Five-element robust control system and its control method

Abstract

The present invention belongs to control science and engineering field. The control system includes three basic modules: five-element robust controller, detector and control object, and the five-element robust controller features the increased control increment calculating unit with embedded five-element control and calculation model. The key of the control method is running the five-element control and calculation mode, that is, in each sample time, five error values are extracted from the memory unit and used as the input of the model, and are used in the weighting and summation operation together with five parameters from the model so as to generate the control function increment. The present invention has excellent disturbance resisting capacity, strong tracking capacity and power saving, safe and reliable control characteristic.

Description

1. Technical field [0001] A five-element robust control system and its control method take a general industrial process as the controlled object and belong to the field of control science and engineering. 2. Background technology [0002] As the controlled object, the structure, parameters and environment of the industrial process have many uncertainties. The existence of these uncertainties puts forward higher requirements on the robustness of the controller. At present, in the industrial production process, the control device is still based on the PID controller. The reason why PID controllers are widely used in industrial production processes is that PID controllers are simple, reliable, easy to implement, and have strong robustness, and do not require precise mathematical models of the controlled objects. However, for diverse industrial processes, the control performance of PID controllers, including their robustness, still has many limitations. The controllers curren...

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Problems solved by technology

[0003] (1) Parameter setting problem: In the face of diverse, complex and uncertain industrial processes, it is necessary to finely set the controller parameters, and its installation and debugging are relatively difficult

[0004] (2) Robustness problem: When the controlled object or environment changes, or the controller parameter setting is inaccurate, the performance of the control system is significantly reduced

[0005] (3) Motion trajectory problem: The ability of the controlled variable to track the desired trajectory is weak, and there is generally a large overshoot in the transition process; the motion trajectory of the controlled variable and the controlled variable is not smooth, which is not conducive to energy saving and safe operation of the system

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