Title :
The Model-free Learning Adaptive Control for DC Motor Rotate Speed Systems
Author :
Rongmin, Cao ; Zhongsheng, Hou ; Jian, Huang
Author_Institution :
Beijing Inst. of Machinery Ind., Beijing
Abstract :
The model-free learning adaptive control (MFLAC) approach of a class of SISO nonlinear discrete-time systems based on linearization of tight format is applied to DC motor rotate speed systems . The design of controller is model-free, based directly on pseudo-partial-derivatives (PPD) derived on-line from the input and output information of the motor motion system using novel parameter estimation algorithms. Hardware system is implemented by data acquisition (DAQ) to control DC motor. Conjuncted general PC to DAQ and controlled DAQ to produce pulse-width modulation (PWM) wave which drive the IGBT circuit to control DC motor. The effectiveness and the robustness are demonstrated for the DC motor nonlinear systems which are known to be difficult to model and control by simulation and real-time application experiment examples .
Keywords :
DC motors; adaptive control; angular velocity control; control system synthesis; discrete time systems; learning systems; machine control; nonlinear control systems; parameter estimation; DAQ; DC motor nonlinear systems; DC motor rotate speed systems; IGBT circuit; SISO nonlinear discrete-time systems; conjuncted general PC; data acquisition; model-free controller design; model-free learning adaptive control; motor motion system; parameter estimation algorithms; pseudo-partial-derivatives; pulse-width modulation wave; Adaptive control; Algorithm design and analysis; Control systems; DC motors; Data acquisition; Hardware; Motion control; Parameter estimation; Pulse circuits; Pulse width modulation; DC Motor; Data Acquisition (DAQ); MFLAC; Nonlinear Systems; Robustness;
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
DOI :
10.1109/CHICC.2006.4346903
