Design of Main Steam Temperature Cascade Control System Based on Fuzzy Self-Tuning PID Controller

2008 ◽  
Author(s):  
Jing Zeng ◽  
Youcheng Xie ◽  
Lei Chen
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Cascade Control ◽  
Steam Temperature ◽  
Self Tuning ◽  
Main Steam ◽  
Cascade Control System

Cascade Fuzzy Self-Tuning PID Control for the Liquid-Level Control of Double Water-Tank

2011 ◽  
Vol 383-390 ◽  
pp. 207-212 ◽  
Author(s):  
Yi Lin ◽  
Xiao Ling Ye
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Level Control ◽  
Self Tuning ◽  
Liquid Level Control ◽  
Cascade Control System

Aiming at the liquid-level control of double water-tank, this paper discusses the application of fuzzy control theory in liquid-level control system and a cascade control method based on fuzzy self- tuning PID controller is proposed. The design method of this fuzzy self- tuning PID controller is put forward. The fuzzy self- tuning PID controller is designed and the control effect of three kinds control methods, the single loop PID control system, the cascade control system and the cascade control system based on fuzzy self- tuning PID are simulated with Simulink. The analysis and simulation results indicate that the overshoot, the adjusting time and the capacity of anti- disturbance of the liquid-level cascade control system based on fuzzy self- tuning PID controller are superior to those of the general single loop PID control and cascade control.

Simulation of Main Steam Temperature Control System Based on Fuzzy PID and Improved Smith Predictor

2013 ◽  
Vol 732-733 ◽  
pp. 280-285 ◽  
Author(s):  
Chang Liang Liu ◽  
Yong Bo Zhang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Smith Predictor ◽  
Cascade Control ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Steam Temperature ◽  
Main Steam ◽  
The Mathematical Model ◽  
Cascade Control System

The main steam temperature process has the characteristics of large inertia, large time delay and time-variation , to solve this problem, the fuzzy PID cascade control system with Smith predictor is presented .The improved Smith predictor with the effect of filtering was used in the main loop of the cascade control system, and fuzzy PID compound controller was used as the main controller based on the advantage of fuzzy control and PID. Through establishing the mathematical model and simulating the main steam temperature control system, either the parameter changed or invariable, the results show that the method can improve the control qualities and enhance the robustness and stability of the control system.

scholarly journals Simultaneous Optimization of Tuning PID Cascade Control System Using Duelist Algorithms

2017 ◽  
Author(s):  
Totok R. Biyanto
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Open Loop ◽  
Previous Method ◽  
Cascade Control ◽  
Simultaneous Optimization ◽  
Primary Loop ◽  
System P ◽  
Advanced Control ◽  
Cascade Control System

In this research, Proportional-Integral-Derivative (PID) controller was integrated into the advanced control system to achieve an optimal performance. One type of advanced control system is cascade control. In conventional cascade control, controller parameters in primary and secondary loops are tuned sequentially. First, the parameters in secondary controller are tuned using certain tuning rule, meanwhile the primary loop in the open loop mode. Furthermore, the controller parameters in primary loop are tuned by considering the influence of the controlled secondary loop. This makes the tuning of PID cascade control more difficult and takes more time consuming. This paper describes a method of simultaneous tuning cascade control system using Duelist Algorithm (DA) to estimate the proper control parameters of the primary and the secondary loops in the plants. The analysis was conducted based on the evaluation of the closed-loop response to a step set point changes. The results show that the proposed method has better control performance than the previous method. PID auto tuning using DA provide more robust performance of the control system.

Based on the BP Neural Network-PID Series Control Boiler Main-Steam Temperature System Research

2011 ◽  
Vol 354-355 ◽  
pp. 968-973 ◽  
Author(s):  
Wen Zhu ◽  
Jian Ping Sun
Keyword(s):  
Neural Network ◽  
Control Strategy ◽  
Bp Neural Network ◽  
Pid Controller ◽  
Cascade Control ◽  
Steam Temperature ◽  
Control Effect ◽  
Real Time System ◽  
Main Steam ◽  
Neural Network Pid

Due to the boiler main-steam temperature system exists more serious characteristics,such as much capacitive,nonlinear,time-varying and lag, so adopt cascade control strategy. This paper design a control algorithm which is based on BP neural network, it can accelerate the regulating time, and combined with the conventional PID controller, constitute the BP neural network - PID cascade control strategy. This control strategy not only contain the BP neural network control in real time system strong anti-interference ability characteristic, but also fully utilize the PID controller response speed characteristic. The simulation results show that based on the BP neural network - PID series control boiler main-steam temperature system can achieve satisfactory control effect.

The Study on the Fuzzy Control Algorithm for Main Steam Pressure Control of Circulated Fluidized Bed Boiler

2011 ◽  
Vol 383-390 ◽  
pp. 2092-2096
Author(s):  
Zhong Jie Wang ◽  
Ning Han ◽  
Jia Wang
Keyword(s):  
Control System ◽  
Vapor Pressure ◽  
Fluidized Bed ◽  
Circulating Fluidized Bed ◽  
Fuzzy Controller ◽  
Steam Pressure ◽  
Cascade Control ◽  
Circulating Fluidized Bed Boiler ◽  
Main Steam ◽  
Cascade Control System

The main steam Pressure is one of the most important guidelines on Circulating Fluidized Bed Boiler (CFBB) operation quality and an important part in control system of CFBB. However, It is very difficult to establish the exact mathematical models of controlled objects because the combustion system of circulating fluidized bed boiler is an object that has many features: distributed parameters, nonlinear, time-varying and long time-delaying. it is unfavorable to control it with traditional controller. Therefore , In this paper fuzzy controller is used in controlling main vapor pressure systems of CFBB, and the fuzzy cascade control system is designed. In computer simulation, the fuzzy cascade control system exert stably, and has perfect control effect to main vapor pressure systems of CFBB.

Adaptive PID Cascade Control for Superheated Steam Temperature Based on Inverse Model

2011 ◽  
Vol 133 (11) ◽  
Author(s):  
Zhijie Wang ◽  
Guangjun Wang ◽  
Hong Chen
Keyword(s):  
Control System ◽  
Power Plant ◽  
Superheated Steam ◽  
Thermal Power ◽  
Control Process ◽  
Inverse Model ◽  
Cascade Control ◽  
Steam Temperature ◽  
Superheated Steam Temperature ◽  
Cascade Control System

Since the superheated steam temperature system of boiler in thermal power plant is characterized as time varying and nonlinear, it is hard to achieve a satisfactory performance by the conventional proportional-integral-derivative (PID) cascade control scheme. This paper presents a design method of adaptive PID cascade control system for superheated steam temperature based on inverse model: First, the inner loop and the outer process in the cascade control system are equivalent to a generalized plant. A simplified Takagi–Sugeno (STS) fuzzy model is adopted to identify the inverse model of the generalized plant. By choosing the appropriate structure and optimizing with constrains for the parameters of the inverse model, the organic combination of the PID primary controller with the inverse model is realized. To maintain the structure of the existing conventional PID cascade control system in power plant without change, in the control process, the parameters of the primary controller are adjusted on-line according to the identification result of the inverse model of the generalized plant; thus an adaptive PID cascade control system is formed, which matches with the characteristics of the controlled plant. Through the simulation experiments of controlling superheated steam temperature, it is illustrated that the proposed scheme has good adaptability and anti-interference ability.

scholarly journals Study on an improved algorithm for optimization of PID parameters

2016 ◽  
Vol 12 (02) ◽  
pp. 58 ◽  
Author(s):  
Shaofei Wu
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Ant Colony Algorithm ◽  
Dynamic Performance ◽  
Ant Colony ◽  
Temperature Control System ◽  
Steam Temperature ◽  
Main Steam ◽  
Improved Ant Colony Algorithm ◽  
Controlled Object

The improved ant colony algorithm is the hybrid algorithm consisting of the genetic algorithm and ant colony algorithm convergence. Through the introduction of the gauss mutation, we achieve the goal of improving ant colony algorithm. Using coal-fired power plant unit as main steam temperature controlled object, we design the PID controller based on improved ant colony algorithm. And setting of PID parameters by Z - N method has carried on the comparative analysis of the main steam temperature control system. Simulation results show that PID optimization based on improved ant colony algorithm can greatly improve the dynamic performance of the control system. So we verify the sophistication and effectiveness of the algorithm.

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