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.
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).
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 ...
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 …
In order to realize automatic control of the multivariable, large time delay and nonlinearity problem in the cement mill, a design method of the controller based on Bang-Bang 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. …
The paper describes the application of fuzzy logic to the computer control of a rotary cement kiln. A special language -Fuzzy Control Language -facilitating computer …
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 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 …
Request PDF | A neuro-fuzzy controller for rotary cement kilns | In this paper, we design a neurofuzzy controller to control several variables of a rotary cement kilns.
To solve this problem, an intelligence-based temperature switching control strategy has been proposed. The control strategy consists of a fuzzy controller based on T-S, an abnormal condition controller, and a switching mechanism based on rule reasoning with a feedforward compensation.
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 …
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 …
The dry rotary cement kiln is the most important part of the cement plant. Cement kilns exhibit time-varying nonlinear behavior and relatively few measurements are available, consequently, automatic control is usually restricted to a few simple control loops on secondary variables, leaving the responsibility for the control of primary variables to the …
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 ...
Take the predicted three-day cement strength as feedback, calculate the optimal control variables of cement grinding process (Operation-Mode) by fuzzy …
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.
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 …
Structure of rotary cement kiln advising control unit based on sintering zone state assessment Let us describe in more detail designed advising control unit.
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 th
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 ...
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, an improved Fuzzy-Smith intelligent controller is studied, which combines fuzzy control with improved Smith predictive control scheme, thus improving the stability and robustness of the control system.
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 …
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.
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
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 …
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
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 ...
Download Citation | On Nov 1, 2018, Ronazhen Guan and others published Research on Sliding Mode Control of Cement Decomposing Furnace Based on T-S Fuzzy Model | Find, read and cite all the ...
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 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.
Rotary cement kiln is a large time delay and inertia component. It is typical problems in industrial process control, so when applying advanced control methods to systems. This paper designs an improved Fuzzy-Smith controller. It combines Fuzzy with improved Smith predictor control method. Smith predictor algorithm compensates for the time delay and...
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 …
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.
In order to realize automatic control of the multivariable, large time delay and nonlinearity problem in the cement mill, a design method of the controller based on Bang-Bang and fuzzy PID self-tuning is proposed in this paper. When small fluctuations in system, the controller selects fuzzy PID self-tuning control; when the large fluctuations in the …
Control System Architecture for a Cement Mill Based on Fuzzy Logic 167 Figure 3: Fuzzy system structure with fuzzy controller decomposed by fuzzy rules It was defined by the Wong team [7, 8] as a fuzzy subsystem associated to rule i, a system presumed to control the given process only by command ui.
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.
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