CN202643399U - Desalted water ammonifying multi-input self-learning control system - Google Patents
Desalted water ammonifying multi-input self-learning control system Download PDFInfo
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- CN202643399U CN202643399U CN 201220211954 CN201220211954U CN202643399U CN 202643399 U CN202643399 U CN 202643399U CN 201220211954 CN201220211954 CN 201220211954 CN 201220211954 U CN201220211954 U CN 201220211954U CN 202643399 U CN202643399 U CN 202643399U
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Abstract
The utility model discloses a comprising a desalted water ammonifying multi-input self-learning control system comprising a desalted water main pipe pH (potential of Hydrogen) value sensor, a desalted water tank pH value sensor, a desalted water flow sensor, a self-learning controller and a variable-frequency speed regulator, wherein the self-learning controller is connected with the desalted water main pipe pH value sensor, the desalted water tank pH value sensor, the desalted water flow sensor and the variable-frequency speed regulator, and the variable-frequency speed regulator is connected to a liquid ammonia metering pump electric control valve. Through using the way above, the system disclosed by the utility model has the advantages that the pH value of desalted water can be accurately and rapidly controlled; a desalted water tank pH value and a desalted water flow value are introduced into the controller, so that the relatively comprehensive input variable is obtained by the controller and the foundation of realizing the accurate and rapid control is provided; and a PID (Proportion Integration Differentiation) position initial value vector and a control input increment coefficient vector are introduced into the controller, so that the accurate and rapid control is realized.
Description
Technical field
The utility model relates to a kind of guidance system, particularly relates to a kind of de-mineralized water ammonification and inputs automatic learning control system more.
Background technology
System of Feedwater in Power Plant is crucial in a power plant chemistry water treatment link, generally guarantee to feed water the pH value stabilization certain limit (being generally 8.5 ~ 9.2) by ammonification in de-mineralized water, the pH value exceeds allowed band, can directly affect stove water quality, so that cause water circulation system and carbonated drink equipment corrosion, economic loss even industrial accident.
In the actual production, adopt at present manually ammonification or conventional Automatic Ammonia adding System.Manually ammonification precision is low, poor continuity, cause oiler feed pH value undesirable, fluctuate even exceed allowed band.And ammonia is volatile working medium, and unavoidable a small amount of leakage of Ammonia adding System is unfavorable for that operator are healthy; Employing is based on the ammonification automatic control system of conventional controller and frequency transformer, this system is generally take desalination jellyfish pipe pH value as measured, with control frequency transformers such as traditional PI D-algorithm or FUZZY ALGORITHMS FOR CONTROL, in this system, owing to only adopt desalination jellyfish pipe pH value to input as controller, lack feed-forward information and de-mineralized water flow information etc., system's rapidity and accuracy are all not ideal enough.
Summary of the invention
The technical problem that the utility model mainly solves provides a kind of de-mineralized water ammonification and inputs automatic learning control system more, can realize the accurately fast control of de-mineralized water pH value; Sweet-water tank pH value, de-mineralized water flux values are introduced controller, thereby make controller obtain more fully input variable, provide the basis for realizing accurately fast control; Introduce PID position initial value vector sum control output increment coefficient vector in the controller, thereby realize accurately fast control.
For solving the problems of the technologies described above, the technical scheme that the utility model adopts is: provide a kind of de-mineralized water ammonification to input automatic learning control system more, this de-mineralized water ammonification is inputted automatic learning control system more and is comprised desalination jellyfish pipe pH value sensor, sweet-water tank pH value sensor, the de-mineralized water flow sensor, Self-learning Controller and variable-frequence governor, described Self-learning Controller is connected with desalination jellyfish pipe pH value sensor, sweet-water tank pH value sensor and de-mineralized water flow sensor, Self-learning Controller also is provided with the given input of pH value, Self-learning Controller also is connected with variable-frequence governor, and the described variable-frequence governor that also comprises is connected to metering of liquid ammonia pump electrically-controlled valve.
Preferably, described Self-learning Controller is provided with PID position initial value vector module and the control output increment coefficient vector module of calculating output valve.
Preferably, described metering of liquid ammonia pump electrically-controlled valve is installed on the drain pipe of liquefied ammonia case, and drain pipe is connected to before the desalination jellyfish pipe pH value sensor of desalination jellyfish pipe.
Preferably, described sweet-water tank pH value sensor and de-mineralized water flow sensor are installed on the main water outlet pipe at sweet-water tank place.
The beneficial effects of the utility model are: automatic learning control system is inputted in the ammonification of the utility model de-mineralized water more, can realize the accurately fast control of de-mineralized water pH value; Sweet-water tank pH value de-mineralized water flux values is introduced controller, thereby make controller obtain more fully input variable, provide the basis for realizing accurately fast control; Introduce PID position initial value vector sum control output increment coefficient vector in the controller, thereby realize accurately fast control.
Description of drawings
Fig. 1 is the structural representation that a preferred embodiment of automatic learning control system is inputted in the ammonification of the utility model de-mineralized water more;
The mark of each parts is as follows in the accompanying drawing:
1, desalination jellyfish pipe pH value sensor; 2, sweet-water tank pH value sensor; 3, de-mineralized water flow sensor; 4, Self-learning Controller; 5, variable-frequence governor; 6, metering of liquid ammonia pump electrically-controlled valve; 41, PID position initial value vector module; 42, control output increment coefficient vector module; 43, the given input of pH value; 61, liquefied ammonia case; 62, sweet-water tank.
Embodiment
Preferred embodiment is described in detail to the utility model below in conjunction with accompanying drawing, thereby so that the advantage of utility model and feature can be easier to be it will be appreciated by those skilled in the art that protection domain of the present utility model is made more explicit defining.
See also Fig. 1, the utility model embodiment comprises:
Automatic learning control system is inputted in the de-mineralized water ammonification more, this de-mineralized water ammonification is inputted automatic learning control system more and is comprised desalination jellyfish pipe pH value sensor 1, sweet-water tank pH value sensor 2, de-mineralized water flow sensor 3, Self-learning Controller 4 and variable-frequence governor 5, described Self-learning Controller 4 is connected with desalination jellyfish pipe pH value sensor 1, sweet-water tank pH value sensor 2 and de-mineralized water flow sensor 3, Self-learning Controller 4 also is provided with the given input 43 of pH value, Self-learning Controller 4 also is connected with variable-frequence governor 5, and the described variable-frequence governor 5 that also comprises is connected to metering of liquid ammonia pump electrically-controlled valve 6; Described Self-learning Controller 4 is provided with PID position initial value vector module 41 and the control output increment coefficient vector module 42 of calculating output valve; Described metering of liquid ammonia pump electrically-controlled valve 6 is installed on the drain pipe of liquefied ammonia case 61, and drain pipe is connected to before the desalination jellyfish pipe pH value sensor 1 of desalination jellyfish pipe; Described sweet-water tank pH value sensor 2 and de-mineralized water flow sensor 3 are installed on the main water outlet pipe at sweet-water tank 62 places.
The mode of operation that automatic learning control system is inputted in the ammonification of the utility model de-mineralized water more is: native system is take many inputs Self-learning Controller as core, and input signal comprises desalination jellyfish pipe pH value, sweet-water tank pH value and desalination jellyfish pipe flux values.Self-learning Controller carries out computing to input signal, as shown in Figure 2.Self-learning Controller is take desalination jellyfish pipe pH value as feedback quantity, take sweet-water tank pH value, sweet-water tank flow as the feedforward amount.PH value set-point and desalination jellyfish pipe pH value are carried out the PID computing after carrying out the algebraically summation; Control output increment coefficient is multiply by in PID operation result and the summation of feedforward amount operation result algebraically again, the product that obtains and the summation of PID position initial value algebraically, last controlled device output uo.Self-learning Controller computing Output rusults acts on motor-driven control valve, and control adds desalination jellyfish pipe liquefied ammonia flow.
In initial launch, manually boot Ammonia adding System, pH value set-point 10 groups of uniform designs between 8.5～9.2, manual adjusting controller output makes system stability.Simultaneously, controller records corresponding 10 group controller output valves as PID position initial value vector
, calculating is asked for
,
Be defined as control output increment coefficient vector, wherein
In system's normal course of operation, controller is constantly updated
With
Numerical value, reach the self study purpose.
Automatic learning control system is inputted in the ammonification of the utility model de-mineralized water more, can realize the accurately fast control of de-mineralized water pH value; Sweet-water tank pH value, de-mineralized water flux values are introduced controller, thereby make controller obtain more fully input variable, provide the basis for realizing accurately fast control; Introduce PID position initial value vector sum control output increment coefficient vector in the controller, thereby realize accurately fast control.
The above only is embodiment of the present utility model; be not so limit claim of the present utility model; every equivalent structure or equivalent flow process conversion that utilizes the utility model specification sheets and accompanying drawing content to do; or directly or indirectly be used in other relevant technical fields, all in like manner be included in the scope of patent protection of the present utility model.
Claims (4)
1. automatic learning control system is inputted in a de-mineralized water ammonification more, it is characterized in that: this de-mineralized water ammonification is inputted automatic learning control system more and is comprised desalination jellyfish pipe pH value sensor, sweet-water tank pH value sensor, the de-mineralized water flow sensor, Self-learning Controller and variable-frequence governor, described Self-learning Controller is connected with desalination jellyfish pipe pH value sensor, sweet-water tank pH value sensor and de-mineralized water flow sensor, Self-learning Controller also is provided with the given input of pH value, Self-learning Controller also is connected with variable-frequence governor, and the described variable-frequence governor that also comprises is connected to metering of liquid ammonia pump electrically-controlled valve.
2. automatic learning control system is inputted in de-mineralized water ammonification according to claim 1 more, it is characterized in that: described Self-learning Controller is provided with PID position initial value vector module and the control output increment coefficient vector module of calculating output valve.
3. automatic learning control system is inputted in de-mineralized water ammonification according to claim 1 more, it is characterized in that: described metering of liquid ammonia pump electrically-controlled valve is installed on the drain pipe of liquefied ammonia case, and drain pipe is connected to before the desalination jellyfish pipe pH value sensor of desalination jellyfish pipe.
4. automatic learning control system is inputted in de-mineralized water ammonification according to claim 1 more, it is characterized in that: described sweet-water tank pH value sensor and de-mineralized water flow sensor are installed on the main water outlet pipe at sweet-water tank place.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220211954 CN202643399U (en) | 2012-05-14 | 2012-05-14 | Desalted water ammonifying multi-input self-learning control system |
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| Application Number | Priority Date | Filing Date | Title |
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| CN 201220211954 CN202643399U (en) | 2012-05-14 | 2012-05-14 | Desalted water ammonifying multi-input self-learning control system |
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| CN202643399U true CN202643399U (en) | 2013-01-02 |
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| CN 201220211954 Expired - Fee Related CN202643399U (en) | 2012-05-14 | 2012-05-14 | Desalted water ammonifying multi-input self-learning control system |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102786135A (en) * | 2012-05-14 | 2012-11-21 | 苏州市职业大学 | Self-learning control system with de-mineralized water, ammonification and multiple inputs |
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2012
- 2012-05-14 CN CN 201220211954 patent/CN202643399U/en not_active Expired - Fee Related
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102786135A (en) * | 2012-05-14 | 2012-11-21 | 苏州市职业大学 | Self-learning control system with de-mineralized water, ammonification and multiple inputs |
| CN102786135B (en) * | 2012-05-14 | 2014-03-19 | 苏州市职业大学 | Self-learning control system with de-mineralized water, ammonification and multiple inputs |
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| Date | Code | Title | Description |
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| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| C17 | Cessation of patent right | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130102 Termination date: 20140514 |