A feeding control method and system for a synthesis reactor

Abstract

This invention belongs to the field of industrial automation control technology, specifically relating to a feeding control method and system for a synthesis reactor. The method includes: real-time acquisition of the reactor's internal temperature; calculation of instantaneous deviation and deviation change rate; deriving a proportional scale and nominal rate based on the base gain and the device's output range; obtaining a nonlinear proportional gain by combining the instantaneous deviation and the proportional scale; determining the phase relationship by combining the instantaneous deviation, deviation change rate, and nominal rate to obtain the integral weight; obtaining a dynamic differential gain by combining the deviation change rate and nominal rate; and combining the three adaptive gains to calculate the proportional, integral, and differential terms respectively, and adding them together to obtain the final control output. This invention solves the temperature overshoot and oscillation problems caused by fixed gain and integral lag in traditional PID control.

Description

Technical Field

[0001] This invention relates to the field of industrial automation control technology. More specifically, this invention relates to a feeding control method and system for a synthesis reactor. Background Technology

[0002] In the production of fine chemicals such as imidazole, the synthesis reactor is the core reaction equipment. These chemical reactions are usually accompanied by significant thermal effects. Therefore, precise control of the reactor temperature is crucial to ensuring process safety and product quality. In actual processes, one of the most commonly used temperature control methods is to adjust the feed rate of the reactants: by controlling the feed pump or feed valve, the speed at which the material enters the reactor is changed, thereby indirectly controlling the intensity of the reaction and the reactor temperature.

[0003] Currently, the vast majority of algorithms used in industry to perform this kind of feeding control task are PID control. The PID controller monitors the temperature inside the vessel in real time and compares it with the target temperature set by the process to obtain an instantaneous deviation. Then, the controller calculates an output signal based on the combination of the proportional, integral and derivative terms of this deviation. This signal directly instructs the feeding actuator to perform the action.

[0004] However, when dealing with complex systems like synthesis reactors, which exhibit high thermal inertia and reaction lag, this PID-based feed control strategy reveals serious inherent flaws. The physical characteristics of the synthesis reactor dictate that even changes in the feed rate require a considerable amount of time for the internal temperature to respond. The core of this flaw lies in the combination of the integral term in the PID algorithm and the feed behavior. The integral term is designed to accumulate historical deviations to eliminate steady-state errors. However, as the system approaches the target setpoint due to inertia, instantaneous deviations still exist, causing the integral term to continuously accumulate. This accumulation is reflected in the control output as a commanded feed rate that remains consistently high.

[0005] When the temperature finally reaches the set point, the integral accumulation value just reaches its peak. The controller is still issuing an overfeed command. This overfeed caused by algorithm lag will trigger a violent exothermic reaction, causing the temperature inside the vessel to inevitably exceed the set point, resulting in severe temperature overshoot. Subsequently, the controller adjusts in the opposite direction, which will cause repeated temperature oscillations.

[0006] In addition, fixed proportional gain and derivative gain also make the feed control effect rigid: fixed proportional gain makes it difficult to balance the contradiction between the need for aggressive feeding to quickly raise the temperature when the deviation is large and the need for stable feeding to maintain stability when the deviation is small; while fixed derivative gain will amplify temperature noise when the system is stable, causing the feed valve or feed pump to vibrate unnecessarily and frequently.

[0007] Therefore, existing PID-based feed control methods, due to their fixed gain and hysteresis integral accumulation characteristics, cannot adapt to the dynamic inertia of the synthesis vessel, which can easily lead to overfeeding, and thus cause temperature overshoot and oscillation. Summary of the Invention

[0008] To address the technical problem that existing PID-based feed control methods, due to their fixed gain and integral lag, are prone to overfeeding when applied to high-inertia synthesis reactors, leading to temperature overshoot and oscillation, this invention provides solutions in the following aspects.

[0009] In a first aspect, the present invention provides a feeding control method for a synthesis reactor, comprising: real-time acquisition of the reactor internal temperature; calculation of the instantaneous deviation between the reactor internal temperature and the target temperature, and the rate of change of the temperature deviation; obtaining an adaptive proportional gain of the controller based on the instantaneous deviation, a basic proportional gain, and a proportional scale derived from the basic proportional gain and the device output range; determining the phase relationship between the instantaneous deviation and the rate of change of the deviation based on the instantaneous deviation, the rate of change of the deviation, the basic gain, and the nominal rate derived from the basic gain and the device output range, and obtaining the integral weight of the controller; obtaining the dynamic differential gain of the controller based on the rate of change of the deviation, the basic differential gain, and the nominal rate; and calculating the proportional term, integral term, and differential term respectively by combining the adaptive proportional gain, the integral weight, the dynamic differential gain, and the basic integral gain of the controller, and adding the proportional term, integral term, and differential term to obtain the control output of the controller, thereby completing the feeding control method for the synthesis reactor.

[0010] This invention provides an adaptive control method for a synthesis reactor. By calculating the instantaneous deviation and the rate of change of deviation in real time, and dynamically adjusting the gain of the proportional, integral, and derivative terms based on this, the controller can comprehensively consider the current deviation, the rate of change, and the phase relationship. This strategy of simultaneously adaptively adjusting the P, I, and D terms enables it to actively adapt to the high thermal inertia of the synthesis reactor, provide damping when the system changes rapidly, and suppress integral accumulation when approaching the set point. Thus, while ensuring the response speed, it effectively suppresses temperature overshoot and oscillation, and improves the overall stability of the control system.

[0011] Preferably, the adaptive proportional gain Satisfying the expression: ;in, yes Adaptive proportional gain at any given time; It is the base proportional gain; It is an instantaneous deviation; It is a scale; It is the absolute value symbol.

[0012] This invention constructs a nonlinear proportional gain and uses a proportional scale as a reference to make the proportional gain adaptively change with the magnitude of the instantaneous deviation. When the instantaneous deviation is large, the gain automatically increases to achieve a fast response and shorten the auxiliary time. When the instantaneous deviation is small, the gain automatically recovers to the base value to ensure stable control. This adjustment method solves the problem of traditional fixed gain in balancing response speed and control stability.

[0013] Preferably, determining the phase relationship between the instantaneous deviation and the rate of change of deviation, and obtaining the integral weight of the controller, includes: when the product of the instantaneous deviation and the rate of change of deviation is greater than or equal to 0, the integral weight is set to 1; when the product of the instantaneous deviation and the rate of change of deviation is less than 0, the integral weight is attenuated according to the ratio of the absolute value of the rate of change of deviation to the nominal rate.

[0014] Preferably, the integral weights satisfy the expression: ;in, yes Integral weights at each time step; It is an instantaneous deviation; It is the rate of change of deviation; It is the nominal rate; It is the absolute value symbol.

[0015] This invention constructs an integral weight and uses the phase relationship between instantaneous deviation and the rate of change of deviation to predict overshoot risk. When the system moves rapidly toward the set point due to inertia, i.e., when the overshoot risk is high, this invention uses the nominal rate as a criterion to make the integral weight decay according to the magnitude of the rate of change of deviation. This active suppression of integral accumulation avoids integral overshoot caused by high thermal inertia, thereby improving the temperature overshoot problem of the system.

[0016] Preferably, the dynamic differential gain satisfies the expression: ;in, yes The dynamic differential gain at time step; It is the fundamental differential gain; It is the rate of change of deviation; It is the nominal rate; It is the absolute value symbol.

[0017] This invention constructs a dynamic differential gain, using the nominal rate as a reference, so that the differential gain changes non-linearly with the magnitude of the deviation rate. When the system is stable and the deviation rate is small, the controller uses the basic differential gain, which reduces the sensitivity to measurement noise and avoids the jitter of the feeding actuator. When the system experiences severe oscillations and the deviation rate is large, the differential gain automatically and smoothly increases, providing a stronger damping effect and enabling the system to quickly recover stability.

[0018] Preferably, the calculation of the proportional term, integral term, and differential term respectively includes: proportional term Integral term Differential term ;in, , , They are Proportional output, integral output, and derivative output at any given time; It is an adaptive proportional gain; It is the integral weight; It is the dynamic differential gain; It is an instantaneous deviation; It is the rate of change of deviation; It is the basic integral gain; It is the accumulated value of the points from the previous period; It is the control cycle.

[0019] This invention integrates three adaptive strategies—nonlinear proportional gain, integral weight, and dynamic differential gain—by ​​calculating the proportional, integral, and differential terms separately and then summing them. This combination ensures that the final control output signal includes both the rapid response of the proportional action and the integral regulation that suppresses overshoot and the differential damping that suppresses oscillation. As a result, the three parts of the controller work in a coordinated and unified manner, acting together on the feeding actuator to achieve a smooth and efficient control effect.

[0020] Preferably, the scale is obtained by dividing the device output range by the basic scale gain.

[0021] Preferably, the nominal rate satisfies the expression: ;in, It is the nominal rate; This refers to the output range of the device. It is the basic integral gain; It is the base proportional gain.

[0022] Preferably, the calculation of the instantaneous deviation between the temperature inside the vessel and the target temperature, and the rate of change of the temperature deviation, includes: obtaining the instantaneous deviation by subtracting the target temperature from the collected temperature inside the vessel; and extracting the derivative of the instantaneous deviation after processing it with a low-pass filter to estimate the rate of change of the temperature deviation.

[0023] Secondly, the present invention provides a feeding control system for a synthesis reactor, including a processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the above-mentioned feeding control method for a synthesis reactor is implemented.

[0024] By adopting the above technical solution, a computer program for the feeding control method of the synthesis reactor is generated and stored in a memory so that it can be loaded and executed by a processor. This allows for the creation of a terminal device based on the memory and processor, making it convenient to use.

[0025] The beneficial effects of this invention are as follows:

[0026] This invention constructs a nonlinear proportional gain, enabling the controller's proportional response strength to automatically adjust according to the magnitude of the instantaneous deviation. When the system is far from the setpoint, the controller uses a higher gain to achieve a rapid feeding response and shorten the heating time. When the system approaches the setpoint, it automatically reverts to a lower base gain to ensure control stability. This adaptive adjustment method solves the problem of traditional fixed gain in balancing response speed and control stability.

[0027] This invention constructs an integral weight and analyzes the phase relationship between instantaneous deviation and the rate of change of deviation in real time, thereby predicting the inertial motion trend of the system. When the controller determines that the system is rapidly approaching the set point due to high inertia, i.e., there is a risk of overshoot, the weight will actively decay the cumulative rate of the integral term according to the nominal rate. This early suppression of the integral action effectively avoids integral overshoot and excessive feed caused by thermal inertia, and improves the temperature overshoot and oscillation problems of the synthesis reactor.

[0028] This invention constructs a dynamic differential gain that maintains a base value when the system is stable to reduce sensitivity to sensor noise and avoid frequent jitter of the feeding actuator. When the system experiences severe oscillations, the gain is automatically increased to provide necessary damping for rapid recovery of stability. This method also correlates dynamic benchmarks such as the scale and nominal rate with the base gain and equipment parameters, improving the controller's adaptability and robustness to different operating conditions. Attached Figure Description

[0029] Figure 1 This is a flowchart illustrating a feeding control method for a synthesis reactor according to the present invention;

[0030] Figure 2 This is a schematic diagram of temperature and control output under the control of this invention. Detailed Implementation

[0031] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0032] The specific embodiments of the present invention will now be described in detail with reference to the accompanying drawings.

[0033] This invention discloses a feeding control method for a synthesis reactor, referring to... Figure 1 This includes steps S1-S5:

[0034] S1. Real-time acquisition of the temperature inside the vessel, calculation of the instantaneous deviation between the temperature inside the vessel and the target temperature, and the rate of change of the temperature deviation.

[0035] It should be noted that, in order to achieve adaptive feeding control based on system dynamics, the controller of this invention needs to sense the current state and future trend of the synthesis vessel in real time. This invention needs to first obtain the temperature inside the vessel as a feedback variable for controlling the feeding, and calculate two core state variables, namely the instantaneous deviation representing the degree of deviation from the target, and the rate of change of deviation representing the current speed and direction of the system. These two values ​​are the basis for all subsequent adaptive feeding calculations.

[0036] Specifically, taking the temperature control of the imidazole synthesis reactor as an example, the temperature inside the reactor is acquired at high frequency through a DCS system. ; Calculate the instantaneous deviation between the temperature inside the vessel and the target temperature. That is, the target temperature set by the process. With the present Temperature inside the vessel at any given time The difference; to avoid the Differentiating the measurement noise causes drastic signal fluctuations. This invention uses a low-pass filter to address this. After processing, its derivative is extracted to estimate the rate of change of temperature deviation. ; This reflects the rate and direction of temperature change inside the vessel, for example, This means the temperature inside the vessel It is rising.

[0037] It should be noted that the data acquisition cycle of the DCS system... The empirical value is 0.1 seconds to 1 second; if the data collection is too fast, that is... A time of less than 0.1 seconds will increase the load on the DCS system and easily introduce high-frequency noise; if the acquisition is too slow, that is... If the delay exceeds 1 second, the critical dynamics of the reactor cannot be captured, resulting in control lag; in the embodiments of the present invention Preferably 0.5 seconds; number of window sampling points used for linear regression The empirical value range is 3 to 10; if If the value is too small, for example, less than 3, then linear regression is easily affected by single-point noise, leading to... The estimate is inaccurate; if If the value is too large, for example, greater than 10, it will introduce excessive smoothing, leading to... The response is delayed and cannot reflect instantaneous changes; in the embodiments of the present invention The preferred value is 5, which can achieve a good balance between noise suppression and response sensitivity.

[0038] S2. Obtain the adaptive proportional gain of the controller based on the instantaneous deviation, the basic proportional gain, and the proportional scale derived from the basic proportional gain and the device output range.

[0039] It should be noted that traditional PID control uses a fixed gain for the proportional feed term. This fixed gain is difficult to balance the two stages of reactor operation: during the start-up heating stage, the system needs a fast feed response; however, during the holding stage near the setpoint, the system needs stable feed control. This invention aims to obtain a non-linear proportional gain. This allows the system to automatically adjust the proportional response intensity of the feed; the present invention utilizes the PID's own base gain and maximum feed capacity to construct this nonlinear relationship.

[0040] Specifically, define a scale. It represents the error value that enables the basic P term to produce a full-scale output, and this value is determined by the control output. Output range Divide by the PID's base gain get, It is determined by the physical equipment; for example, if the valve opening range is 0% to 100%, then... If we take 100, or the feed pump frequency range is 0Hz to 50Hz, then... Choose 50; once this value is determined, it will remain fixed. It is an inherent parameter determined by basic calibration and device characteristics; subsequently, adaptive proportional gain. Calculate using the following formula:

[0041]

[0042] In the formula, It is a moment; yes Adaptive proportional gain at any given time; yes Instantaneous deviation at a given moment; It is the basic proportional gain of the PID controller; It is a scale; It is the absolute value symbol.

[0043] In the formula, This term is a gain factor with a value range between [0,1); when the system approaches the setpoint, i.e. much smaller ,at this time As the gain factor approaches 0, the entire formula becomes... Approaching ,Right now At this time, the controller uses the base gain. This gain is typically tuned to ensure stability near the setpoint, resulting in smooth control action and avoiding oscillations; when the system moves away from the setpoint, i.e. Large, for example, close to or greater than , When the term dominates the denominator, the gain factor approaches 1, and the entire formula becomes Approaching ,Right now At this point, the controller automatically increases the proportional gain to twice the base value, making the control action more aggressive and bringing the reactor temperature close to the process requirements as quickly as possible, thus shortening the auxiliary time. This design achieves a gain increase from... arrive Smooth, self-scaling transitions.

[0044] S3. Based on the instantaneous deviation, the rate of change of deviation, the base gain, and the nominal rate derived from the base gain and the device output range, determine the phase relationship between the instantaneous deviation and the rate of change of deviation, and obtain the integral weight of the controller.

[0045] It should be noted that traditional integral terms This is the main cause of overshoot, and its fundamental flaw lies in its reliance on only one factor. That is, the current position, without looking. That is, the current velocity; in a high-thermal-inertial system like a synthesis reactor, when the temperature... When it rapidly rushes towards the set point due to inertia, that is... The temperature will be very high, and even if the system stops feeding immediately, the temperature will continue to rise for a distance due to the excess raw material and residual heat in the reactor, leading to overshoot; a traditional integrator will then see... The problem persists and will continue to accumulate, causing feed commands to remain at a high level and exacerbating overshoot; this invention constructs a dynamic weight. And derive a nominal speed using the PID's own parameters. As a criterion, when there is a risk of overshoot in the system, the accumulation of integral terms is actively suppressed, that is, excessive feeding is suppressed.

[0046] Specifically, obtain the nominal rate It is determined by the P and I base gains and the device output range. ,in , It is the base gain. It is the output range; This represents a baseline rate of change determined by the controller's PI characteristics; the controller's integral weights satisfy the expression:

[0047]

[0048] In the formula, It is a moment; yes The integral weight at time step 1 has a range of (0,1]. yes Instantaneous deviation at a given moment; yes The rate of change of deviation at any given time; It is the product of the instantaneous deviation and the rate of change of the deviation, used to determine the motion trend of the system, i.e., the phase relationship; It is by The derived nominal rate; It is the absolute value symbol.

[0049] In the formula, when This situation indicates that the system state is deteriorating or deviating from the setpoint, for example, the temperature is lower than the set value. And the temperature continues to drop. At this point, the system urgently needs the integral term to play its full role, hence the weight. When set to 1, the integrator works normally; when This situation indicates that the system is moving towards the setpoint, for example, when the temperature is below the set value. But the temperature is rising rapidly. This is the critical stage where overshoot is about to occur; at this point, if the system's velocity towards the set point... Much greater than the nominal rate Then the denominator It becomes very large, causing the integral weight to be very large. Approaching 0; the function of this term is to adjust the integral weight when the system violently approaches the setpoint. The value becomes very small, which is equivalent to the controller anticipating that the system's own inertia is far beyond the normal level, thereby actively suppressing the accumulation of the integral term and preventing integral overshoot.

[0050] S4. Obtain the dynamic differential gain of the controller based on the deviation change rate, the basic differential gain, and the nominal rate.

[0051] It should be noted that traditional differential terms Gain Difficult to tune; in the control of the synthesis reactor, if If it's too small, the effect of suppressing oscillations is poor; if If the gain is too large, it will excessively amplify the measurement noise of the temperature sensor, causing frequent small fluctuations in the feed control output, i.e., the feed valve or feed pump, which will damage the equipment; this invention constructs a dynamic differential gain. The purpose is to automatically increase the differential gain to provide damping when the system undergoes drastic changes, while maintaining a low base gain to suppress feed disturbances when the system is stable.

[0052] Specifically, this invention employs a nonlinear hybrid function structure and utilizes the nominal rate defined in S3. As a benchmark; dynamic differential gain Calculate using the following formula:

[0053]

[0054] In the formula, It is a moment; yes The dynamic differential gain at time step; yes The rate of change of deviation at any given time; It is the basic derivative gain of the PID controller; As defined in the preceding steps, by The derived nominal rate; It is the absolute value symbol.

[0055] In the formula, This term is a gain mixer with a value range between [1, 2), where When the system stabilizes, i.e. during the heat preservation stage, the kettle temperature... Almost unchanged, Approaching 0, leading to As the gain approaches 0, the gain mixer approaches 1, and the entire formula becomes... Approaching ,Right now At this time, the controller automatically adopts the base gain. To avoid amplifying sensor noise and ensure smooth control output; when the system undergoes drastic changes or oscillations, such as being subjected to disturbances, Very large, far exceeding ,lead to The gain is very large, at which point the gain mixer approaches 2, and the entire formula becomes... Approaching ,Right now At this point, the controller automatically and smoothly increases the differential gain to twice the base value, providing a strong damping effect, actively stopping the temperature change trend, and enabling the system to quickly return to stability.

[0056] S5. Combining adaptive proportional gain, integral weight, dynamic differential gain, and the controller's basic integral gain, calculate the proportional term, integral term, and differential term respectively, and add the proportional term, integral term, and differential term to obtain the controller's control output, thus completing the feeding control method for the synthesis reactor.

[0057] It should be noted that this invention uses three adaptive gains, namely... , and Combined, they form the final control output signal. This signal is an intelligent command that integrates three strategies: far-fast and near-slow, inertial prediction and dynamic damping. The signal represents the target feed rate and is sent to the feed actuator, such as the speed of the ammonia feed pump or the opening setting of the control valve.

[0058] Specifically, in each control cycle The controller calculates the proportional term, integral term, and derivative term separately, and the proportional term, integral term, and derivative term respectively satisfy the following expressions:

[0059]

[0060]

[0061]

[0062] In the formula, It is a moment; yes The proportional output at any given moment; yes The integral output at time step; It is the accumulated value of the points from the previous period; yes The differential output at time step; It is the adaptive proportional gain; It is the integral weight; It is the dynamic differential gain; yes Instantaneous deviation at a given moment; yes The rate of change of deviation at any given time; It is the basic integral gain; It is the control cycle.

[0063] Furthermore, these three components , and Add them together to get the final total control output. The output It is sent to the feed actuator, such as an ammonia feed pump or a glyoxal feed valve.

[0064] For example, Figure 2 This is a schematic diagram of temperature and control output under the control of the present invention. The red curve represents the actual reactor temperature; the red dashed line represents the target temperature; and the blue solid line represents the control output of the feed.

[0065] Thus, a synthesis reactor feed control method capable of simultaneously and adaptively adjusting the P, I, and D parameters has been realized.

[0066] This invention also discloses a feeding control system for a synthesis reactor, including a processor and a memory. The memory stores computer program instructions, which, when executed by the processor, implement a feeding control method for a synthesis reactor according to the present invention.

[0067] The system also includes other components well known to those skilled in the art, such as communication buses and communication interfaces, the settings and functions of which are known in the art and will not be described in detail here.

Claims

1. A feed control method for a synthesis vessel, characterized by, The method comprises the following steps: Real-time acquisition of the temperature in the reactor, calculation of the instantaneous deviation of the temperature in the reactor from the target temperature, and calculation of the rate of change of the temperature deviation; Based on the instantaneous deviation, the basic proportional gain, and the proportional scale derived from the basic proportional gain and the device output range, an adaptive proportional gain of the controller is obtained; Based on the instantaneous deviation, the rate of change of the deviation, the basic gain, and the nominal rate derived from the basic gain and the device output range, the phase relationship between the instantaneous deviation and the rate of change of the deviation is determined, and the integral weight of the controller is obtained; Based on the rate of change of the deviation, the basic differential gain, and the nominal rate, a dynamic differential gain of the controller is obtained; The adaptive proportional gain, the integral weight, the dynamic differential gain, and the basic integral gain of the controller are combined to calculate the proportional term, the integral term, and the differential term, respectively, and the proportional term, the integral term, and the differential term are added to obtain the control output of the controller, thereby completing the feeding control method of the synthesis reactor; Adaptive proportional gain satisfies the expression: ; where, is the adaptive proportional gain at the instant of time; is the base proportional gain; is the transient deviation; is the proportional scale; is the absolute value sign; The integral weight satisfies the expression: ; wherein, is the integral weight at the time instant ; wherein, is the rate of change of bias; is the nominal rate; The dynamic differential gain satisfies the expression: ; wherein, is the dynamic differential gain at the time instant ; and is the base differential gain. The proportional scale is obtained by dividing the device output range by the basic proportional gain; The nominal rate satisfies the expression: ; where, is the device output range; is the base integral gain.

2. The feed control method of a synthesis vessel according to claim 1, wherein The phase relationship between the instantaneous deviation and the rate of change of the deviation is determined, and the integral weight of the controller is obtained, which comprises: When the product of the instantaneous deviation and the rate of change of the deviation is greater than or equal to 0, the integral weight is set to 1; when the product of the instantaneous deviation and the rate of change of the deviation is less than 0, the integral weight is attenuated according to the ratio of the absolute value of the rate of change of the deviation to the nominal rate.

3. The feed control method of a synthesis vessel according to claim 1, wherein The proportional term, the integral term, and the differential term are calculated, respectively, which comprises: proportional term ; Integral term ; derivative term ; in, , , They are Proportional output, integral output, and derivative output at any given time; It is an adaptive proportional gain; It is the integral weight; It is the dynamic differential gain; It is an instantaneous deviation; It is the rate of change of deviation; It is the basic integral gain; It is the accumulated value of the points from the previous period; It is the control cycle.

4. The feed control method of a synthesis vessel according to claim 1, wherein The instantaneous deviation of the temperature in the reactor from the target temperature, and the rate of change of the temperature are calculated, which comprises: The target temperature is subtracted from the acquired temperature in the reactor to obtain the instantaneous deviation; the derivative of the instantaneous deviation is extracted after the instantaneous deviation is processed by a low-pass filter to estimate the rate of change of the temperature.

5. A feed control system for a synthesis vessel, characterized by, The method comprises the following steps: A processor and a memory, the memory storing computer program instructions, when the computer program instructions are executed by the processor, a feeding control method of a synthesis reactor according to any one of claims 1-4 is realized.

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