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Fuzzy control method for zinc smelting and roasting process based on trend event driving

An event-driven, fuzzy control technology, applied in adaptive control, general control systems, control/regulation systems, etc., to solve problems such as erroneous evaluation results, degradation of fuzzy controller performance, and inaccuracy

Active Publication Date: 2019-11-19
CENT SOUTH UNIV
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Problems solved by technology

However, due to the dynamic characteristics of the roasting process and the constraints of the on-site environment, the general control period in the industrial site is selected to be more than ten minutes, which is much longer than the sampling period once per minute. Due to changes in working conditions and various disturbances in the roasting process, inaccurate or erroneous evaluation results may be obtained, resulting in a decline in the performance of the fuzzy controller; if the control cycle is shortened, due to the large It takes a while to reflect the temperature change after the feed amount is adjusted, so frequent adjustments to the feed amount will lead to instability of the roasting system, and the performance of the fuzzy controller will also decline
Therefore, there is a need for a fuzzy control method that can solve the problem of difficult evaluation of working conditions and degradation of fuzzy controller control performance due to the dynamic characteristics of the roasting process and site environmental constraints.

Method used

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  • Fuzzy control method for zinc smelting and roasting process based on trend event driving
  • Fuzzy control method for zinc smelting and roasting process based on trend event driving
  • Fuzzy control method for zinc smelting and roasting process based on trend event driving

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Effect test

Embodiment 1

[0133] In order to prove the effectiveness of this method, under the same initial conditions, the temperature setting value of the roasting process is set to 910°C, and the performance of the proposed fuzzy control method and conventional fuzzy control method is compared. The conventional fuzzy control method has the same membership function and fuzzy inference rules as the proposed method, but the difference is that the conventional method uses the rate of change of temperature deviation and has no corresponding event-driven strategy.

[0134] The control effect is compared to Figure 5 As shown, the overshoot of the fuzzy control method proposed by this method is 0.2706, and the adjustment time is 23 minutes, while the overshoot of the conventional fuzzy control method is 0.4829, and the adjustment time is 81 minutes. The fuzzy control method proposed by this method Compared with the conventional fuzzy control method, this method has a smaller overshoot and adjustment time. ...

Embodiment 2

[0136] In order to prove that the proposed method can effectively deal with the change of working conditions, when the set value is 910°C and both controllers reach a steady state, a step signal with an amplitude of 10°C is added to the system to simulate the working conditions change.

[0137] control effects such as Figure 7 As shown, the overshoot of the fuzzy control method proposed by this method is 1.0573, and the adjustment time is 57 minutes, while the overshoot of the conventional fuzzy control method is 1.0147, and the adjustment time is 207 minutes. The fuzzy control method proposed by this method Compared with the conventional fuzzy control method, it has a shorter adjustment time and no shock in the adjustment process. Since the proposed method has a smaller steady-state deviation, the overshoot of the system will be larger after the step signal is added. The specific comparison of the control performance after the working condition changes is as follows: Fig...

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Abstract

The invention provides a fuzzy control method for a zinc smelting and roasting process based on trend event driving. By setting a temperature set value and a control period N, and according to a real-time sampling temperature value of a sensor, a temperature deviation is calculated and a temperature trend is extracted, when a working condition changes or a preset control period is reached, fuzzy control is performed in time according to the temperature trend and the temperature deviation, and the problem of difficulty in assessing the working condition and decrease of control performance of afuzzy controller caused by dynamic characteristics of a roasting process and on-site environment constraints is improved.

Description

technical field [0001] The invention relates to the technical field of fuzzy control, in particular to a trend event-driven fuzzy control method for zinc smelting and roasting process. Background technique [0002] The roasting process is the first process in the zinc smelting process. In this process, the mixed zinc concentrate is sent to the roaster for full combustion, and zinc calcine, sulfur dioxide, smoke and other products are produced. Zinc calcine is the main raw material in the zinc hydrometallurgy process, and its product quality is crucial to the production of downstream processes. The main purpose of the roasting process is to ensure the product quality of the zinc calcine, that is, to increase the soluble zinc rate of the zinc calcine and reduce the content of insoluble impurities. Since the quality of zinc calcine mainly depends on the composition of the mixed zinc concentrate and the temperature of the roasting process, the most important problem in the roas...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 李勇刚冯振湘刘卫平孙备阳春华朱红求
Owner CENT SOUTH UNIV
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