. "Z(MSM0021630518)" . "MMaMS 2009" . "328008" . "2009-09-22+02:00"^^ . . . . "RIV/00216305:26210/09:PU82976!RIV10-MSM-26210___" . "Multi-Model Based Online Parameter Estimation Applied to System With Significant Dry Friction" . "Technick\u00E1 univerzita v Ko\u0161iciach" . "RIV/00216305:26210/09:PU82976" . . "Multi-Model Based Online Parameter Estimation Applied to System With Significant Dry Friction" . . "Zempl\u00EDnska \u0160\u00EDrava" . "Ko\u0161ice" . "1"^^ . . "The small electromechanical actuators (usually with DC motors) play an important role in automotive industry. Due to low cost mass production the mechanical properties of designed drive systems are relatively poor and thus e.g. dry friction nonlinearity is significant. The linear control algorithm such as PID or LQR cannot be successfully used and the nonlinear compen-sators are of interest. Usually, such compensators require the knowledge of system parameters which can be time variant. This paper deals with model-based algorithm for online parameter estimation. The bank of models with perturbed parameters is computed in real-time. Using the input-output comparison of MSE the best model candidate is selected and its parameters are used in nonlinear friction compensation algorithm. Simulation results are presented in this pa-per." . "1"^^ . "[0128BF4FE3A6]" . "Multi-Model Based Online Parameter Estimation Applied to System With Significant Dry Friction"@en . . . . "The small electromechanical actuators (usually with DC motors) play an important role in automotive industry. Due to low cost mass production the mechanical properties of designed drive systems are relatively poor and thus e.g. dry friction nonlinearity is significant. The linear control algorithm such as PID or LQR cannot be successfully used and the nonlinear compen-sators are of interest. Usually, such compensators require the knowledge of system parameters which can be time variant. This paper deals with model-based algorithm for online parameter estimation. The bank of models with perturbed parameters is computed in real-time. Using the input-output comparison of MSE the best model candidate is selected and its parameters are used in nonlinear friction compensation algorithm. Simulation results are presented in this pa-per."@en . . . . "4"^^ . "Grepl, Robert" . . . "Multi-Model Based Online Parameter Estimation Applied to System With Significant Dry Friction"@en . . "friction, control, compensator, multi-model approach"@en . "978-80-553-0288-1" . "26210" . .