Performances of PID and Different Fuzzy Methods for Controlling a Ball on Beam

Abstract

This paper develops and analyses the performances evaluation of different control strategies applied for a nonlinear motion of a ball on a beam system. Comparison results provide in-depth comprehension on the stable ability of different controllers for this real mechanical application. The three different controllers are a conventional PID method, a Mamdani-type fuzzy rule method and a Sugeno-type fuzzy rule method. In this study, the PID shows the fastest sinuous reference tracking while the Mamdani-type fuzzy method proves the highest stability performance for tracking square wave motions.

Regression Models and Fuzzy Logic Prediction of TBM Penetration Rate

“…For instance, most of anti-lock braking systems (ABS) in automotive engineering are used fuzzy logic algorithms. Algorithms of fuzzy logic model in this paper are referred to in [9] with an application of fuzzy logic for controlling clutch engagement and vibration reduction, and in [10] with the use of two fuzzy logic methods of Mamdani and Sugeno for a nonlinear and complicated system. This fuzzy logic model is set up in Matlab version 2016 as shown in Figure 7.…”

“…This completed data set is shown in appendix 1. Fuzzy logic algorithms and calculations are based on [9] and [10]. The stochastic models and distributions are referred to as in [11] and [12].…”

Development of Anti-lock Braking System (ABS) for Vehicles Braking

“…The design for a fuzzy controller is referred to in [3] and [4], in our design, two variables are selected as the inputs for the controllers as slip error between actual slip and the reference slip e θ , and the rate of change of optimum slip errorė θ . The rule viewer of fuzzy controller gives a picture of the road map of the entire fuzzy inference process.…”

“…The optimal control actions are analyzed to reach the best performances for the whole system. Performances of PID and different fuzzy logic controllers for nonlinear systems are referred in [4] where three controllers of PID, Mamdani fuzzy rule and Sugeno fuzzy rule are tested and analyzed.…”

Innovative IoT Sensing and Communication Unit in Agriculture

“…Controlling some actuators via IoT is still evolving. The different algorithms can be applied in control theory such as fuzzy [8,9] or implementation of conventional PID as described in [10,11]. Hlava et al [12] also investigated on hybrid processes.…”