Frequency-domain Analysis of A Modified Active Disturbance Rejection Control With Application to Superheated Steam Temperature Control

2019 ◽  
Author(s):  
Zhenlong Wu ◽  
Fan Zhang ◽  
Gengjin Shi ◽  
Ting He ◽  
Donghai Li ◽  
...  
Keyword(s):  
Frequency Domain ◽  
Temperature Control ◽  
Disturbance Rejection ◽  
Superheated Steam ◽  
Frequency Domain Analysis ◽  
Active Disturbance Rejection Control ◽  
Steam Temperature ◽  
Superheated Steam Temperature ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

scholarly journals Superheated Steam Temperature Control Based on a Hybrid Active Disturbance Rejection Control

Energies ◽  
2020 ◽  
Vol 13 (7) ◽  
pp. 1757 ◽  
Author(s):  
Gengjin Shi ◽  
Zhenlong Wu ◽  
Jian Guo ◽  
Donghai Li ◽  
Yanjun Ding
Keyword(s):  
Control Strategy ◽  
Disturbance Rejection ◽  
Superheated Steam ◽  
Active Disturbance Rejection Control ◽  
Control Performance ◽  
Steam Temperature ◽  
Loop Control ◽  
Superheated Steam Temperature ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control

Superheated steam temperature (SST) is a significant index for a coal-fired power plant. Its control is becoming more and more challenging for the reason that the control requirements are stricter and the load command changes extensively and frequently. To deal with the aforementioned challenges, previously the cascade control strategy was usually applied to the control of SST. However, its structure and tuning procedure are complex. To solve this problem, this paper proposes a single-loop control strategy for SST based on a hybrid active disturbance rejection control (ADRC). The stability and ability to reject the secondary disturbance are analyzed theoretically in order to perfect the theory of the hybrid ADRC. Then a tuning procedure is summarized for the hybrid ADRC by analyzing the influences of all parameters on control performance. Using the proposed tuning method, a simulation is carried out illustrating that the hybrid ADRC is able to improve the dynamic performance of SST with good robustness. Eventually, the hybrid ADRC is applied to the SST system of a power plant simulator. Experimental results indicate that the single-loop control strategy based on the hybrid ADRC has better control performance and simpler structure than cascade control strategies. The successful application of the proposed hybrid ADRC shows its promising prospect of field tests in future power industry with the increasing demand on integrating more renewables into the grid.

scholarly journals Fractional-Order PID and Active Disturbance Rejection Control with Tuning Parameter Optimization for Induction Heating

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bingyu Li ◽  
Jining Guo ◽  
Ying Fu
Keyword(s):  
Fractional Order ◽  
Temperature Control ◽  
Induction Heating ◽  
Disturbance Rejection ◽  
Active Disturbance Rejection Control ◽  
Heating Systems ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
Fractional Order Pid ◽  
Control Accuracy

Induction heating systems are characterized by model uncertainty, nonlinearity, and external disturbances, and the control accuracy of the system directly affects the performance of the heated workpiece. In order to improve the temperature control accuracy and anti-interference performance of induction heating systems, this paper proposes a composite control strategy combining fractional-order PID (FOPID) and active disturbance rejection control (ADRC). Meanwhile, for the problem of too many controller tuning parameters, an improved quantum behavior particle swarm optimization (QPSO) algorithm is used to transform the nine parameters to be tuned in fractional-order PID active disturbance rejection control (FOPID-ADRC) into a minimization value optimization problem for solving. The simulation results show that the FOPID-ADRC controller improves the anti-interference capability and control accuracy of the temperature control system, and the improved QPSO algorithm has better global search capability and local optimal adaptation value.

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