scholarly journals Development of model reference adaptive control theory for electric power plant control applications

1982 ◽  
Author(s):  
L.E. Mabius
Keyword(s):  
Adaptive Control ◽  
Power Plant ◽  
Control Theory ◽  
Electric Power ◽  
Model Reference Adaptive Control ◽  
Model Reference ◽  
Control Applications ◽  
Power Plant Control ◽  
Model Reference Adaptive ◽  
Plant Control

Mechanical and Electrical Control System Design Based on Adaptive Control Theory

2013 ◽  
Vol 380-384 ◽  
pp. 463-466
Author(s):  
Ying Li
Keyword(s):  
Adaptive Control ◽  
Control System ◽  
Control Theory ◽  
Model Reference Adaptive Control ◽  
Software System ◽  
Parallel Model ◽  
Adaptive Control System ◽  
Model Reference ◽  
Electrical Control ◽  
Model Reference Adaptive

A parallel model reference adaptive control system was designed for reaching the optimal control effect and performance in the electrical control system based on the adaptive control theory. The control weighting coefficient was adjusted precisely in real time with the adaptive control theory for the matching and transmission of the self-performance and the out information, and the performance of the control system could reach optimal performance. But on the other hand, the adaptive control theory hadnt is applied in the torpedo control system. An improved electrical control system algorithm was proposed in this system based on the adaptive control theory. The torpedo control system was taken as the example, the parallel model reference adaptive control system was designed. The hardware circuit diagram of the control system was designed. And the control algorithm of the three-channel such as the pitch, yaw and roll of the torpedo control system was designed separately. And the output signal of the system and the software system of the three-channel torpedo control system was simulated. The design result and the simulation result show that the control performance is stable and the software system shows nice performance of human-computer interaction property and good perspective of application performance.

scholarly journals Speed control of hydraulic turbines for grid synchronization using simple adaptive add-ons

2018 ◽  
Vol 51 (7-8) ◽  
pp. 276-284 ◽  
Author(s):  
Dogan Gezer ◽  
Yiğit Taşcıoğlu ◽  
Kutay Çelebioğlu
Keyword(s):  
Adaptive Control ◽  
Power Plant ◽  
Reference Model ◽  
Gain Scheduling ◽  
Model Reference Adaptive Control ◽  
Operating Conditions ◽  
Hydroelectric Power ◽  
Model Reference ◽  
Grid Synchronization ◽  
Model Reference Adaptive

Background: Parameters of the hydroelectric power plant controllers are typically tuned at the nominal operating conditions such as nominal head and single unit operation. Water level variations in reservoir and/or tailwater, and the presence of other active units sharing the penstock are common disturbances to the nominal assumption. Methods: This article proposes two adaptive add-ons, namely gain scheduling and model reference adaptive control, to the existing speed controllers to improve grid synchronization performance when the site conditions are not nominal. The add-ons were designed and tested on a validated dynamic model of a power plant unit by using a software-in-the-loop simulation setup. An off-season scenario is simulated, in which the original controller of the unit cannot bring the turbine to synchronize with the grid due to low gross head. Then, the add-ons were implemented on-site and experiments were performed under similar conditions. The parameter sets used in gain scheduling for different operation bands are determined off-line with the help of operational experience. The model reference adaptive control add-on requires a reference model and a learning rate. A description of the turbine speed-up profile at nominal operating conditions is sufficient to be used as the reference model. The proposed piecewise linear reference model favors stability over speed in settling to the nominal speed. Results: It is experimentally shown that the proposed add-ons compensate the negative effect of head loss in grid synchronization, and perform similar to the ideal performance at the nominal head. Conclusion: Both add-ons can be implemented on the available off-the-shelf speed governor controllers. They are suitable for use in all hydroelectric power plants, especially in unmanned ones, for automatic synchronization with less waste water.

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