Computational Intelligence - August 2012 - 18

Type-2 FLSs were able to model and control the
cooling water flow to achieve the target coiler entry
temperature in an HSM. It showed a substantial
improvement in performance and stability
of type-2 FLS over type-1 FLS.
The experiments and results presented in [11] show that
type-2 FLSs were able to model and control the cooling water
flow to achieve the target coiler entry temperature in an HSM.
It showed a substantial improvement in performance and stability of type-2 FLS over type-1 FLS.

Throttle
Rudder

Ailerons

Elevators

In [12] a type-2 FLS was applied to airplane
altitude control for the propulsion based RC
airplane shown in Fig. 3, where the throttle is
used to regulate the speed of the airplane by
varying the rotational speed of the propeller. The
elevator is used to control the airplane's ascent
and descent, the ailerons are used for airplane's
lateral stabilization and mid air turning, and the rudder is
used for the on-ground taxiing of the airplane.
The work compared type-1 and type-2 FLS in airplane
control. It was found that under high uncertainty levels the
type-2 FLS outperformed the type-1 FLS. Specifically, the
type-1 FLS showed oscillatory behavior around the reference
altitude set-points as shown in Fig. 4.

C. Type-2 FLSs Application in the
Modeling of Micromilling Cutting Forces

In [13], the authors present the use of a type-2 FLS for the
estimation of the dynamic cutting forces. Ren et al. note:
"The type-2 fuzzy estimation not only filters the noise and
estimates the instantaneous cutting force in micromilling
using observations acquired by sensors during cutting experiments, but also assesses the uncertainties associated with the
prediction caused by the manufacturing errors and signal

700

700

600

600
Altitude (m)

Altitude (m)

FIGURE 3 Basic airplane controls [12].

500
Reference
Actual Altitude

500

400

400

300

300
0

100 200 300 400 500 600 700 800 900
Time (s)

(a)

B. Type-2 FLSs Application
to Airplane Altitude Control

Reference
Altitude Error

0

100 200 300 400 500 600 700 800 900
Time (s)

(b)

FIGURE 4 (a) Results of the type-1 FLS in the simulation setup with uncertainties [bottom blocks are the magnified steady state responses,
(RMSE = 3.58 m)]. (b) Results of the type-2 FLS in the simulation setup with uncertainties [bottom blocks are the magnified steady state
responses (RMSE = 0.43 m)] [12].

18

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE | AUGUST 2012



Table of Contents for the Digital Edition of Computational Intelligence - August 2012

Computational Intelligence - August 2012 - Cover1
Computational Intelligence - August 2012 - Cover2
Computational Intelligence - August 2012 - 1
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