A case study on continuous process control based on fuzzy logic and supported by expert knowledge is proposed. The aim is to control the coal-grinding operations in a cement manufacturing plant.
In order to overcome the difficulties of temperature controlling, model establishment and poor universality, a decomposing furnace temperature control method is proposed using fuzzy rules ...
A special language – Fuzzy Control Language – facilitating computer programming with the relevant control algorithms is outlined. Based on experience gained through fuzzy control on actual operation of cement kilns it is concluded that fuzzy control is a practicable and effective way of increasing the level of coordinative control …
Process control also enhances product quality, resulting in more effective clinker grinding. Most contemporary control systems make use of "expert control" systems, commonly referred to as "fuzzy logic" or "model predictive" controls.
The framework is designed to improve the procedure control in various concrete processing plants. ... Industrial IoT based fuzzy control framework is developed in this work which uses web-based application to control the process from anywhere. The flame image analysis is carried out in various frames of three different datasets and …
A fuzzy predictive control method for the cement system is presented concerned with the problem of the modeling mismatch, when we make the linear discrete in the local point. …
s the feed flow based on Fuzzy Logic for adjusting the fresh feed. Control system architecture (CSA) consists of: a fuzzy controller, Programmable Logic Controllers (PLC …
This paper analyzes the working principle of grate cooler system and the main factors that affect the efficiency of grate cooler system. By applying the improved BP(back propagation) algorithm in neural network modeling, make the neural network predicts the grate chamber pressure, then modify the grate speed value that obtained by the fuzzy controller to …
In this investigation the shear strengths of steel-concrete composite beams was analyzed based on the respective variable parameters. The methodology used by ANFIS (Adaptive Neuro Fuzzy Inference System) has been adopted for this purpose.
An improved fuzzy three impulses control scheme that comes from the drum level control of waste heat boiler is put forward that reflects the smoke temperature of the interference change in the heat source side and the exhaust fan's rotational speed in the kiln inlet. The heat source of waste heat power generation of cement plant is the waste …
The heat source of waste heat power generation of cement plant is the waste heat gas of cement rotary kiln. Influenced by the impact of cement production, the control system is complex, so the existing control scheme cannot make the satisfactory effect. Based on a thorough analysis of the existing control scheme and the reference to manual operation …
An improved Fuzzy-Smith controller is designed that owns stronger robustness and much better control quality and is an appropriate and simple control method for the system with pure lag. Rotary cement kiln is a large time delay and inertia component. It is a typical problem in industrial process control, so advanced control methods should be adopted.
Quality control is paramount in product manufacturing as it ensures consistent production to meet customer expectations, regulatory requirements and maintain a company's reputation and profitability. Distance measures within fuzzy sets serve as powerful tools for quality control, allowing for data comparison and identification of …
The fuzzy predictive control,which is a new kind of predictive control algorithm,is applied to a decomposing furnace exit temperature control system in a cement rotary kiln.The application result … Expand
We applied Internet technologies to develop a fuzzy control system based on Internet access for an industrial process plant. The system created to optimize the process control in different cement factories in Algeria. Until 2016, none cement industry apply neither fuzzy control nor Internet-based control in his production system.
Takagi-Sugeno neuro-fuzzy system (TSNFS) is used for identification of cement rotary kiln, and gradient descent (GD) algorithm is applied for tuning the parameters of antecedent and consequent parts of fuzzy rules. Cement rotary kiln is the main part of cement production process that have always attracted many researchers' attention.
This paper describes a control system architecture for cement milling that uses a control strategy that controls the feed flow based on Fuzzy Logic for adjusting the fresh feed.
In this paper, we used the advantages of neural-fuzzy network techniques to develop an intelligent control system for cement kiln process. The NFC was able to learn to control …
In order to realize the target tracking control of cement strength, a self-learning fuzzy predictive control algorithm is proposed to calculate the adjustment variables of cement grinding process Considering the serious hysteresis of cement strength detection, the 3-day cement strength needs to be predicted, statistical models cannot actually ...
The quality and ratio of clinker, the fineness of cement are key factors affecting the strength of cement. In order to realize the target tracking control of cement strength, a self-learning fuzzy ...
The proportion integration differentiation (PID) control, fuzzy control, model predictive control and their combined control algorithms were summarized. In order to improve the grinding quality of cement vertical grinding powder, the feasibility of …
Semantic Scholar extracted view of "A novel self-learning fuzzy predictive control method for the cement mill: Simulation and experimental validation" by Tianyu Ma et al.
This paper develops an Internet-based fuzzy control system for an industrial process plant to ensure the remote and fuzzy control in cement factories in Algeria. The …
Abstract. A case study on continuous process control based on fuzzy logic and supported by expert knowledge is proposed. The aim is to control the coal-grinding …
Automatic control belongs to the application areas of fuzzy set theory that have attracted most attention.In 1974, the first successful application of fuzzy logic to the control of a laboratory-scale process was reported (Mamdani and Assilian 1975). Control of cement kilns was an early industrial application (Holmblad and Ostergaard 1982).
This paper develops an Internet-based fuzzy control system for an industrial process plant to ensure the remote and fuzzy control in cement factories in Algeria.
This paper develops an Internet-based fuzzy control system for an industrial process plant to ensure the remote and fuzzy control in cement factories in Algeria.
Fuzzy Control Of Rotary Cement Kiln Using Sintering Zone Image Recognition Dmitry Yudin, Valery Magergut, Vasiliy Rubanov Department of Technical Cybernetics
the implementation of fuzzy control temperature for the CT to reduce dust emissions from the cement plant compared with the traditional operator. Keywords: Temperature Control, PLC, Fuzzy ...
8 Fuzzy Gain Scheduling Control 217 8.1 Point Designs and Interpolation 218 8.2 Fuzzy Gain Scheduling 219 8.3 Fuzzy Compensator Design 221 8.4 Autopilot Example: Stopping on a Hilltop 226 8.5 Summary 228 8.6 Case Study: the FLS Controller* 229 8.6.1 Cement Kiln Control 229 8.6.2 High-Level Fuzzy Control 231 8.6.3 The FLS Design Procedure …