In order to obtain accurate load forecasting of coal-fired unit, a new algorithm based on Support Vector Machine (SVM) method is presented. This algorithm establishes a model to reflect the complicated relation between the load of coal-fired unit and the furnace flame Images. The trained SVM model is applied to a 660MW coal-fired unit to forecast the load with two groups of test samples. The results are compared with that of BP neural network model. It is shown the SVM model is more accurate than the BP NN model. The SVM method can satisfy the demand of engineering applications with the advantages of high forecasting accuracy and more generalized performance.
The method to analysis the advantages of S Function and Auto-Disturbance-Rejection Control(ADRC)[1]. Basing on the MATLAB/SIMULINK as the simulation platform, three function blocks were constructed adopting the S Function and the subsystems’ encapsulation was realized as well according to the discrete algorithm of the Nonlinear State Error Feedback(NLSEF), the Tracking Differentiator(TD) and the Extended State Observer(ESO). By conducting the simulation example of the main steam temperature control system in a certain thermal power plant, the correctness and the effectiveness of the ADRC have been demonstrated.
In the network communication, communication systems require multiple tasks simultaneously and independently, and each task needs constantly performing before termination in normal. In order to meet the demand, put forward the multi-channel thread method in communication process. Based on TCP / IP protocol socket network communication, in order to make the server effectively distinguish between multiple client task and accurate transmission of information, using multi thread method processing communication details, ensure the separate and concurrent of communication between each node and server. Deep understanding and flexible use of thread method to the communication process is the key to network communication.
Network control system (NCS) is developed from the cross-integration of network technology and control technology, which is with advantages of sharing resources, low price, light weight, easy installation and maintenance, low energy consumption and so on. A robust control approach is proposed in this paper to solve the stabilization problem for networked control systems (NCS) with short time-varying delays. By considering state feedback controllers, the closed-loop NCS is described as a discrete-time linear uncertain system model. Then, the asymptotic stability condition for the obtained closed-loop NCS is derived, which establishes the quantitative relation between the stability of the closed-loop NCS and two delay parameters, namely, the allowable delay upper bound (ADB) and the allowable delay variation range (ADVR). Furthermore, design procedures for the stabilizing controllers are also presented. An illustrative example is finally given to demonstrate the effectiveness of the proposed method.
Firstly, according to the topology of conventional chopper cascade speed system to analyze the transient process of main loop during of contactor operation when device failure. Because the contactor action requires a longer time, Equipment is vulnerable to the impact of high voltage, high current during the contactor action, and cause damage to power electronic devices. For contactors drawbacks, the main circuit topology with electronic-protection circuit is designed. Then analyze transient process of chopper cascade speed control system with electronic-protection circuit under high-voltage power failure conditions. Finally, simulation model of chopper cascade speed control system with electronic-protection circuit is built respectively in Matlab. Simulation results show that electronic-protection circuits effectively solve the problem of high-voltage power failure under active inverter structure and inverter subversion.
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