Research On Three Axis Sampling Control System Of Chemiluminescence Immunoassay Analyzer

The chemiluminescence immunoassay analyzer is an indispensable detection device in clinical immunology tests.In order to improve the speed and accuracy of the analyzer in the sampling process,this paper focuses on the three-axis sampling control system of the chemiluminescence immunoassay analyzer,and conducts theoretical and simulation studies on the speed and accuracy of the sampling process.First of all,this article reviews the development status of the chemiluminescent immunoassay analyzer at home and abroad,and the development status of uniaxial and multiaxial motion control strategies.Then the structure and working principle of the permanent magnet synchronous linear motor are introduced.The structure of the triaxial sampling platform is analyzed.The mathematical model of the triaxial sampling platform constructed by the permanent magnet synchronous linear motor is designed.Secondly,according to the motion characteristics of the sampling needle and the reagent needle of chemiluminescence immunoassay analyzer,the single-axis velocity controller and the position controller of the sampling platform were designed.To solve the problems such as the load disturbance and parameter mismatch of the three-axis motion platform,From the impact,the use of position-speed double closed-loop tracking control method for single-axis motion control.The position loop adopts proportional control and the speed loop adopts PDFF control method,which can compensate for the deficiency of PI and IP control,improve the system response speed,reduce the tracking error generated during single-axis motion,and obtain the uniaxial tracking error and the control system.relationship.At the same time,the analysis of the contour error caused by the two-axis linkage is derived and its mathematical modeling is performed.In order to reduce the contour error during the sampling movement,a cross-coupled controller was designed to effectively improve the accuracy of the control system.Simulations by Matlab/Simulink show that the designed control scheme is effective for reducing the tracking error and contour error of the system.In order to further improve the accuracy of the sampling platform control system,a neural network-based adaptive control method was used to design a neural network cross-coupling control algorithm.The control algorithm is compared with uncoupled control and variable gain cross-coupling control.The simulation results show that theaccuracy of the cross-coupled control of the neural network is the highest.Finally,the hardware and software design of the three-axis motion control system of the sampling platform is performed.The experimental data can prove that the precision of the designed three-axis motion control system can reach the expected goal.