NONLINEAR CONTROLLER COMPARISON ON A BENCHMARK ...

NONLINEAR CONTROLLER COMPARISON ON A BENCHMARK ... NONLINEAR CONTROLLER COMPARISON ON A BENCHMARK ...

24.08.2013 Views

Response in cm Response in cm 5 4 3 2 1 0 −1 −2 −3 Backstepping Linearized Robust −4 0 1 2 3 4 5 Time 6 7 8 9 10 5 4 3 2 1 0 −1 −2 −3 Figure 4.11: Backstepping vs. Linear Robust Control Backstepping Passivity Based −4 0 1 2 3 4 5 Time 6 7 8 9 10 Figure 4.12: Backstepping vs. Passivity Based Control 38

Response in cm 4 3 2 1 0 −1 −2 −3 SGA: Nonlinear Optimal Open Loop Response −4 0 1 2 3 4 5 Time 6 7 8 9 10 Figure 4.13: SGA: Nonlinear H 2 vs. Open Loop Response linearized H 2 (Figure 4.14 controllers in damping the vibrating beam. It did not use as much control e ort as either of these controllers, however, so it did use control e ort very e ciently. Since this control was fully nonlinear, in the sense that it was a nonlinear function of the state of the system, it was hoped that it could outperform the standard linearized approach. The fact that the LQR control provided better performance could be attributed to the fact that not enough basis functions were used, or perhaps the wrong basis functions were used. Only polynomials were used for basis functions, but logarithms or exponential functions might have performed better. 4.2.6 SGA: Nonlinear H1 Control The performance of the SGA to the HJI equation is comparable to that of the SGA to the HJB equation (see Figure 4.23). It seems that in both the H 2 and the H1 cases, the linear LQR design yields better overall performance, as shown in Figure 4.19. It was hoped though, that the nonlinear solutions would perform better in hardware { the added uncertainties should demand more selective controllers. 39

Response in cm<br />

4<br />

3<br />

2<br />

1<br />

0<br />

−1<br />

−2<br />

−3<br />

SGA: Nonlinear Optimal<br />

Open Loop Response<br />

−4<br />

0 1 2 3 4 5<br />

Time<br />

6 7 8 9 10<br />

Figure 4.13: SGA: Nonlinear H 2 vs. Open Loop Response<br />

linearized H 2 (Figure 4.14 controllers in damping the vibrating beam. It did not use<br />

as much control e ort as either of these controllers, however, so it did use control<br />

e ort very e ciently.<br />

Since this control was fully nonlinear, in the sense that it was a nonlinear<br />

function of the state of the system, it was hoped that it could outperform the standard<br />

linearized approach. The fact that the LQR control provided better performance<br />

could be attributed to the fact that not enough basis functions were used, or perhaps<br />

the wrong basis functions were used. Only polynomials were used for basis functions,<br />

but logarithms or exponential functions might have performed better.<br />

4.2.6 SGA: Nonlinear H1 Control<br />

The performance of the SGA to the HJI equation is comparable to that of<br />

the SGA to the HJB equation (see Figure 4.23). It seems that in both the H 2 and<br />

the H1 cases, the linear LQR design yields better overall performance, as shown in<br />

Figure 4.19. It was hoped though, that the nonlinear solutions would perform better<br />

in hardware { the added uncertainties should demand more selective controllers.<br />

39

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