Hybrid model industrial process constraint robust predictive control comprehensive optimization design method
An industrial process and predictive control technology, applied in the field of automation, can solve the problems that traditional control theory cannot meet this requirement, and achieve the effect of good control performance and stable system operation.
Pending Publication Date: 2021-07-13
SHENYANG POLYTECHNIC UNIV
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Problems solved by technology
[0003] The current traditional control theory is difficult to meet this requirement
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[0021] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0022] The invention provides a technical solution: a hybrid model industrial process constraint robust predictive control comprehensive optimization design method, including
[0023] Step 1: Aiming at multiple single-input and single-output input-output models given by the industrial process, construct a new model consisting of state variables, output errors, and new state variables related to output errors whose states can be adjusted individually. state spa...
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The invention discloses a hybrid model industrial process constraint robust predictive control comprehensive optimization design method, which comprises the following steps of: 1, aiming at a plurality of single-input and single-output input and output models given by an industrial process, constructing a novel state space model which consists of a state variable, an output error and a new state variable related to the output error, wherein the states of the novel state space model can be respectively adjusted; and 2, designing a novel controller. According to the invention, a novel state space model composed of a state variable, an output error and a new state variable related to the output error is constructed, and a control law designed based on the model can provide more degrees of freedom due to the state of the control law, so that the considered system still has better control performance even under the common influence of faults and interference; and according to the method provided by the invention, the system operation is more stable and the system output is closer to a set value regardless of the special case control of a single model or the control of multiple models with general significance.
Description
technical field [0001] The invention relates to the technical field of automation, in particular to a hybrid model-based comprehensive optimization design of a novel constrained robust model predictive control for industrial processes. Background technique [0002] With the increasingly stringent requirements for product quality and operational safety, industrial process control is facing severe challenges. Uncertainties and disturbances also put forward stricter requirements for improved control methods. In addition to the need to design controllers Consider improving product quality, and at the same time, consider constantly tapping the potential from limited resources to achieve energy saving and consumption reduction, maximize economic benefits, reduce pollution, ensure the safety of the production process, and many other factors. Therefore, the problem of controller design becomes a problem of various forms of control objectives and control constraints. [0003] The cu...
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Login to View More IPC IPC(8): G05B19/418
CPCG05B19/41885G05B2219/32339Y02P90/02
Inventor 李恺如赵东辉白殿春张日东
Owner SHENYANG POLYTECHNIC UNIV