsuzaki ◽  
Yoshio Iwata ◽  
Haruhiko Asanuma
Keyword(s):  
Active Control ◽  
Control Strategy ◽  
Control Strategies ◽  
Excitation Frequency ◽  
Harmonic Excitation ◽  
Effective Control ◽  
Magnetic Flux Density ◽  
Model Parameters ◽  
Structural Vibrations ◽  
Standard Linear Solid

Magnetorheological elastomer (MRE), used in semi-active control, has recently emerged as a smart material that could potentially improve traditional systems in controlling structural vibrations. This study considers two main issues concerning the application of an MRE. The first issue is the modelling and identification of the viscoelastic property, and the second is the formulation of an effective control strategy based on the fuzzy logic system. Firstly, a nonlinear dynamic MRE model was developed to simulate the dynamic behavior of MRE. In this model, the viscoelastic force of the material as an output was calculated from displacement, frequency, and magnetic flux density as inputs. The MRE model consisted of three components including the viscoelasticity of host elastomer, magnetic field-induced property, and interfacial slippage that were modeled by analogy with a standard linear solid model (Zener model), a stiffness variable spring, and a smooth Coulomb friction, respectively. The model parameters were identified by manipulating two sets of data that were measured by changing applied electric current and harmonic excitation frequency. A good agreement was obtained between numerical and experimental results. The proposed model offers a beneficial solution to numerically investigate vibration control strategies. Secondly, a fuzzy semi-active controller was designed for seismic protection of building with an MRE-based isolator. The control strategy was designed to determine the command applied current. The proposed strategy is fully adequate to the nonlinearity of the isolator and works independently with the building structure. The efficiency of the proposed fuzzy semi-active controller was investigated numerically by MATLAB simulations, whose performance was compared with that of passive systems and a system with traditional semi-active controller. Numerical results show that the developed fuzzy semi-active controller not only mitigates the responses of both the base floor and the superstructure, but also has an ability to control structural vibrations adaptively to the different intensity ground motions.

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.

Sign in / Sign up

Export Citation Format

Share Document