Aggregation predicted control system based on model predicted control and control method thereof

A technology of predictive control and control method, which is applied in general control system, control/regulation system, adaptive control, etc., and can solve problems such as the reduction of degrees of freedom in optimization problems and the inability to guarantee the quality of system control.

Inactive Publication Date: 2010-12-29
SHANGHAI JIAO TONG UNIV
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  • Abstract
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Problems solved by technology

Although the predictive control system can effectively reduce its online calculation amount through assembly, the degree of freedom o

Method used

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  • Aggregation predicted control system based on model predicted control and control method thereof
  • Aggregation predicted control system based on model predicted control and control method thereof
  • Aggregation predicted control system based on model predicted control and control method thereof

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Embodiment Construction

[0038] The embodiments of the present invention are described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the protection scope of the present invention is not limited to the following the described embodiment.

[0039] like figure 1 As shown, this embodiment relates to a build-up predictive control system, including: an input mapping module, a traditional predictive control module, a sensor and an inverse mapping module, wherein: the input mapping module is connected with the traditional predictive control module and performs the input control sequence of the predictive control Linear mapping, the traditional predictive control module is connected to the control object to receive the state value of the system object, the sensor is connected to the control object and the outpu...

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Abstract

The invention relates to an aggregation predicted control system based on model predicted control and a control method thereof in the technical field of industrial process control. The aggregation predicted control system comprises an input mapping module, a traditional predicted control module, a sensor and an inverse mapping module, wherein the input mapping module is connected with the traditional predicted control module and used for carrying out linear mapping on an input control sequence of the predicted control, the traditional predicted control module is connected with a control object so as to receive a system object state value, the sensor and the control object are connected, the output end of the sensor and the input end of the traditional predicted control module are connected so as to transmit a detection signal, the output end of the traditional predicted control module is connected to the inverse mapping module, and the output end of the inverse mapping module is connected with the control object in order to output a control strategy. The method optimizes the control performance of the aggregation predicted control system, ensures the control performance of the controller while reducing the online calculation amount of the predicted controller and improving real time thereof, and has very strong practicability and application value.

Description

technical field [0001] The present invention relates to a control system and a control method thereof in the technical field of industrial process control, in particular to an assembly predictive control system based on model predictive control and a control method thereof. Background technique [0002] Model predictive control is an advanced control method developed since the 1970s. Because of its low requirements on the model, good robustness, and the ability to handle constraints more conveniently, it is favored by the industry, especially in process control objects such as chemical industry and oil refining. However, the model predictive control system is a controller that adopts online rolling optimization, that is, the controller needs to take the current state of the system as the initial state at each moment, and solve an optimization problem in the finite time domain online to obtain the current control quantity of the system. Therefore, the real-time performance o...

Claims

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Application Information

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IPC IPC(8): G05B13/02
Inventor 李德伟席裕庚姜舒
Owner SHANGHAI JIAO TONG UNIV
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