Parallel control method for industrial process large lag inertia system based on parameter optimization
An industrial process and inertial system technology, which is applied in the field of parallel control of industrial process large-lag inertial systems based on parameter optimization, can solve problems such as control performance deterioration, and achieve the effect of improving performance and improving control quality.
Inactive Publication Date: 2019-08-27
HANGZHOU E ENERGY ELECTRIC POWER TECH +2
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But when the object model changes, if the internal prediction model does not change, the control performance will be significantly worse. At this time, it is necessary to use the method of genetic optimization to change the adjustment coefficient to improve the control performance
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[0021] This embodiment provides a parameter optimization-based parallel control method for large-delay inertial systems in industrial processes, which involves two systems: a manual simulation system and an actual control system. A corresponding closed-loop control loop is built in the system and a genetic optimization program is set.
[0022] The parallel control method of the present invention is as follows: firstly, the closed-loop identification algorithm based on deep learning is used to perform closed-loop modeling on the controlled object; secondly, the controlled object model is placed in the artificial simulation system, the control performance is evaluated, and the genetic algorithm is used for optimization The best adjustment coefficient; finally, put the optimization parameters of the artificial simulation system into the actual control system to realize parameter optimization interaction.
[0023] according to figure 1 , the actual control system adopts a predict...
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The invention discloses a parallel control method for an industrial process large lag inertia system based on parameter optimization. The parallel control method of the present invention relates to amanual simulation system and an actual control system, forecasting function closed-loop control based on a single adjustment coefficient is adopted by the actual control system, and a corresponding closed-loop control loop is arranged and a genetic optimization program is set in the manual simulation system. The method comprises the following steps: firstly, using a closed-loop identification algorithm based on deep learning to perform closed-loop modeling on a controlled object; secondly, placing the controlled object model in the manual simulation system to evaluate the control performance,and adopting a genetic algorithm to optimize an optimal adjustment coefficient; and finally, placing optimization parameters of the manual simulation system into the actual control system to achieve parameter optimization interaction. According to the parallel control method for industrial process large lag inertia system based on parameter optimization in the invention, parameter optimization ofthe actual control system is realized through the interaction of two systems, and the control quality of the actual control system is improved.
Description
technical field [0001] The invention belongs to the field of industrial process control systems, in particular to a parameter optimization-based parallel control method for large-delay inertial systems in industrial processes. Background technique [0002] There is often a large-lag inertial system in industrial processes. In order to improve the control performance of this large-lag inertial system, model predictive control is often used, which requires a higher model of the controlled object. Changes in the model often lead to poor control effects, and timely control is required. Tuning model predictive control parameters. [0003] Chinese patent application No. 201810184793.5 discloses a single adjustment coefficient predictive function control parameter tuning method based on intelligent optimization, which includes the following steps: the first-order inertial link in the industrial process control system plus the pure delay object is used as the predictive control mode...
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IPC IPC(8): G05B13/04
CPCG05B13/027G05B13/042
Inventor 李泉尹峰孙坚栋
Owner HANGZHOU E ENERGY ELECTRIC POWER TECH