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Compared with PID controller or fuzzy PID controller, it can be seen that the control performance with the proposed controller is better and relatively stable at different setting pressure.
The designed simplified fuzzy based sliding surface controller is able to balance the ball and beam system around its equilibrium state, which as a control perspective shows that performance of this controller is better than the conventional SMC.
By the way of comparative study of simulated results of different control techniques it is found that the overall response of adaptive controller is better than the conventional PID controller.
Results show that the performance of the BBBC based FOPID controller is better than GA optimized FOPID controller.
It is noticed that, the dynamic performance of DE optimized PI controller is better than CPSO optimized PI controllers.
Simulation results demonstrate that performance of proposed RAN2PID controller is better in comparison to other designed controllers in terms of qualitative and quantitative performance indices.
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Simulation results are obtained by using the Fractional Order PI controller are better than the ones are obtained by using the Integer Order PI controller.
The overall performance of the proposed H∞ current controller was better than that of a conventional PR controller.
The paper shows that the performance of the proposed controllers is better than previous control designs.
Observing the payload free movement (h 1 = h 2 = 0) scenario, as an example of how the BFO-optimized PID controller performance is better way than the PID, Table 6 illustrates a system performance comparison between the previously mentioned controllers in terms of overshoots, settling time, peak time, and rise time.
The test results show that the fuzzy self-adaptive PID controller's performance is better than that of the other two controllers, which provides a basis for further study and application.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com