Sliding-model control method for compensating a model uncertainty of a direct drive motor system
An uncertain, direct drive motor technology, applied in the direction of adaptive control, general control system, control/regulation system, etc., can solve the problems of not being able to obtain high-precision control performance, stimulating high-frequency dynamics of the system, and adding controllers , to achieve the effects of ensuring transient control performance, reducing gain, and eliminating observation errors
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[0094] In order to assess the performance of the designed controller, the following parameters are taken in the simulation to model the direct drive motor system:
[0095] Inertia load parameter m=0.0138kg m 2 ; Viscous friction coefficient B = 0.2N m s / rad; Moment amplification factor k u =53.6N·m / V;
[0096] The desired instruction for a given system is: x d =8sin(t)[1-exp(-0.01t 3 )](rad)
[0097] According to two different system working conditions, the simulation process is divided into two parts:
[0098] 1) When the model uncertainty d(x,t)=0.3+0.1sin(πt)N m:
[0099] Take the following controller for comparison:
[0100] Model Uncertainty Compensated Sliding Mode Control (UC‐SMC) controller: take the model uncertainty observer parameter k 1 =5000, β 1 =30,ε 1 =0.05,p 1 = 3 and q 1 =5; controller parameter c 1 =512,c 2 = 192, k = 0.001.
[0101] Sliding mode controller (SMC): In order to force the system state to reach the sliding mode surface, the selecte...
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