Industrial heating furnace system distributed control method based on dynamic matrix optimization

Abstract

The invention relates to an industrial heating furnace system distributed control method based on dynamic matrix optimization. According to the method, an object model is established by acquiring thestep response data of the object, a multivariable large-scale system is decomposed into a plurality of small-scale intelligent agent subsystems according to the related thought of distributed control,and meanwhile, the intelligent agent subsystems transmit and communicate with one another. A new control performance index is reconstructed by introducing a tracking error change rate, a corresponding controller of each subsystem is constructed according to a Nash optimal thought, an optimal control law of the whole system is further solved, the obtained instant control law acts on the corresponding intelligent agent subsystem, and a time domain is rolled to the next moment. According to the method, the model vector of the controlled object is established by collecting the real-time step response data, the controller based on distributed dynamic matrix control optimization is designed after the tracking error change rate is combined, and the robustness and the overall dynamic performanceof the system are enhanced while the overall performance of the system is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a distributed control method of an industrial heating furnace system with dynamic matrix optimization. Background technique [0002] With the development of computer network technology, centralized control can no longer meet all the requirements of complex process industries, and distributed control structure is occupying an increasing proportion. For complex and high-dimensional large-scale systems, distributed dynamic matrix control (DDMC) is a typical representative of distributed control structure. Processes may not meet relevant standards. However, the rate of change of tracking error, an important index, is often neglected when designing the controller, which is usually related to the stability and robustness of the entire control system. If the rate of change of tracking error can be introduced into the DDMC algorithm, the control performance of the system will be furthe...

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