The QiTai Radio Telescope (QTT) will be equipped with the active surface adjustment system (ASAS) to correct the main reflector deformation caused by environmental loading. In order to guarantee the stability and performance of the active surface system under fault conditions, it is necessary to adopt the fault-tolerant method when actuator faults have occurred. In this paper, a fault control method based on actuator faults weighting is proposed to solve the active surface fault control problem. According to the coordinates of the adjustable points of the panels corresponding to the faulty actuators, a new paraboloid is fitted by a weighted health matrix, and the fitting surface is taken as the target to adjust the surface shape.
The QiTai Radio Telescope (QTT) is a general-purpose, high-precision radio telescope with observing frequency covering 150 MHz∼115 GHz and the shortest observation wavelength is 3 mm. In order to ensure efficient observation at the wavelength of 3 mm, the required precision of the main reflector is very high. The precision of a single panel of the main reflector is required to be less than 0.08 mm rms (root-mean-square) [
When the best-fit surface is used as the reference surface of the ASAS, the deformation of the main reflector can be decreased. Many scholars have done a lot of work on the design of the best-fit surface. Hua proposed an optimal best-fit surface design based on the least-squares method at first [
In order to correct the deformation of the main reflector caused by external factors such as gravity, temperature, and wind, the shape of the reflector surface is adjusted by the ASAS by controlling the adjustment amount of actuators located between the reflector and the steel supporting truss, so that the antenna can still maintain less deformation when it is elevating and rotating [
The ASAS of the telescope is mainly composed of a master computer, control network, control bus, and actuators [
QTT failure mechanism analysis at the ASAS [
Types | Reason | Phenomena | Characteristics | |
---|---|---|---|---|
Master computer | Accidental termination of program computer failure | Computer failure and program crashes | The whole system stopped working | Sudden failure and obvious fault characteristics |
Control network | Ethernet failure, CAN bus fault, junction box failure | Data interface layer and user interface layer failure | Uncontrollable phenomena occurring in multiple sectors | Sudden failure and obvious fault characteristics |
Control bus | Interruption, information redundancy | The protocol and the lines are not connected | The issuing command actuators does not accept | Easy to observe the failure features |
Displacement actuator | Worm gear pair [ | Stuck, line aging, mechanical equipment elastic deformation or gluing, output deviation | The actuator fails to reach the specified pointing coordinate position and sends out abnormal sound | Sudden failure, obvious fault features, features difficult to extract |
The fault diagnosis of the ASAS mainly depends on the fault diagnosis system of the telescope control system. The fault diagnosis system needs a series of advanced and intelligent methods, for example, Expert system, Fault tree [
Active surface fault diagnosis method based on artificial intelligence [
Method | Advantage | Limitation |
---|---|---|
Expert system | Strict reasoning logic, high reliability | Knowledge is difficult to obtain, complex reasoning |
Fault tree | Qualitative, quantitative analysis with logical reasoning | The construction process is heavy and difficult. Logical operations are prone to error |
Neural network | Parallel processing, self-learning, self-organization, | The reasoning process of diagnosis is not clear |
Fuzzy inference | Flexible enough to deal with uncertain information | It is difficult to establish rules and membership functions |
The ASAS for QTT will adopt a semiclosed loop control system to correct surface deformation by controlling more than 2000 actuators. The fault tree model is especially suitable for the fault diagnosis of such a highly complex mechanism. Figure
Active surface fault tree analysis [
The reasoning process of the fault tree analysis is shown in Figure
Reasoning process of the fault tree analysis [
Actuator faults are one of the most frequent malfunctions in the ASAS. Actuator faults will prevent the adjustable main reflector from reaching the designated position, and it will affect the gain of the radio telescope. The decline of antenna efficiency caused by actuator faults is irreversible. However, it is difficult to replace the actuators immediately. The maintenance and replacement of the actuators for the Tian Ma Telescope and the FAST is a big challenge [
The state of actuator faults can be generally divided into four categories: Failure of a single actuator in a single sector A condition in which a single node in an area of the telescope cannot be adjusted due to a mechanical or electrical failure of a single actuator. Failure of multiple actuators in a single sector The condition is caused by the failure of multiple actuators or circuits in the same area, the field bus that controls the sector, and the failure or blockage of the junction box. Failure of a single actuator in multiple sectors A condition in which multiple nodes cannot be adjusted due to faults in the mechanical structure or circuit of a single actuator distributed over multiple areas of the telescope. Failure of multiple actuators in multiple sectors The condition caused by the failure of the mechanical structure or the circuits of multiple actuators in multiple areas, the field buses controlling these sectors, and the failure and blockage of junction boxes.
The failure forms of the active plane are analyzed by measurement system and fault diagnosis system. Finally, the specific model of telescope failure is obtained.
The ASAS of QTT will adopt distributed control to achieve the purpose of parabolic shape preserving by controlling the displacement of the piston of each actuator. When the actuator faults, the corner of the panel supported by the actuator cannot reach the specified position or gets stuck completely. In order to describe the failure degree of actuators, the failure factor is defined by
According to the failure factor defined in equation (
Fault tolerance of the main reflector consists of three parts, ASAS, Active surface fault diagnosis, and measuring subsystem. Through data analysis and real-time detection, the fault diagnosis and fault-tolerant method of actuator faults are realized. After the failure occurs in the ASAS, the relevant information in the log system is transmitted into the active surface fault diagnosis system, which is selected by the discriminant module for fault-tolerant processing and triggered by the alarm system to report the current active surface status information to the engineer. Fault-tolerant processing is carried out for actuator faults. The results are updated and stored in the log system, and the adjustment amount is fed back to the ASAS. The master computer controls the displacement actuators to reach the new position value. The scenario is completed by the cooperation of the telescope fault diagnosis system, the ASAS, and measuring system. Active surface fault diagnosis system is based on the development of fault handling system of large telescope control system [
Active surface fault diagnosis flow chart.
The mechanical stress and stiffness of the panels and actuators are considered in the active surface fault diagnosis system. Thus, the best-fit paraboloid of health matrix combined weighting based on this information can effectively improve the surface shape precision after the fault.
When actuators are a failure, the main reflector model has heteroscedasticity, and the weighted best-fit is used to solve the fitting parameters of the model so that it does not follow the heteroscedasticity. Based on the idea of traditional best-fit surface design [
The most general method of the best-fit is the least-squares method, which minimizes the deformation from more than 2,000 actuator errors.
The shape of the main reflector surface can be obtained by reflector surface measurement, so surface deformation comes from the same distribution. Statistically, the least-square estimation parameter is the maximum likelihood estimation method whose error distribution is Gaussian noise.
QTT will adopt a Gregorian antenna, and its main reflector is a paraboloid and subreflector is an ellipsoid. Suppose the equation of the original designed paraboloid
The actual surface
The axial coordinate
Simplify
Then, the least-squares matrix form of axial error between the measured value
Abbreviation:
Regularization:
Firstly, the concept of a health matrix is introduced to describe the performance status of each actuator. The health matrix is used as a penalty term in the calculation of the best-fit paraboloid based on the weighted surface to constrain faulty actuators displacement so as to ensure that these actuators can match optimal weighted best-fit paraboloid surface without moving, and decrease the rms surface error and consequently the antenna gain is improved under the condition of fault.
The heath matrix is given by the active surface fault diagnosis system according to the failure factors of each actuator. The health state of actuators is represented by the value of 0, 1 and reciprocal of the failure factor of actuators, 0 represents complete failure, 1 represents health, and other values represent partial failure. The larger the value, the higher the failure degree. The health matrix is expressed and the transformation parameters are solved by combining the equation group of the parameter matrix. The best-fit paraboloid based on optimal weighted will pay more attention to the information of the fault point so that the transformation of the actual fault paraboloid to the optimal weighted best-fit paraboloid will take the invariance of the fault point as the design benchmark to achieve a fault-tolerant effect. The penalty function of the fault point can be defined as follows:
The theoretical design of W needs to consider the fault tree model of the active surface fault diagnosis system to get actuators reliability and then to get the malfunction probability of the Top event. In order to facilitate the simulation, a general and concise expression is given in this paper.
The actuator’s health degree can be defined by the reciprocal of the failure factor for each actuator. A definition of failure factor is given by the following equation:
The expression of
An initial value
It is assumed that a 110-meter telescope has a focal diameter ratio of 0.33. The entire ASAS is divided into 32 sectors, and 64 actuators are distributed in each sector. For the convenience of data simulation, an actuator is assumed to control four adjacent panels except for the center and boundary of the paraboloid, totaling 2048 actuators. The fault residual after actuator faults is expressed as a random distribution. By simulating and comparing the stroke of fault points position and nonfault points position, the best-fit surface is designed under the fault points, which are not moved as much as possible.
The positioning error of the actuators is a group of Gaussian noises subject to small variance, and the SNR of surface measurement is set to 20 dB. Different colors represent the random distribution of errors. Error distribution of the actual error of the fault paraboloid is shown in Figure
Main reflector in case of actuator failure.
Combining fitting parameters and coordinate transformation formula, a new ideal coordinate of the paraboloid surface was obtained [
Compared with the surface error after surface corrected when actuators worked normally, actuators were partial fault, and the ASAS adopted fault-tolerant method after the fault occurred at 0, 20, 35, and 70 deg elevation, respectively. The results are shown in Table
Comparison of the main reflector rms after adopting fault-tolerant method.
Elevation angle (deg) | 0 | 20 | 35 | 70 |
---|---|---|---|---|
Surface error when ASAS disabled (mm rms) | 0.5300 | 0.3797 | 0.3300 | 0.4355 |
Surface error with no-faulty actuators (ideal) when ASAS enabled (mm rms) | 0 | 0 | 0 | 0 |
Surface error with faulty actuators when ASAS enabled (mm rms) | 0.2588 | 0.2819 | 0.2178 | 0.2834 |
Surface error with fault-tolerant when ASAS enabled by proposed method (mm rms) | 0.0701 | 0.1552 | 0.1332 | 0.2237 |
We assume that the main reflector rms surface error after the ASAS enabled is 0 under ideal conditions, which is not to consider the influence of the positioning precision of the actuators. Selecting 15 actuators as actual fault actuators randomly, perform simulation and take the fault tolerance method for the main reflector with faulty actuators. Comparing the surface error with faulty actuators between fault-tolerant method enabled and disabled, it is clear that rms error is far from half at 0 deg elevation, reduced to about half at 20, 35 deg elevation, and also reduced around 0.06 mm rms at 70 deg elevation.
Due to the excessive number of actuators, 400 actuators were randomly selected for simulation analysis and comparison. The surface deformation and position of the piston of actuators with the nonfault and at different elevations are shown in Figures
Nonfault actuators’ stroke at 0 deg elevation.
Compare with the main reflector rms deformation at 0 deg elevation. (a) The reflector deformation before actuator failure. (b) The reflector deformation after actuator failure. (c) The reflector deformation at tolerance method.
Nonfault actuators’ stroke at 20 deg elevation.
Compare with the main reflector deformation at 20 deg elevation. (a) The reflector deformation before actuator failure. (b) The reflector deformation after actuator failure. (c) The reflector deformation at tolerance method.
Nonfault actuators’ stroke at 35 deg elevation.
Compare with the main reflector deformation at 35 deg elevation. (a) The reflector deformation before actuator failure. (b) The reflector deformation after actuator failure. (c) The reflector deformation at tolerance method.
Nonfault actuators’ stroke at 70 deg elevation.
Compare with the main reflector deformation at 70 deg elevation. (a) The reflector deformation before actuator failure. (b) The reflector deformation after actuator failure. (c) The reflector deformation at tolerance method.
Figures
In other words, in the case of complete or partial failure of the fault point, the redundancy adjustment ability of the nonfault point can make up for the lack of surface precision and improve the antenna gain and observation efficiency of the telescope. The availability of this method can be verified by these examples. We think the method can be used as an effective fault-tolerant method for telescope maintenance management.
In summary, the fault tolerance method, which reduces the main reflector deformation under the situation of actuator faults, has been presented. This method keeps faulty actuators immobile or partially movable. First, the health matrix of actuators is used to fit optimal weighted best-fit paraboloid, and then these nonfaulty actuators are driven to compensate the main reflector deformation. Finally, the aim of improving the accuracy of the main reflector under the fault conditions is achieved. The scheme provides a theoretical basis and a strategic scheme for the observers to deal with malfunction.
No data were used to support this study.
The authors declare that they have no conflicts of interest.
This work was funded by the National Key Basic Research and Development Program (grant no. 2018YFA0404702) and the Chinese Academy of Sciences (CAS) “Light of West China” Program (grant no. 2017-XBQNXZ-B-021).This work was also partly supported by the Operation, Maintenance, and Upgrading Fund for Astronomical Telescopes and Facility Instruments, budgeted from the Ministry of Finance of China (MOF) and administrated by CAS. Also, the authors acknowledge the academy’s technical support.