A Vibratory Feeder Method for Rapid Quantitative and Energy-Saving Material Feeding

Abstract

This invention relates to the field of material supply technology and provides a method for rapid quantitative and energy-saving material feeding using a vibratory feeder, comprising the following steps: S1, feeding material through a hopper to the vibratory feeder, where the vibratory feeder vibrates and feeds the material; S2, performing optimization detection during the start of feeding, and calculating the resonance frequency f3 using a simulated annealing method; S3, calculating the resonance output power P1 required for the vibratory feeder and the material being conveyed to resonate and convey; S4, performing a two-stage optimization detection during the start of feeding, and calculating the output frequency f4 obtained by the controller based on the error value E1 between the target material conveying weight and the actual conveying weight being between Emin≤E1≤Emax using a simulated annealing method, and controlling the frequency converter to drive the drive mechanism of the vibratory feeder to operate and feed the material at the output frequency f4, thus completing the rapid quantitative and energy-saving material conveying using the vibratory feeder. This invention solves the problem of inaccurate high-speed quantitative conveying of materials that are prone to entanglement and piling up in existing vibratory feeder methods.

Description

Technical Field

[0001] This invention relates to the field of material supply technology, and in particular to a rapid quantitative and energy-saving feeding method using a vibratory feeder. Background Technology

[0002] With social progress and development, automatic feeding vibratory feeders are a type of automatic orientation and sorting feeding equipment. Their purpose is to automatically and accurately transport disordered workpieces to the next process through vibration. Vibratory feeders are auxiliary equipment in automatic assembly machinery, capable of orderly arranging various products or working in conjunction with automatic assembly equipment to deliver different parts of a product to the next process. During operation, the feeding speed of vibratory feeders is difficult to control precisely. Currently, production equipment uses methods such as adjusting the amplitude by changing the output voltage to change the feeding speed. This cannot fundamentally solve the problem of slow feeding speed caused by working point offset, and it significantly increases energy consumption. Furthermore, vibratory feeders require a long time to adjust the output power to adapt to different materials, failing to achieve automatic adjustment for different materials. This is especially problematic for materials that easily entangle and pile up, resulting in low conveying efficiency, high energy consumption, and increased production costs for enterprises. To address this issue, our company has developed a high-efficiency and energy-saving vibratory feeder feeding method, patent number: CN202011527148.2. This method includes the following steps: S1, feeding material through a hopper to the vibratory feeder for vibration feeding; S2, performing optimized detection during feeding startup. During detection, the controller keeps the inverter voltage constant while adjusting the inverter's frequency output. The detection information of the material's conveying speed, combined with the frequency change, is fed back to the controller. Using simulated annealing, the controller adjusts the inverter's output frequency based on the material conveying speed detection information to a resonant output frequency value between the vibratory feeder's drive frequency and the material's natural frequency; S3, the controller controls the inverter to drive the vibratory feeder's drive mechanism with output power P1 and frequency conversion to the resonant frequency f3. This invention solves the problems of low conveying efficiency, high energy consumption, and high operating costs associated with existing vibratory feeder feeding methods for materials prone to tangling and piling. This invention reduces costs, saves energy, and achieves rapid material conveying. However, when materials need to be conveyed in a quantitative manner, the material is conveyed in a resonant state due to the high amplitude during use. That is, the material is conveyed at ultra-high speed. Due to the excessively fast conveying speed, the conveying volume error of the material is too large. The faster the material is conveyed, the more difficult it is to control the conveying volume, resulting in inaccurate quantitative conveying of the material. Summary of the Invention

[0003] Therefore, in view of the above problems, the present invention provides a vibratory feeder method for rapid quantitative energy-saving feeding that ensures both efficient and accurate material feeding, is applicable to the automatic switching of various material feeding processes, has fast speed adjustment, and is easy to use.

[0004] To solve this technical problem, the present invention adopts the following solution: a method for rapid quantitative and energy-saving feeding of materials using a vibratory feeder, comprising the following steps: S1. The material is fed to the vibratory feeder through the hopper and vibrated by the vibratory feeder. The vibratory feeder is controlled by the controller through the frequency converter to adjust the feeding speed of the vibratory feeder. A sensor is set at the feeding outlet of the vibratory feeder to detect the conveying speed of the material and feeds back the detection information of the sensor to the controller. A weighing sensor is set at the receiving point to detect the weight information of the material actually fed out by the vibratory feeder and feeds back to the controller. The vibration frequency of the vibratory feeder is set as the driving frequency f1, and the frequency of the material when it vibrates freely is set as the natural frequency f2. S2. When starting the feeding process, optimize the detection. During the detection, the controller sets the voltage V1 of the frequency converter to remain constant while adjusting the frequency output of the frequency converter. Combined with the detection information of the conveying speed of the material corresponding to the frequency change, the controller is fed back to the controller. Using the simulated annealing method, the controller adjusts the output frequency of the frequency converter according to the material conveying speed detection information until the drive frequency of the vibratory feeder and the natural frequency of the material resonate. The output frequency value that resonates between the drive frequency of the vibratory feeder and the natural frequency of the material is set as the resonance frequency f3. S3. Two-stage optimization detection is performed when feeding begins. The controller first controls the frequency converter to be adjusted to the resonant frequency f3 to drive the vibratory feeder's drive mechanism to feed the material. During the two-stage optimization detection, the controller sets the voltage V1 of the frequency converter to remain constant while adjusting the frequency output of the frequency converter. By changing the frequency of the frequency converter, the actual conveying weight of the material is detected and fed back to the controller. The maximum error value between the target material conveying weight and the actual conveying weight is set to Emax, and the minimum error value between the target material conveying weight and the actual conveying weight is set to Emin. The simulated annealing method is used to calculate the output frequency f4 obtained by the controller when the error value E1 between the target material conveying weight and the actual conveying weight is between Emin≤E1≤Emax. The controller controls the frequency converter to drive the vibratory feeder's drive mechanism to feed the material at the output frequency f4, thus completing the rapid quantitative and energy-saving conveying of materials by the vibratory feeder.

[0005] Further, in step S3, when calculating the output frequency f4, the controller gradually reduces the output frequency from the resonant frequency f3 of the inverter to the output frequency f5. Then, a second-stage optimization test is performed at the reduced output frequency f5. The real-time error value E2 of the output frequency f5 is calculated by comparing the actual material conveying weight detected by the weighing sensor with the target conveying weight input to the controller. If the real-time error value Emin ≤ E2 ≤ Emax, then the output frequency f5 is the optimized target output frequency f4, and the second-stage optimization test can be stopped. If the real-time error value E2 > Emax, the output frequency is further reduced to the output frequency f6 for the second-stage optimization test. The real-time error value E3 is calculated by comparing the actual material conveying weight at the output frequency f6 detected by the weighing sensor with the target conveying weight input to the controller. If the real-time error value Emin ≤ E3 ≤ Emax, then the output frequency f6 is the optimized target output frequency f4. If the real-time error value E3 > Emax, the output frequency is reduced to the output frequency f7 to continue the second-stage optimization test. The weighing sensor detects the actual material conveying weight at output frequency f7 and compares it with the target conveying weight input on the controller to calculate the real-time error value E4. If the real-time error value Emin≤E4≤Emax, then the output frequency f7 is the optimized target output frequency f4, and the second-stage optimization detection can be stopped at this time. If the real-time error value E4>Emax, the output frequency is reduced to output frequency f8 to continue the second-stage optimization detection. The weighing sensor detects the actual material conveying weight at output frequency f8 and compares it with the target conveying weight input on the controller to calculate the real-time error value E5. If the real-time error value Emin≤E5≤Emax, then the output frequency f8 is the optimized target output frequency f4. If the real-time error value E5>Emax, the output frequency is reduced to output frequency f9 to continue the second-stage optimization detection. If the real-time error value E5<Emin, the output frequency is increased to output frequency f10 to continue the second-stage optimization detection, until the real-time error value at the output frequency fn is Emin≤En≤Emax, which is the target output frequency f4.

[0006] Furthermore, in step S3, when calculating the output frequency f4, the controller gradually increases the output frequency from the resonant frequency f3 of the inverter to the output frequency f11. Then, a second-stage optimization test is performed using the increased output frequency f11. The actual material conveying weight detected by the weighing sensor is compared with the target conveying weight input to the controller to calculate the real-time error value E6 of the output frequency f11. If the real-time error value Emin ≤ E6 ≤ Emax, then the output frequency f11 is the optimized target output frequency f4, and the second-stage optimization test can be stopped at this point. If the real-time error value E6 > Emax, the output frequency is further increased to the output frequency f12 for the second-stage optimization test. The actual material conveying weight detected by the weighing sensor at the output frequency f12 is compared with the target conveying weight input to the controller to calculate the real-time error value E7. If the real-time error value Emin ≤ E7 ≤ Emax, then the output frequency f12 is the optimized target output frequency. If the output frequency is f4, and the real-time error value E7 > Emax, the output frequency is increased to f13 to continue the second-stage optimization test. The actual material conveying weight at the output frequency f13 is detected by the weighing sensor and compared with the target conveying weight input on the controller to calculate the real-time error value E8. If the real-time error value E8 > Emax, the output frequency is increased to f14 to continue the second-stage optimization test. The actual material conveying weight at the output frequency f14 is detected by the weighing sensor and compared with the target conveying weight input on the controller to calculate the real-time error value E9. If the real-time error value Emin ≤ E9 ≤ Emax, then the output frequency f14 is the optimized target output frequency f4. If the real-time error value E9 < Emin, the output frequency is decreased to f15 to continue the second-stage optimization test until the real-time error value Emin ≤ En ≤ Emax when outputting at the real-time output frequency fn is obtained, which is the target output frequency f4.

[0007] Furthermore, in step S2, a sensor can be used to detect the material conveying speed and the sensor can feed back the detection information to the controller. When the simulated annealing method is used for detection, the driving frequency when the material conveying speed detected by the sensor is V ± 0.3% compared with the previous time is the frequency value at which the driving frequency of the vibrating plate and the natural frequency of the material resonate.

[0008] Furthermore, the controller is a PLC controller or a CNC controller.

[0009] By adopting the aforementioned technical solution, the beneficial effects of the present invention are as follows: Before feeding the vibratory feeder, the controller optimizes the detection during the feeding process. During detection, the controller keeps the voltage of the frequency converter constant while adjusting the frequency output of the frequency converter. Combined with sensor information detecting the material conveying speed, the controller receives feedback. Using simulated annealing, the controller adjusts the output frequency of the frequency converter to the resonance value between the drive frequency of the vibratory feeder and the natural frequency of the material, based on the sensor information. Then, the resonance frequency between the vibratory feeder and the material is detected. Next, a second-stage optimization detection is performed when feeding begins. First, the controller controls the drive frequency of the frequency converter to be adjusted to the resonance frequency f3 to drive the drive mechanism of the vibratory feeder. During the second-stage optimization detection, the controller keeps the voltage V1 of the frequency converter constant while adjusting the frequency output of the frequency converter. By changing the frequency of the frequency converter, the actual conveying weight of the material is detected and fed back to the controller. Using simulated annealing, the controller calculates the weight of the material based on the target material conveying speed. The output frequency f4 is obtained when the error value E1 between the feed weight and the actual conveyed weight is between Emin≤E1≤Emax. The controller controls the drive frequency of the frequency converter to drive the drive mechanism of the vibratory feeder to operate and feed materials at the output frequency f4, thus completing the rapid, quantitative, energy-saving, and precise material conveying of the vibratory feeder. It achieves the goal of generating a large vibration of the vibratory feeder with a very small driving force to quickly convey materials. At the same time, the material and the vibratory feeder can quickly approach resonance to break up material clumping, avoiding material entanglement and clumping, which increases the power required for conveying. This allows the vibrator to achieve the optimal amplitude conveying of materials with minimal energy consumption. It can quickly and quantitatively convey materials within the allowable error range required for material conveying. The error control of material conveying is precise, and the error range of material conveying can be automatically adjusted and switched according to the requirements. It has low energy consumption, fast adjustment speed, and is easy to use. Compared with the existing feeding control methods of vibratory feeders, it is energy-saving, provides precise quantitative conveying, and automatically adjusts to the required error. It can be widely promoted and applied. Detailed Implementation

[0010] The present invention will now be further described in conjunction with specific embodiments. Example 1:

[0011] A method for rapid, quantitative, and energy-saving feeding using a vibratory feeder includes the following steps: S1. The material is fed to the vibratory feeder through the hopper and vibrated by the vibratory feeder. The vibratory feeder is controlled by the controller via the frequency converter to adjust the feeding speed of the vibratory feeder. The controller is a PLC controller. A sensor is set at the feeding outlet of the vibratory feeder to detect the conveying speed of the material and feeds back the detection information of the sensor to the controller. A weighing sensor is set at the receiving point to detect the weight information of the material actually fed out by the vibratory feeder and feeds back to the controller. The vibration frequency of the vibratory feeder is set as the driving frequency f1, and the frequency of the material when it vibrates freely is set as the natural frequency f2. S2. Optimize detection when feeding starts. During detection, the controller sets the voltage V1 of the frequency converter to remain constant while adjusting the frequency output of the frequency converter. Combined with the detection information of the conveying speed of the material corresponding to the frequency change, the controller is fed back to the controller. Using the simulated annealing method, the controller adjusts the output frequency of the frequency converter according to the material conveying speed detection information to the output frequency value that resonates between the drive frequency of the vibratory feeder and the natural frequency of the material. The output frequency value that resonates between the drive frequency of the vibratory feeder and the natural frequency of the material is set as the resonance frequency f3. When the material conveying speed detected by the sensor is V ± 0.3% compared with the previous time, the drive frequency is the frequency value that resonates between the drive frequency of the vibratory feeder and the natural frequency of the material. S3. Two-stage optimization detection is performed when feeding begins. The controller first controls the inverter's drive frequency to the resonant frequency f3 to drive the vibratory feeder's drive mechanism to feed materials. During the two-stage optimization detection, the controller sets the inverter's voltage V1 to remain constant while adjusting the inverter's frequency output. By changing the inverter's frequency, the actual conveyed weight of the material is detected and fed back to the controller. The maximum error value between the target material conveying weight and the actual conveying weight is set to Emax. The simulated annealing method is used to calculate the output frequency f4 obtained by the controller when the error value E1 between the target material conveying weight and the actual conveying weight is between Emin≤E1≤Emax. The controller controls the inverter's drive frequency to drive the vibratory feeder's drive mechanism to feed materials at the output frequency f4, thus completing the vibratory feeder's rapid quantitative energy-saving material conveying.

[0012] The following adjustment method can be used when calculating the output frequency f4: In step S3, when calculating the output frequency f4, the controller gradually reduces the resonant frequency f3 of the inverter output from the resonant frequency f3 to the output frequency f5. Then, a second-stage optimization test is performed at the reduced output frequency f5. The real-time error value E2 of the output frequency f5 is calculated by comparing the actual material conveying weight detected by the weighing sensor with the target conveying weight input on the controller. If the real-time error value Emin≤E2≤Emax, then the output frequency f5 is the optimized target output frequency f4, and the second-stage optimization test can be stopped at this time. If the real-time error value E2>Emax, the output frequency is further reduced to the output frequency f6 for the second-stage optimization test. The real-time error value E3 is calculated by comparing the actual material conveying weight at the output frequency f6 detected by the weighing sensor with the target conveying weight input on the controller. If the real-time error value Emin≤E3≤Emax, then the output frequency f6 is the optimized target output frequency f4. If the real-time error value E3>Emax, the output frequency is reduced to the output frequency f7 and the second-stage optimization test continues. The second-stage optimization test involves comparing the actual material conveying weight at output frequency f7 (detected by a weighing sensor) with the target conveying weight input on the controller to calculate a real-time error value E4. If the real-time error value Emin ≤ E4 ≤ Emax, then output frequency f7 is the target output frequency f4, and the second-stage optimization test can be stopped. If the real-time error value E4 > Emax, the output frequency is reduced to output frequency f8, and the second-stage optimization test continues. The real-time error value E5 is calculated by comparing the actual material conveying weight at output frequency f8 with the target conveying weight input on the controller. If the real-time error value Emin ≤ E5 ≤ Emax, then output frequency f8 is the target output frequency f4. If the real-time error value E5 > Emax, the output frequency is reduced to output frequency f9, and the second-stage optimization test continues. If the real-time error value E5 < Emin, the output frequency is increased to output frequency f10, and the second-stage optimization test continues until the real-time error value at the output frequency fn is Emin ≤ En ≤ Emax, which is the target output frequency f4.

[0013] In step S3, another adjustment method can be used when calculating the output frequency f4: The controller gradually increases the resonant frequency f3 of the inverter output from the resonant frequency f3 to the output frequency f11. Then, a second-stage optimization test is performed using the increased output frequency f11. The actual material conveying weight detected by the weighing sensor is compared with the target conveying weight input on the controller to calculate the real-time error value E6 of the output frequency f11. If the real-time error value Emin≤E6≤Emax, then the output frequency f11 is the optimized target output frequency f4, and the second-stage optimization test can be stopped at this time. If the real-time error value E6>Emax, the output frequency is further increased to the output frequency f12 for the second-stage optimization test. The actual material conveying weight detected by the weighing sensor at the output frequency f12 is compared with the target conveying weight input on the controller to calculate the real-time error value E7. If the real-time error value Emin≤E7≤Emax, then the output frequency f12 is the optimized target output frequency. The target output frequency is f4. If the real-time error value E7 > Emax, the output frequency is increased to f13 for the second-stage optimization test. The actual material conveying weight at output frequency f13 is detected by the weighing sensor and compared with the target conveying weight input on the controller to calculate the real-time error value E8. If the real-time error value E8 > Emax, the output frequency is increased to f14 for the second-stage optimization test. The actual material conveying weight at output frequency f14 is detected by the weighing sensor and compared with the target conveying weight input on the controller to calculate the real-time error value E9. If the real-time error value Emin ≤ E9 ≤ Emax, then the output frequency f14 is the optimized target output frequency f4. If the real-time error value E9 < Emin, the output frequency is decreased to f15 for the second-stage optimization test, until the real-time error value Emin ≤ En ≤ Emax when outputting at the real-time output frequency fn is obtained, which is the target output frequency f4.

[0014] Using the above method, actual testing was conducted using the conveying of jujubes as an example. By inputting the weight and the actual weight, the error was controlled within ±2g. First, the resonance frequency was calculated through optimized detection when feeding was initiated (the specific testing process for the resonance frequency has been disclosed in our previously developed and applied-for technical solution CN202011527148.2, which provides a high-efficiency and energy-saving feeding method for vibratory feeders). The frequency converter was controlled to maintain the drive voltage of 170V on the vibratory feeder's drive mechanism. Testing was then performed at the following different frequencies: Red dates: Maintaining a constant voltage of 170V, input weight of 200g, and a resonant frequency of 46.3Hz. At 47Hz, the actual weight is 240g, which is 40g different from the input weight (exceeding the ±2g range). At 47.5Hz, the actual weight is 220g, which differs from the input weight by 20g (exceeding the ±2g range). At 48Hz, the actual weight is 208g, which is 8g different from the input weight (exceeding the ±2g range). At 48.5Hz, the actual weight is 204g, which is 4g different from the input weight (exceeding the ±2g range). At 49Hz, the actual weight is 203g, which is 3g different from the input weight (exceeding the ±2g range). At 49.2Hz, the actual weight is 202g, which is 2g different from the input weight (within ±2g range). At 49.6Hz, the actual weight is 201g, which is 0g different from the input weight (within ±2g range). At 50.2Hz, the actual weight is 200g, which is 0g different from the input weight (within ±2g range). At 50.8Hz, the actual weight is 200g, which is 0g different from the input weight (within ±2g range). At 51.3Hz, the actual weight is 199g, which is -1g from the input weight (within the range of ±2g). At 51.8Hz, the actual weight is 198g, which is -2g different from the input weight (within the range of ±2g). At 52.5Hz, the actual weight is 195g, which is -5g different from the input weight (exceeding the ±2g range). At 53.8Hz, the actual weight is 191g, which is -9g different from the input weight (exceeding the ±2g range). At 54.8Hz, the actual weight is 185g, which is -15g different from the input weight (exceeding the ±2g range).

[0015] By comparison, the target output frequency was reached when the frequency was increased to 49.2Hz. Further testing showed that the frequency range from 49.2Hz to 51.8Hz was within the error range. However, when the frequency exceeded 51.8Hz, it exceeded the target error range. Therefore, the simulated annealing method was used to calculate the output frequency f4. The controller could obtain the output frequency f4 when the error value E1 between the target material conveying weight and the actual conveying weight was between Emin≤E1≤Emax. The controller controlled the drive frequency of the frequency converter to drive the drive mechanism of the vibratory feeder to operate and feed the material at the target output frequency f4. This enabled rapid quantitative conveying within the error range, thus completing the rapid quantitative energy-saving material conveying of the vibratory feeder.

[0016] Using the above method, actual testing was conducted using rice as an example. By inputting the weight and the actual weight, the error was controlled within ±2g. First, when feeding was initiated, optimized detection was performed to calculate the resonant frequency. The frequency converter was then used to control the drive mechanism of the vibratory feeder to maintain a drive voltage of 160V. Testing was then conducted at the following different frequencies: Rice: Maintaining a constant voltage of 160V, input weight of 200g, resonant frequency is 46.9Hz. At 55Hz, the actual weight is 180g, which is -20g different from the input weight (exceeding the ±2g range). At 56Hz, the actual weight is 169g, which is -31g different from the input weight (exceeding the ±2g range). If the error between the input weight and the actual weight after frequency increase is greater, frequency reduction should be started.

[0017] At 54Hz, the actual weight is 189g, which is -11g different from the input weight (exceeding the ±2g range). At 53Hz, the actual weight is 192g, which is -8g different from the input weight (exceeding the ±2g range). At 52Hz, the actual weight is 196g, which is -4g different from the input weight (exceeding the ±2g range). At 51.6Hz, the actual weight is 198g, which is -2g different from the input weight (within the range of ±2g). At 51.2Hz, the actual weight is 199g, which is -1g different from the input weight (within the range of ±2g). At 50.5Hz, the actual weight is 200g, which is 0g different from the input weight (within ±2g range). At 49.8Hz, the actual weight is 200g, which is 0g different from the input weight (within ±2g range). At 49.4Hz, the actual weight is 202g, which differs from the input weight by 2g (exceeding the ±2g range). At 49Hz, the actual weight is 206g, which is 6g different from the input weight (exceeding the ±2g range). At 48.5Hz, the actual weight is 213g, which is 13g different from the input weight (exceeding the ±2g range). At 48Hz, the actual weight is 228g, which is 28g different from the input weight (exceeding the ±2g range).

[0018] By comparison, the target output frequency was reached when the frequency was increased to 51.6Hz. Further testing showed that the frequency range from 51.6Hz to 49.4Hz was within the error range. However, frequencies exceeding 51.8Hz and below 49.4Hz exceeded the target error range. Therefore, the simulated annealing method was used to calculate the output frequency f4. The controller could obtain the output frequency f4 when the error value E1 between the target material conveying weight and the actual conveying weight was between Emin≤E1≤Emax. The controller controlled the drive frequency of the frequency converter to drive the drive mechanism of the vibratory feeder to operate and feed the material at the target output frequency f4. This enabled rapid quantitative conveying within the error range, thus completing the rapid quantitative energy-saving material conveying of the vibratory feeder.

[0019] Using the above method, actual testing was conducted using powder conveying as an example. By inputting the weight and the actual weight, the error was controlled within ±2g. First, the resonant frequency was calculated and optimized during the feeding process. The frequency converter was then used to control the drive mechanism of the vibratory feeder to maintain a drive voltage of 160V. Testing was then performed at the following different frequencies: Powder: Maintaining a constant voltage of 170V, input weight of 200g, and a resonant frequency of 43.4Hz. At 43Hz, the actual weight is 216g, which is 16g different from the input weight (exceeding the ±2g range). At 42Hz, the actual weight is 210g, which is 10g different from the input weight (exceeding the ±2g range). At 41.5Hz, the actual weight is 204g, which is 4g different from the input weight (exceeding the ±2g range). At 41.2Hz, the actual weight is 202g, which is 2g different from the input weight (within ±2g range). At 41Hz, the actual weight is 201g, which is 1g different from the input weight (within ±2g range). At 40.9Hz, the actual weight is 200g, which is 0g different from the input weight (within ±2g range). At 40.6Hz, the actual weight is 198g, which is 2g different from the input weight (within ±2g range). At 40.2Hz, the actual weight is 195g, which is 5g different from the input weight (exceeding the ±2g range). At 39.7Hz, the actual weight is 189g, which is 11g different from the input weight (exceeding the ±2g range). At 39Hz, the actual weight is 181g, which is 19g different from the input weight (exceeding the ±2g range).

[0020] By comparison, the target output frequency was reached when the frequency dropped to 41.2Hz. Further testing showed that the frequency range from 41.2Hz to 40.6Hz was within the error range. However, frequencies above 41.2Hz and below 40.6Hz exceeded the target error range. Therefore, the simulated annealing method was used to calculate the output frequency f4. When the error value E1 between the target material conveying weight and the actual conveying weight was between Emin≤E1≤Emax, the controller could obtain the output frequency f4. The controller controlled the drive frequency of the frequency converter to drive the drive mechanism of the vibratory feeder to feed the material at the target output frequency f4. This enabled rapid quantitative conveying within the error range, thus completing the rapid quantitative energy-saving material conveying of the vibratory feeder.

[0021] In step S2 of the vibratory feeder rapid quantitative energy-saving feeding method of the present invention, the detection of the material conveying speed can be carried out by using different types of sensors or inductors depending on the material, and the detection information can be fed back to the controller. When using the simulated annealing method for detection, the driving frequency when the material conveying speed detected by the sensor is V ± 0.3% compared with the previous time is the frequency value at which the driving frequency of the vibratory feeder and the natural frequency of the material resonate. At this time, the running value can shorten the detection process while ensuring that the material conveying is close to the optimal value. If better accuracy and more precise control of the material conveying speed are required, the error value can be set to be smaller to close to 0. The closer the error value is to 0, the higher the accuracy. The controller can also be a CNC controller.

[0022] Although the invention has been specifically shown and described in conjunction with preferred embodiments, those skilled in the art should understand that various changes in form and detail may be made to the invention without departing from the spirit and scope of the invention as defined in the appended claims, all of which shall be within the scope of protection of the invention.

Claims

1. A method for rapid, quantitative, and energy-saving feeding using a vibratory feeder, characterized in that: Includes the following steps: S1. The material is fed to the vibratory feeder through the hopper and vibrated by the vibratory feeder. The vibratory feeder is controlled by the controller through the frequency converter to adjust the feeding speed of the vibratory feeder. A sensor is set at the feeding outlet of the vibratory feeder to detect the conveying speed of the material and feeds back the detection information of the sensor to the controller. A weighing sensor is set at the receiving point to detect the weight information of the material actually fed out by the vibratory feeder and feeds back to the controller. The vibration frequency of the vibratory feeder is set as the driving frequency f1, and the frequency of the material when it vibrates freely is set as the natural frequency f2. S2. When starting the feeding process, optimize the detection. During the detection, the controller sets the voltage V1 of the frequency converter to remain constant while adjusting the frequency output of the frequency converter. Combined with the detection information of the conveying speed of the material corresponding to the frequency change, the controller is fed back to the controller. Using the simulated annealing method, the controller adjusts the output frequency of the frequency converter according to the material conveying speed detection information until the drive frequency of the vibratory feeder and the natural frequency of the material resonate. The output frequency value that resonates between the drive frequency of the vibratory feeder and the natural frequency of the material is set as the resonance frequency f3. S3. Two-stage optimization detection is performed when feeding begins. The controller first controls the frequency converter to be adjusted to the resonant frequency f3 to drive the vibratory feeder's drive mechanism to feed the material. During the two-stage optimization detection, the controller sets the voltage V1 of the frequency converter to remain constant while adjusting the frequency output of the frequency converter. By changing the frequency of the frequency converter, the actual conveying weight of the material is detected and fed back to the controller. The maximum error value between the target material conveying weight and the actual conveying weight is set to Emax, and the minimum error value between the target material conveying weight and the actual conveying weight is set to Emin. The simulated annealing method is used to calculate the output frequency f4 obtained by the controller when the error value E1 between the target material conveying weight and the actual conveying weight is between Emin≤E1≤Emax. The controller controls the frequency converter to drive the vibratory feeder's drive mechanism to feed the material at the output frequency f4, thus completing the rapid quantitative and energy-saving conveying of materials by the vibratory feeder.

2. The vibratory feeder rapid quantitative energy-saving feeding method according to claim 1, characterized in that: In step S3, when calculating the output frequency f4, the controller gradually reduces the output frequency from the resonant frequency f3 of the inverter to the output frequency f5. Then, a second-stage optimization test is performed at the reduced output frequency f5. The actual material conveying weight detected by the weighing sensor is compared with the target conveying weight input to the controller to calculate the real-time error value E2 of the output frequency f5. If the real-time error value Emin≤E2≤Emax, then the output frequency f5 is the optimized target output frequency f4, and the second-stage optimization test can be stopped. If the real-time error value E2>Emax, the output frequency is further reduced to the output frequency f6 for the second-stage optimization test. The actual material conveying weight detected by the weighing sensor at the output frequency f6 is compared with the target conveying weight input to the controller to calculate the real-time error value E3. If the real-time error value Emin≤E3≤Emax, then the output frequency f6 is the optimized target output frequency f4. If the real-time error value E3>Emax, the output frequency is reduced to the output frequency f7 to continue the second-stage optimization test. The sensor detects the actual material conveying weight at output frequency f7 and compares it with the target conveying weight input on the controller to calculate the real-time error value E4. If the real-time error value Emin≤E4≤Emax, then the output frequency f7 is the optimized target output frequency f4, and the second-stage optimization detection can be stopped at this time. If the real-time error value E4>Emax, the output frequency is reduced to output frequency f8 to continue the second-stage optimization detection. The weighing sensor detects the actual material conveying weight at output frequency f8 and compares it with the target conveying weight input on the controller to calculate the real-time error value E5. If the real-time error value Emin≤E5≤Emax, then the output frequency f8 is the optimized target output frequency f4. If the real-time error value E5>Emax, the output frequency is reduced to output frequency f9 to continue the second-stage optimization detection. If the real-time error value E5<Emin, the output frequency is increased to output frequency f10 to continue the second-stage optimization detection, until the real-time error value Emin≤En≤Emax when outputting at the real-time output frequency fn is obtained, which is the target output frequency f4.

3. The vibratory feeder rapid quantitative energy-saving feeding method according to claim 1, characterized in that: In step S3, when calculating the output frequency f4, the controller gradually increases the output frequency from the resonant frequency f3 of the inverter to f11. Then, a second-stage optimization test is performed at the increased output frequency f11. The actual material conveying weight detected by the weighing sensor is compared with the target conveying weight input to the controller to calculate the real-time error value E6 of the output frequency f11. If the real-time error value Emin ≤ E6 ≤ Emax, then the output frequency f11 is the optimized target output frequency f4, and the second-stage optimization test can be stopped. If the real-time error value E6 > Emax, the output frequency is further increased to f12 for the second-stage optimization test. The actual material conveying weight detected by the weighing sensor at the output frequency f12 is compared with the target conveying weight input to the controller to calculate the real-time error value E7. If the real-time error value Emin ≤ E7 ≤ Emax, then the output frequency f12 is the optimized target output frequency. If the real-time error value E7 > Emax, the output frequency is increased to f13 to continue the second-stage optimization test. The actual material conveying weight at output frequency f13 is detected by the weighing sensor and compared with the target conveying weight input on the controller to calculate the real-time error value E8. If the real-time error value E8 > Emax, the output frequency is increased to f14 to continue the second-stage optimization test. The actual material conveying weight at output frequency f14 is detected by the weighing sensor and compared with the target conveying weight input on the controller to calculate the real-time error value E9. If the real-time error value Emin ≤ E9 ≤ Emax, then the output frequency f14 is the optimized target output frequency f4. If the real-time error value E9 < Emin, the output frequency is decreased to f15 to continue the second-stage optimization test until the real-time error value Emin ≤ En ≤ Emax when outputting at the real-time output frequency fn is obtained, which is the target output frequency f4.

4. The vibratory feeder rapid quantitative energy-saving feeding method according to claim 1, characterized in that: In step S2, a sensor can be used to detect the material conveying speed and the sensor can feed back the detection information to the controller. When the simulated annealing method is used for detection, the driving frequency when the material conveying speed detected by the sensor is V ± 0.3% compared with the previous time is the frequency value at which the driving frequency of the vibrating plate and the natural frequency of the material resonate.

5. The vibratory feeder rapid quantitative energy-saving feeding method according to claim 1, characterized in that: The controller is a PLC controller or a CNC controller.