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Active Disturbance Rejection Control and Its Application in a Kind of Thermal Control System

Author: XiangZhen
Tutor: ZhangJinFang
School: North China Electric Power University (Beijing)
Course: Control Theory and Control Engineering
Keywords: ADRC control Tracking Differentiator Adaptive Genetic Algorithm Circulating fluidized bed boiler Superheated steam temperature
CLC: TP273
Type: Master's thesis
Year: 2011
Downloads: 104
Quote: 2
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Abstract


Thermal power generating units with a large delay, large inertia, nonlinear, strong disturbance, multivariable coupling, with the rapid development of China's electric power industry, thermal power generating units being changed to high-parameter, high-capacity and high automation direction quality control requirements are also increasing. Common PID controller is difficult to achieve satisfactory control effect Disturbance Rejection Control as a new control strategy has been obtained in a number of areas of research and application. The main contents of this paper is to select the hyperbolic tangent function as acceleration function, excellent performance tracking differentiator; An improved adaptive genetic algorithm based on the design of a self-Immunity controller parameter tuning method. ; last applied to thermal power generating units in the simulation experiment. Firstly, the design of a new tracking differentiator. Several common tracking differentiator analysis and design acceleration function of a hyperbolic tangent function forms. Compared with several tracking differentiator In this paper, the design of the hyperbolic tangent tracking differentiator does not use the piecewise functions and symbolic functions of several other tracking differentiator is conducive to the theoretical analysis. Further elaborated in its stability analysis, select the hyperbolic tangent function as the basis of of tracking differentiator acceleration function and summarizes several parameters to adjust the experience. Finally, a simulation study of several typical input signal The results showed that the tracking differentiator designed in this paper has a better tracking of the input signal, the differential performance. ADRC controller parameter tuning more difficult, especially for large time delay, nonlinear, multi-disturbance control problems. To address this issue, the researchers improved adaptive genetic algorithm, based on the design parameter tuning method based on improved adaptive genetic algorithm from the anti-rejection control. Firstly, from the anti-interference control parameter tuning of parameters whole set experience, preliminary determine the tracking differentiator, the extended state observer, nonlinear error feedback control law parameters, in order to narrow the parameters tuning range; fitness function selected considering the ITAE indicators, the control signal constraint, the control limit of the energy problem. Of the ADRC control control object in a class of thermal power generating units. Were used in four different load transfer function model for circulating fluidized bed temperature control objects in three different load transfer function model and a 600MW Supercritical Boiler superheater the ADRC control method for simulation. ADRC controller tracking differentiator with the proposed tracking differentiator expansion of the state observer and the nonlinear error feedback control law parameter tuning optimization method proposed in this paper. In the step response, the robustness of the experiments and the perturbation experiments were carried out with the use of the PID control were compared. The simulation results show that, the ADRC control has better robustness and disturbance rejection capability, you can achieve the full control of the conditions.

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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation systems > Automatic control,automatic control system
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