Rotor Vibration Control Method and System Based on Shape Memory Alloy Variable Stiffness Support

Abstract

The present invention discloses a rotor vibration control method and system based on a shape memory alloy variable stiffness support. The method includes selecting a monitoring support from a set of controllable stiffness supports; obtaining the temperature of the monitoring support and the current rotor speed; determining a temperature setpoint based on the current rotor speed and a temperature control strategy; and adjusting the temperature of the monitoring support based on the temperature control strategy. Based on the support stiffness variation control strategy, the present invention controls the vibration response at each critical speed, thereby preventing the rotor system from vibrating beyond critical speeds.

Description

Technical Field

[0001] The present invention relates to the technical field of lateral vibration control of high-speed rotors, and in particular to a rotor vibration control method and system based on shape memory alloy variable stiffness supports. Background Art

[0002] Aircraft engines are developing towards higher speeds and lighter weight. Their rotors must pass through multiple critical speeds before reaching operating speed. These critical speeds generate significant vibration, which can, in severe cases, lead to instability in the engine's rotor system. Currently, there are three main methods for controlling excessive vibration in the rotor system during critical speeds: 1. Increasing the acceleration rate to quickly pass the critical speed; 2. Increasing the damping of the rotor system, primarily through the use of elastic supports combined with squeeze film dampers and active squeeze film dampers; and 3. Controlling rotor system vibration through active actuators, primarily through magnetic bearings and lateral actuators.

[0003] Shape memory alloys (SMAs) are composed of two or more metallic elements that undergo phase transformations under the influence of temperature and stress, resulting in changes in the SMA's stiffness. This property can be applied to rotor system vibration control. Current research on the application of shape memory alloys in rotor system vibration control focuses on simple rotor structures and has not examined the use of SMAs to control rotor system vibration under excessive critical conditions. For aircraft engine rotor systems with complex structures and multiple critical speeds, establishing a master vibration control strategy to attenuate vibration peaks as they pass through critical speeds is essential.

[0004] Therefore, how to establish an active control system for a rotor assembly with a complex structure is one of the important issues that need to be solved urgently in this field. Summary of the Invention

[0005] The purpose of the present invention is to provide a rotor vibration control method and system based on shape memory alloy variable stiffness support to address the deficiencies in the prior art. It can establish an active control system for rotor components with complex structures so that the rotor speed can quickly pass through the critical speed.

[0006] The present invention proposes a rotor vibration control method based on shape memory alloy variable stiffness support, wherein:

[0007] Selecting a monitoring support from controllable stiffness supports;

[0008] Acquiring the temperature of the monitoring support and the current rotor speed; wherein the support is made of shape memory alloy;

[0009] Determine the temperature setting value based on the current rotor speed and determine the temperature control strategy;

[0010] The temperature of the monitoring support is adjusted according to the temperature control strategy.

[0011] In the rotor vibration control method based on shape memory alloy variable stiffness support as described above, an optional method is as follows: a method for determining a temperature setting value according to the current rotor speed is:

[0012] Determine the corresponding optimal support stiffness according to the current rotor speed;

[0013] The temperature setting value is determined according to the optimal support stiffness corresponding to the current rotor speed; wherein, if the optimal support stiffness corresponding to the current rotor speed is the stiffness of complete austenite, the first temperature value is set as the temperature setting value; if the optimal support stiffness corresponding to the current rotor speed is the stiffness of complete martensite, the second temperature is set as the temperature setting value.

[0014] The rotor vibration control method based on shape memory alloy variable stiffness support as described above, wherein, optionally: the temperature control strategy includes a first control strategy and a second control strategy;

[0015] Among them, the first control strategy is to control the temperature of the support by using the PID algorithm under the first condition;

[0016] The second control strategy is to control the liquid nitrogen to be sprayed onto the monitoring support under the second condition to achieve temperature reduction.

[0017] The rotor vibration control method based on the shape memory alloy variable stiffness support as described above, wherein, optionally: the first condition is that the temperature setting value is a first temperature value;

[0018] The second condition is that the temperature setting value is a second temperature value, and the temperature of the monitoring support is greater than the second temperature value.

[0019] In the rotor vibration control method based on shape memory alloy variable stiffness support as described above, an optional method is: determining the corresponding optimal support stiffness according to the current rotor speed is:

[0020] The corresponding optimal support stiffness is determined based on the current rotor speed, the preset relationship between the optimal support stiffness of the monitoring support and the rotor speed.

[0021] The rotor vibration control method based on the shape memory alloy variable stiffness support as described above, wherein, optionally: the monitoring support selected from the controllable stiffness support includes:

[0022] Determine the critical speed order of the rotor system;

[0023] Conduct sensitivity analysis on each critical speed;

[0024] The controllable stiffness support with the highest global sensitivity index is used as the monitoring support.

[0025] The present invention also proposes a rotor vibration control system based on shape memory alloy variable stiffness support, which includes: a shape memory alloy spring, a rotor, a heating device, a cooling device, a temperature sensor, a speed sensor and a host computer;

[0026] The shape memory alloy spring is connected to the rotor to support the rotor through the shape memory alloy spring;

[0027] The host computer is electrically connected to the heating device, the cooling device, the temperature sensor, and the speed sensor;

[0028] The heating device is used to heat the shape memory alloy spring; the cooling device is used to cool the shape memory alloy spring;

[0029] The temperature sensor is used to detect the temperature of the shape memory alloy spring;

[0030] The rotation speed sensor is used to detect the rotation speed of the rotor;

[0031] The host computer is used to control the temperature of the shape memory alloy spring through the heating device and the cooling device according to the detection results of the temperature sensor and the rotation speed sensor, so as to adjust the stiffness of the shape memory alloy spring.

[0032] As described above, in the rotor vibration control system based on shape memory alloy variable stiffness support, optionally, the host computer is further used to determine the temperature setting value and control strategy based on the detection result of the speed sensor, and control the heating device or the cooling device to adjust the temperature of the shape memory alloy spring according to the control strategy.

[0033] As described above, the rotor vibration control system based on shape memory alloy variable stiffness support, wherein, optionally: the heating device is a carbon fiber heating tube;

[0034] The host computer controls the current of the carbon fiber heating tube through the IPD control method to increase the temperature of the shape memory alloy spring when needed.

[0035] The rotor vibration control system based on shape memory alloy variable stiffness support as described above, wherein, optionally, the cooling device includes a liquid nitrogen pump and a liquid nitrogen storage tank;

[0036] The liquid nitrogen pump is connected to the liquid nitrogen storage tank through a pipeline;

[0037] The host computer is electrically connected to the liquid nitrogen pump;

[0038] The host computer is used to control the liquid nitrogen pump to open when needed, so as to spray liquid nitrogen toward the shape memory alloy spring.

[0039] The present invention determines the optimal support position for vibration control at each critical speed based on the degree of influence of changes in the support stiffness of a complex rotor system on each critical speed, thereby simplifying vibration control for complex rotor systems. Furthermore, based on a control strategy for changes in support stiffness, the vibration response at each critical speed is controlled, thereby controlling the rotor system from passing critical vibrations. Compared to existing technologies, the present invention is adaptable to complex multi-support rotor systems. The control system proposed in the present invention can determine the moment of stiffness change based on the speed, and can suppress multiple resonance peaks. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 This is a schematic diagram of the overall structure of Example 1 of the present invention;

[0041] Figure 2 is a flowchart of step S1 in Example 1 of the present invention;

[0042] Figure 3 is a flowchart of the specific steps of step S3 in Example 1 of the present invention;

[0043] Figure 4 is a schematic diagram of the first control strategy proposed by the present invention;

[0044] Figure 5 is a schematic diagram of the second control strategy proposed by the present invention;

[0045] Figure 6 It is a block diagram of the control method proposed by the present invention;

[0046] Figure 7 This is a structural block diagram of the control system proposed in Example 2 of the present invention.

[0047] Description of reference numerals:

[0048] 1-Shape memory alloy spring, 2-Rotor, 3-Heating device, 4-Cooling device, 5-Temperature sensor, 6-Speed sensor, 7-Upper computer, 8-Displacement sensor;

[0049] 41-Liquid nitrogen storage tank. DETAILED DESCRIPTION

[0050] The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0051] In response to the problems raised in the above background technology, since the SMA needs to change its stiffness through temperature changes, a rapid cooling and heating solution is the key to the control method. The heating method uses a carbon fiber heating tube for heating, which not only can achieve rapid heating, but also avoids the safety hazards caused by direct power generation. The cooling method uses high-pressure liquid nitrogen to spray the SMA to achieve rapid cooling, rather than traditional fan convection heat exchange. The improved heating and cooling methods enable the SMA to have a fast stiffness change rate. In addition, a comprehensive variable stiffness control strategy is still needed. The key to the active variable stiffness vibration control strategy is that it can progressively increase or reduce the support stiffness in a suitable speed range according to the feedback of the rotor speed, thereby realizing multi-critical vibration control of the rotor. The following is a detailed introduction to the present invention in conjunction with the embodiments.

[0052] Example 1

[0053] Please refer to the attached Figures 1 to 6 This embodiment proposes a rotor vibration control method based on shape memory alloy variable stiffness support, which includes the following steps:

[0054] S1, selecting a monitoring support from the controllable stiffness supports; that is, selecting one or several monitoring supports from a plurality of controllable stiffness supports to realize control of a complex system through active control of one or several controllable stiffness supports.

[0055] In specific implementation, a sensitivity analysis of the critical speed of the rotor system at each critical speed order can be performed based on the Sobol's method. The controllable stiffness support with the highest global sensitivity index is the support that needs to change stiffness when approaching the critical speed, that is, the monitoring support. It should be pointed out that the monitoring support can be one, two, or more, and the present invention is not limited to this. In specific implementation, the method of selecting the monitoring support includes:

[0056] S11, determine the critical speed order of the rotor system;

[0057] S12, sensitivity analysis of each critical speed;

[0058] Analyze the rotor system support parameter k i( i=1,2,…,s) for the i-th critical speed E of the rotor system i The degree of influence is s, where s is the number of controllable stiffness supports. The LHS method is used to perform independent random sampling on all variables, with the number of sampling points being m. The sample matrix M1 and resampling matrix M2 obtained by sampling are as follows:

[0059]

[0060]

[0061] Wherein, the subscript s represents the number of controllable support stiffnesses, and the superscript m represents the mth set of sampling data.

[0062]

[0063]

[0064]

[0065]

[0066] E i It means taking the expectation of the i-th group of sample data. represents the square of the constant term, D i Denotes the total variance of the data, D ij and are the covariances of the sampled data and the resampled data, respectively. S is the number of controllable support stiffnesses, and m is the mth set of sampled data.

[0067] The Sobol' first-order sensitivity index of the j-th controllable stiffness support is:

[0068]

[0069] D i Denotes the total variance of the data, D ij represents the covariance of the sampled data.

[0070] The Sobol' global sensitivity index of the j-th controllable stiffness support is:

[0071]

[0072] D i represents the total variance of the data, represents the covariance of the resampled data.

[0073] S13, the controllable stiffness support with the highest global sensitivity index is used as the monitoring support.

[0074] S2. Acquire the temperature of a monitoring support and the current rotor speed. The support is made of a shape memory alloy. Specifically, the monitoring support is a predetermined support capable of active control, such as a spring made of a shape memory alloy. The temperature of the monitoring support may be monitored using a temperature sensor, and the current rotor speed may be monitored using a speed sensor.

[0075] S3 determines a temperature setpoint based on the current rotor speed and determines a temperature control strategy. Specifically, the temperature setpoint serves as a reference for temperature adjustment and is crucial for temperature control of shape memory alloys. The temperature setpoint corresponds to the stiffness of the shape memory alloy. In other words, stiffness is adjusted by controlling the temperature.

[0076] In specific implementation, this step also includes the following specific steps:

[0077] S31, determining a corresponding optimal support stiffness based on the current rotor speed; that is, determining the corresponding optimal support stiffness based on the current rotor speed, a predetermined relationship between the optimal support stiffness of the monitoring support, and the rotor speed. In a specific implementation, determining the corresponding optimal support stiffness based on the current rotor speed can be determined based on a predetermined relationship between the optimal support stiffness and the rotor speed, can be obtained by looking up a comparison table of predetermined optimal support stiffness and rotor speed, or can be obtained through a simulation model.

[0078] S32, determining a temperature setting value according to the optimal support stiffness corresponding to the current rotor speed; if the optimal support stiffness corresponding to the current rotor speed is the stiffness of complete austenite, setting the first temperature value as the temperature setting value; if the optimal support stiffness corresponding to the current rotor speed is the stiffness of complete martensite, setting the second temperature value as the temperature setting value.

[0079] In a specific implementation, if the optimal support stiffness corresponding to the current rotor speed is the stiffness of a fully austenitic structure, i.e., high stiffness, the temperature setting value is set to a first temperature value, i.e., a high temperature setting value. If the optimal support stiffness corresponding to the current rotor speed is the stiffness of a fully martensitic structure, i.e., low stiffness, the temperature setting value is set to a second temperature value, i.e., a low temperature setting value.

[0080] S33: Determine a temperature control strategy.

[0081] In specific implementation, by selecting monitoring supports from the controllable stiffness supports, the number of monitoring supports is one or several, far fewer than the number of supports in the complex system, which can simplify the control process. At the same time, selecting the controllable stiffness support with the highest global sensitivity as the monitoring support can achieve better control results. Based on the degree to which the changes in the support stiffness of the complex rotor system affect each critical speed, the optimal support position for vibration control at each critical speed is determined. Based on the support stiffness change control strategy, the vibration response at each critical speed is controlled, thereby controlling the rotor system from passing critical vibration.

[0082] In specific implementation, in order to achieve active control of the monitoring support, the temperature control strategy includes a first control strategy and a second control strategy.

[0083] The first control strategy is to control the temperature of the support by a PID algorithm under a first condition. Specifically, the first condition is that the temperature setting value is a first temperature value.

[0084] In a specific implementation, the heating device may be a carbon fiber heating tube, and the current of the heating device is controlled by a PID algorithm to achieve temperature control of the monitoring support by the heating device.

[0085] Specifically, the temperature of the support is detected and monitored by a temperature sensor, and the temperature is fed back to the temperature controller. The difference between the actual temperature and the temperature setting value is input into the PID controller to control the output current.

[0086] Please refer to Figure 4 and Figure 6 , the control current of the carbon fiber heating tube is shown in the following formula.

[0087]

[0088] Where, e(k) = T(k) - T high . K p , K i , K d They are the proportional coefficient, integral coefficient and differential coefficient of the PID controller, I high is the control current of the carbon fiber heating tube, T0 is the current temperature setting value, T high is the first temperature value, which needs to be selected to ensure that the SMA reaches a completely austenitic state, T(k) is the kth temperature sampling value. e(i) is the difference between the ith temperature sampling T(i) and the first temperature value T high The difference between , e(i) = T(i) - T high .

[0089] Please refer to Figure 5 and Figure 6 The second control strategy involves, under a second condition, controlling the liquid nitrogen spraying of the support to achieve cooling. Specifically, the second condition is that the temperature setting is a second temperature value, and the temperature of the monitoring support is greater than the second temperature value. In practice, the second control strategy uses an ON / OFF controller for temperature control, with the actuators being a solid-state relay and a liquid nitrogen pump. Specifically, the solid-state relay controls the on / off switching of the liquid nitrogen pump's operating circuit. Specifically, the control current of the liquid nitrogen pump is expressed as follows.

[0090]

[0091] Among them, I low is the control current of the liquid nitrogen air pump, T low is the second temperature value, which is selected to ensure that the SMA reaches a completely martensitic state, and I0 is the rated operating current of the liquid nitrogen pump.

[0092] In specific implementation, through the above I high and I low It can be seen from the calculation formula that, except for the first and second conditions, the control current of the carbon fiber heating tube and the control current of the liquid nitrogen pump are both zero, that is, except for the first and second conditions, the monitoring support is neither heated by the heating device nor cooled by the solid-state relay or the liquid nitrogen pump.

[0093] S4, adjusting the temperature of the monitoring support according to the temperature control strategy. That is, according to the above control method, the monitoring support is controlled to be heated or cooled.

[0094] Example 2

[0095] This embodiment proposes a control system corresponding to embodiment 1, and the method disclosed in embodiment 1 can be applied to this control system. The following focuses on the control system, and its usage method can refer to embodiment 1.

[0096] Please refer to Figure 7 This embodiment proposes a rotor vibration control system based on a shape memory alloy variable-stiffness support, comprising a shape memory alloy spring 1, a rotor 2, a heating device 3, a cooling device 4, a temperature sensor 5, a speed sensor 6, and a host computer 7. Specifically, the shape memory alloy spring 1 is the support referred to in Example 1. More specifically, it is a preselected monitoring support. The method for selecting the shape memory alloy spring 1 is the same as that in Example 1. In this embodiment, the host computer 7 can function as a temperature controller.

[0097] Specifically, the shape memory alloy spring 1 is connected to the rotor 2 so as to support the rotor 2 through the shape memory alloy spring 1 .

[0098] The host computer 7 is electrically connected to the heating device 3, the cooling device 4, the temperature sensor 5, and the speed sensor 6. The temperature sensor 5 is used to detect the temperature of the shape memory alloy spring 1; the speed sensor 6 is used to detect the speed of the rotor 2; the heating device 3 is used to heat the shape memory alloy spring 1; and the cooling device 4 is used to cool the shape memory alloy spring 1. The host computer 7 is used to modify the temperature setting value based on the detection results of the speed sensor 6 and select a control strategy based on the temperature setting value and the detection results of the temperature sensor 5. According to the corresponding control strategy, the heating device 3 is controlled to heat or the cooling device 4 is controlled to cool.

[0099] The host computer 7 is configured to control the temperature of the shape memory alloy spring 1 via the heating device 3 and the cooling device 4 based on the detection results of the temperature sensor 5 and the speed sensor 6, thereby adjusting the stiffness of the shape memory alloy spring 1. The specific control method is the same as that in Example 1 and will not be repeated here.

[0100] The host computer 7 is further configured to determine a temperature setting value and a control strategy based on the detection results of the speed sensor 6, and to control the heating device 3 or the cooling device 4 according to the control strategy to adjust the temperature of the shape memory alloy spring 1. Specifically, the heating device 3 and the cooling device 4 can facilitate rapid change in the temperature of the shape memory alloy spring 1 to achieve the purpose of changing its stiffness, thereby achieving active control of the stiffness of the shape memory alloy spring 1.

[0101] In a specific implementation, in order to achieve temperature control, the heating device 3 is a carbon fiber heating tube; the host computer 7 controls the current of the carbon fiber heating tube through the IPD control method to increase the temperature of the shape memory alloy spring 1 when necessary.

[0102] To achieve rapid cooling, a cooling method can be selected by directly spraying liquid nitrogen onto the shape memory alloy spring 1. Specifically, the cooling device 4 includes a liquid nitrogen pump and a liquid nitrogen storage tank 41; the liquid nitrogen pump is connected to the liquid nitrogen storage tank 41 via a pipeline; the host computer 7 is electrically connected to the liquid nitrogen pump; the host computer 7 is used to control the liquid nitrogen pump to open when needed to spray liquid nitrogen onto the shape memory alloy spring 1.

[0103] During specific implementation, in order to facilitate control of the liquid nitrogen pump, the on / off state of the liquid nitrogen pump can be controlled by controlling a solid-state relay. To monitor the rotor speed, a photoelectric speed sensor is installed at one end of the rotor shaft to return an electrical pulse signal. To monitor the support state of the controllable stiffness support, a PT100 thermal resistor temperature sensor is installed at the controllable stiffness support seat to return a temperature signal to a dynamic signal analyzer. Specifically, a displacement sensor 8 is also included. The displacement sensor 8 is installed at the rotor and is electrically connected to the host computer 7. It is used to detect the displacement of the rotor to measure the displacement response at key positions of the rotor. Specifically, the displacement sensor 8 is an eddy current displacement sensor.

[0104] Through the above-mentioned Examples 1 and 2, the present invention determines the optimal support positions for vibration control at each critical speed based on the degree to which changes in the support stiffness of a complex rotor system affect each critical speed. Furthermore, based on the support stiffness variation control strategy, the vibration response at each critical speed is controlled, thereby preventing the rotor system from vibrating past critical vibrations. Compared to existing technologies, the present invention is more adaptable to complex, multi-support rotor systems.

[0105] The above describes in detail the structure, features and effects of the present invention based on the embodiments shown in the drawings. The above is only a preferred embodiment of the present invention, but the scope of implementation of the present invention is not limited to what is shown in the drawings. Any changes made in accordance with the concept of the present invention, or modifications to equivalent embodiments with equivalent changes, which do not exceed the spirit covered by the description and drawings, should be within the scope of protection of the present invention.

Claims

1. A rotor vibration control method based on shape memory alloy variable stiffness support, characterized by: Selecting a monitoring support from a controllable stiffness support; the method for selecting a monitoring support includes: determining the critical speed order of the rotor system; performing sensitivity analysis on each critical speed order; analyzing the rotor system support parameters; k i( i=1,2,…,s) for the rotor system i The degree of influence of the critical speed is calculated, where s is the number of controllable stiffness supports. The LHS method is used to perform independent random sampling on all variables, with the number of sampling points being m. The sample matrix M1 and resampling matrix M2 obtained by sampling are as follows: ； Among them, the subscript s Indicates the number of controllable support stiffness, the superscript m Indicates the m Group sampling data; ； ; ; ; E i Indicates the i The expected value of the group sampling data is obtained; represents the square of the constant term, D i represents the total variance of the data, and Represent the covariance of sampled data and resampled data respectively; S is the number of controllable support stiffness, m For the m Group sampling data; S is the number of controllable support stiffnesses, m For the m Group sampling data; the Sobol' first-order sensitivity index of the j-th controllable stiffness support is: ; The Sobol' global sensitivity index of the j-th controllable stiffness support is: The controllable stiffness support with the highest global sensitivity index is used as the monitoring support; Acquiring the temperature of the monitoring support and the current rotor speed; wherein the support is made of shape memory alloy; Determine the temperature setting value based on the current rotor speed and determine the temperature control strategy; The temperature of the monitoring support is adjusted according to the temperature control strategy.

2. The rotor vibration control method based on shape memory alloy variable stiffness support according to claim 1, characterized in that: The method for determining the temperature setting value based on the current rotor speed is: Determine the corresponding optimal support stiffness according to the current rotor speed; The temperature setting value is determined according to the optimal support stiffness corresponding to the current rotor speed; wherein, if the optimal support stiffness corresponding to the current rotor speed is the stiffness of complete austenite, the first temperature value is set as the temperature setting value; if the optimal support stiffness corresponding to the current rotor speed is the stiffness of complete martensite, the second temperature is set as the temperature setting value.

3. The rotor vibration control method based on shape memory alloy variable stiffness support according to claim 2, characterized in that: The temperature control strategy includes a first control strategy and a second control strategy; Among them, the first control strategy is to control the temperature of the support by using the PID algorithm under the first condition; The second control strategy is to control the liquid nitrogen to be sprayed onto the monitoring support under the second condition to achieve temperature reduction.

4. The rotor vibration control method based on shape memory alloy variable stiffness support according to claim 3, characterized in that: The first condition is that the temperature setting value is a first temperature value; The second condition is that the temperature setting value is a second temperature value, and the temperature of the monitoring support is greater than the second temperature value.

5. The rotor vibration control method based on shape memory alloy variable stiffness support according to claim 2, characterized in that: The method for determining the corresponding optimal support stiffness according to the current rotor speed is: The corresponding optimal support stiffness is determined based on the current rotor speed, the preset relationship between the optimal support stiffness of the monitoring support and the rotor speed.

6. The rotor vibration control method based on shape memory alloy variable stiffness support according to any one of claims 1 to 5, characterized in that: The monitoring supports selected from the controllable stiffness supports include, Determine the critical speed order of the rotor system; Conduct sensitivity analysis on each critical speed; The controllable stiffness support with the highest global sensitivity index is used as the monitoring support.

7. A rotor vibration control system based on shape memory alloy variable stiffness support, characterized by: It includes a shape memory alloy spring (1), a rotor (2), a heating device (3), a cooling device (4), a temperature sensor (5), a speed sensor (6) and a host computer (7); The shape memory alloy spring (1) is connected to the rotor (2) so as to support the rotor (2) via the shape memory alloy spring (1); The host computer (7) is electrically connected to the heating device (3), the cooling device (4), the temperature sensor (5), and the speed sensor (6); The heating device (3) is used to heat the shape memory alloy spring (1); the cooling device (4) is used to cool the shape memory alloy spring (1); The temperature sensor (5) is used to detect the temperature of the shape memory alloy spring (1); The rotation speed sensor (6) is used to detect the rotation speed of the rotor (2); The host computer (7) is used to control the temperature of the shape memory alloy spring (1) through the heating device (3) and the cooling device (4) according to the detection results of the temperature sensor (5) and the speed sensor (6), so as to adjust the stiffness of the shape memory alloy spring (1); the control method of the rotor vibration control system is the rotor vibration control method based on the shape memory alloy variable stiffness support according to claim 1.

8. The rotor vibration control system based on shape memory alloy variable stiffness support according to claim 7, characterized in that: The host computer (7) is further configured to determine a temperature setting value and a control strategy based on a detection result of the rotational speed sensor (6), and to control the heating device (3) or the cooling device (4) to adjust the temperature of the shape memory alloy spring (1) based on the control strategy.

9. The rotor vibration control system based on shape memory alloy variable stiffness support according to claim 8, characterized in that: The heating device (3) is a carbon fiber heating tube; The host computer (7) controls the current of the carbon fiber heating tube through an IPD control method to increase the temperature of the shape memory alloy spring (1) when necessary.

10. The rotor vibration control system based on shape memory alloy variable stiffness support according to claim 8, characterized in that: The cooling device (4) includes a liquid nitrogen pump and a liquid nitrogen storage tank (41); The liquid nitrogen pump is connected to the liquid nitrogen storage tank (41) through a pipeline; The host computer (7) is electrically connected to the liquid nitrogen pump; The host computer (7) is used to control the liquid nitrogen pump to open when needed, so as to spray liquid nitrogen toward the shape memory alloy spring (1).

Images