Development of intelligent controllers for pyrolysis reactors control systems based on their mathematical models (original) (raw)
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Technology audit and production reserves
The object of research is the control system for the pyrolysis reactor of agricultural waste (plant biomass). The subject of research is the stability and the value of the calorific value of synthesis gas formed by pyrolysis of plant biomass. The biggest problem of the technological object (the pyrolysis reactor of agricultural waste) is the high sensitivity of the heating value of synthesis gas to disturbances in the composition of plant biomass. This sensitivity is expressed as a square law of the amount of oxidant required to achieve a high calorific value. Another problem is the deviation of certain time constants of the control object, caused by changes in the chemical composition of the plant biomass. The built control system provides a high calorific value of the generated syngas by determining the composition of the waste, pyrolysis by determining the composition of the generated syngas in a separate isoenthalpic device, and stabilizes it. Information on the composition of r...
A new method for controlling boiler of thermal power plant using fuzzy logic
Proceedings of 3rd International …, 2009
This work presents a new method for controlling fuel and air fed boiler of thermal power plant using Fuzzy logic. The control strategy is based on supervisor level using Fuzzy logic that is required to determine automatically the optimal process set points of regulations level. Besides, this paper describes thermal power plant simulator developed by Matlab-Simulink.
A New Approach Applied to a Thermal Power Plant Controller Using Fuzzy Logic
2009
This work presents a new approach for controlling dynamic parameters of thermal power plant using Fuzzy logic. The control strategy is based on supervisor level using Fuzzy logic that is required to determine automatically the optimal process set points of regulations level. A thermal power plant simulator has been developed through the use of Matlab-Simulink. Besides, this paper describes hardware implementation using PLC based DCS.
A fuzzy logic controller application for thermal power plants
Energy Conversion and Management, 2006
Nowadays, instead of conventional control techniques, modern control techniques have been implemented for a lot of industrial models practically or theoretically. In this study, a fuzzy logic-based control technique to regulate the power and enthalpy outputs in a boiler of a 765 MW coal-fired thermal power plant was carried out. For comparison, a conventional proportional, integral and derivative (PID), a fuzzy logic (FL) and a fuzzy gain scheduled proportional and integral (FGPI) controllers have been applied to the power plant model. The simulation results show that the FGPI controller developed in this study performs better than the rest controllers on the settling time and overshoot of power and enthalpy outputs.
A Fuzzy Pi Controller Application in Boilers of Thermal Power Plants
Nowadays, instead of conventional control techniques, modern control techniques have been implemented for a lot of industrial models practically or theoretically. In this study, a fuzzy logic-based control technique to regulate the power and enthalpy outputs in a boiler of a 765 MW coal-fired thermal power plant was carried out. For comparison, a conventional proportional, integral and derivative (PID), a fuzzy logic (FL) and a fuzzy gain scheduled proportional and integral (FGPI) controllers have been applied to the power plant model. The simulation results show that the FGPI controller developed in this study performs better than the rest controllers on the settling time and overshoot of power and enthalpy outputs.
Process control with automation in nuclear reactor using fuzzy logic controller
2014
Fuzzy logic controller can be applied to water level control in nuclear power plant to maintain water level in nuclear reactor. Fuzzy logic controller is capable of controlling process using experience of human along with automation. The purpose of this paper is to design a mathematical, physical and simulation modal of fuzzy logic controller for water level control of the reactor in Nuclear Power Plant by using simulation package SIMULINK and Fuzzy Logic Toolbox in MATLAB. The behavior of the system is tested using typical square wave signal as disturbance. The response of the fuzzy controller is then compared with a conventional proportional-integral-derivative (PID) controller. Use of fuzzy logic leads to lower development costs, superior features, and better end product performance
Algorithms for synthesis of a fuzzy control system chemical reactor temperature
Proceedings of the III International Workshop on Modeling, Information Processing and Computing (MIP: Computing-2021), 2021
The issues of synthesis of a fuzzy control system for ill-defined technological processes are considered. An effective algorithm for the synthesis of a fuzzy logic controller and a fuzzy system for automatic regulation of the temperature regime of a chemical reactor, invariant to parametric and external disturbances, is presented. The proposed synthesis algorithm for a fuzzy-logical proportional-integral-differential (PID)-controller is simple and allows you to use a standard form of description of linguistic variables and a minimum set of control rules. The synthesized fuzzy logic controller gives the entire automatic control system the ability to maintain the reactor temperature at a given level in the presence of external disturbances, as well as to qualitatively control the technological process with a wide range of changes in its parameters over time. The used methods of the theory of fuzzy logic and neural networks allow you to operate with linguistic fuzzy statements. The bases of the rules of logical inference of a fuzzy-logical regulator in the form of a Cartesian product of fuzzy sets with a membership function, which has a trapezoidal shape, have been formed. The results of modeling a fuzzylogic control system showed that if there is a noisy external disturbing signal in the system and its level changes up to 30%, as well as changes in the parameters of the control object (gain and constant time) up to 25% (in the direction of increasing and decreasing), the fuzzy system retains the properties of stability.
PARAMETER CONTROLLING OF BOILER IN POWER PLANTS USING FUZZY LOGIC CONTROLLER
Boilers are used industrially both for electric power generation and for supplying process stream in thermal power plants and its control is very important in many field applications. In some situation conventional PID control technique is being used for control purpose. These conventional controllers are not well suitable for some unusual conditions like load disturbances. Fuzzy logic control technique is being used to overcome these problems. A closed loop control system incorporating fuzzy logic has been developed for a class of industrial control systems. A unique fuzzy logic controller (FLC) structured with an efficient realization and a small rule base that can be easily implemented in existing industrial controllers. Fuzzy logic control system is much closer to human thinking and natural language than traditional control systems. This paper describes a fuzzy control technique and its implementation in boiler controls. Here a PIC microcontroller is being used where fuzzy control algorithm is implemented.
The pressurized water reactor type power plant has a sophisticated automatic control systems. On the primary side, The Control rod system and the Soluble boron control the core neutron flux. On the secondary side, output steam is controlled by the turbine control valve and steam dump system. During the automatic control mode, the two sides work in a synchronized way so that transition to stabilized conditions will be achieved smoothly. This paper presents a detailed nuclear power model for the medium-term and long-term power system stability. This model can be used to analyze the difference transient fault on electrical grid. Also this work introduces the effect of utilizing the Fuzzy logic control methodology in the power control model of the PWR (pressurized water reactor). The fuzzy logic controller was tested on a PWR model using the Matlab Simulink Interface. Three case studies were performed on the model using both the fuzzy logic method and the normal rod speed program for controlling the nuclear power plant variables. The proposed controller presented a higher performance than that of the conventional PID controller.
Proposal of a Fuzzy Control System for Heat Transfer Using PLC
The article presents a fuzzy controller design for using PLC as a control system. The subject of controlling is a mathematical model of a heat exchanger modeled in Simulink. The control algorithm was developed and configurated in the FuzzyControl++ configuration tools for the automation of technical processes. The goal of the paper is to explore the possibilities to implement and realize the potential of fuzzy control in areas belonging to the domain of classical regulation. Model of the closed loop control system in virtual environment is used to perform multiple simulations to detect the system behavior under various conditions. It is concluded that the applied control strategies can offer same properties in progress of regulation and offer better approach to intuitive knowledge base design and configuration parameters of controller.