Abstract
Against EMLA (Electromagnetic Linear Actuator) in the long-running, the changed parameters of actuator coil resistance and inductance caused by temperature rise resulted in degradation of control performance, and parameters recondition in the inverse system control program. By using parameter identification method based on recursive least squares method (RLSM), the adaptive inverse system control is implemented in electromagnetic linear actuator. Under Matlab/Simulink it establishes the simulation model to simulate online identification process and the adaptive inverse control system strategy which achieve the control effect when the parameters change, and the test data are identified off-line verification. The results show that it is able to accurately identify the actuator coil resistance and inductance parameters, and at the same time, it can identify system’s dynamic mass, viscous friction coefficient and disturbance force of load. Finally, the test platform was built to verify, the identification results was used to control parameters online real-time. And the parameters identification was used in the practical application of inverse system control, implemented system’s adaptive control, improved system’s robustness in long run.
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