Dyadic coordination controller and optimization design method based on trapezoid combined instruction

Abstract

The invention discloses a dyadic coordination controller, a trapezoid combined instruction signal generating method and a design method, and is applied to a thermal power set steam turbine-boiler coordination control system. The dyadic coordination controller comprises a front constant array, a diagonal controller array, a diagonal filter array and a rear constant array, wherein the diagonal controller array can be composed of an industrial routine PID controller, and at the moment, the dyadic coordination controller is called a PID type dyadic coordination controller. The dyadic coordination controller has the advantages of simple structure, easy realization and maintenance and good theoretical foundation. The dyadic coordination controller employing an optimized design carries out closed-loop control on power and pressure parameters of a steam turbine-boiler object, can obtain good AGC control quality, robustness performance and anti-interference performance, and improves the safety and economic benefits of a thermal power generator set.

Description

technical field [0001] The invention relates to the technical field of automatic control, and more specifically relates to a dyadic coordination controller of a steam turbine-boiler object of a thermal power unit, a command signal generation method for optimization and an optimization design method thereof. Background technique [0002] Under the condition of automatic generation control (AGC) of modern power grid, a new technical index is put forward for the steam turbine-boiler coordinated control system of the thermal power generation unit, which requires that the load of the unit must be able to respond to the large-scale frequent changes of the dispatching command as much as possible, and at the same time ensure the steam pressure at the inlet of the steam turbine. The change is within the allowable safety range, so that the design of the coordinated control system requires new theories and new methods. In addition, in order to facilitate application and maintenance, it ...

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Problems solved by technology

Scholars have studied the adaptive genetic optimization algorithm of the coordinated control system of the unit, and have achieved some success in the application of the general optimization algorithm of the coordinated controller, but there are still control system divergence problems in the optimization process.

In order to simplify the optimization objective function, a comprehensive performance index function is usually set. For the optimal design of the control system, IAE\ITAE (integral absolute value of error\time-weighted absolute value integral of error), ISE\ISTE (sum of squared error Integral \ time-weighted error square sum integral) and other comprehensive performance indicators, Xu Feng et al. conducted a comparative study on the application of these indicators to thermal objects, and concluded that ITAE indicators are more suitable for thermal processes, but the amplitude of ITAE indicators is more stable. Therefore, Zeng Zhenping proposed a new index considering the error change rate. When applying the comprehensive performance index to the optimal design of the multivariable control system, some special circumstances need to be considered, such as different The variables have different physical meanings, different numerical ranges, different control quality requirements, etc., which make the performance index values ​​of the same size of different variables become incomparable, making it difficult for many optimization design methods to obtain satisfactory solutions.

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