Design of fuzzy PID controllers using modified triangular membership functions

Juang, Yau-Tarng; Chang, Yun-Tien; Huang, Chih-Peng

doi:10.1016/j.ins.2007.10.020

Cited by 86 publications

(36 citation statements)

References 17 publications

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“…Based on fuzzy control, the fuzzy PID controller can tune the three key parameters K P , K I and K D of the PID control online using fuzzy logic inference [12,13].…”

Section: Controller Designmentioning

confidence: 99%

Anti-rollover Control System Design of Articulated Off-road Vehicles

Wang

Zhang

Chen

et al. 2016

MATEC Web of Conferences

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Abstract. This paper designs an anti-rollover control system to improve articulated off-road vehicle rollover safety. This controller consists two level control which target to two different instability stages: 1) the active swing bridge adjustment control algorithm for the first stage instability; and 2) the active braking control algorithm for the second stage instability. The first level control is based on fuzzy PID control and second is based on switch control, they work together to prevent the articulated wheel loader from rollover accident. Multi-body dynamics model of a ZL50 articulated wheel loader is built by commercial software RecurDyn, and the MBD model and controller model were co-simulated under the same solver in RecurDyn/CoLink. The co-simulation results show that, during the high speed steering rollover process, these two level controller work efficiently to reduce the roll angle and improve the vehicle rollover stability.

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“…Based on fuzzy control, the fuzzy PID controller can tune the three key parameters K P , K I and K D of the PID control online using fuzzy logic inference [12,13].…”

Section: Controller Designmentioning

confidence: 99%

Anti-rollover Control System Design of Articulated Off-road Vehicles

Wang

Zhang

Chen

et al. 2016

MATEC Web of Conferences

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“…Thus, the satisfied performance requirement obtained by the fuzzy-PID controllers has been tackled in many studies [10,12,13,17,18]. In a fuzzy-PID structure, the endeavor controller can be written as…”

Section: Fuzzy-pid Controller Descriptionmentioning

confidence: 99%

Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers

Chiou

Tran

Peng

2015

Mathematical Problems in Engineering

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Based on some sort of simplified fuzzy reasoning methods and PID parameters, many fuzzy-PID controller schemes are applied to control the complicated systems, recently. Mathematical optimization calculations are making in encouraging EP with PSO yielding a higher-quality solution. In this paper, a novel HEPSO algorithm as an improved variant of stochastic optimization strategy PSO, which assigns optimization to fuzzy-PID control gains, is established. The benefit integration design of the HEPSO algorithm structure is generating and updating the new parameters for the fuzzy-PID control schemes in the short setting and operation time. The proposed controllers have demonstrated performance to MAV models.

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“…The fuzzy system is then expected to be able to reproduce the behavior of the target system. We consider how to construct a fuzzy inference system for a specific application by using modified triangular membership [20]. The standard method for constructing a fuzzy inference system [21] is a process called fuzzy modeling, it is as follows:…”

Section: Fuzzy-pid Control Algorithmmentioning

confidence: 99%

Fuzzy-PID control algorithm of a loop reactor for microbial corrosion testing

Rangel-Miranda

Alaníz-Lumbreras²,

Castaño

2015

IJET

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The thermal control of loop reactor utilized to run hydrodynamic tests of microbical corrosion, where full control of the temperature is crucial, is presented. Since the accuracy of the temperature is critical along the pipe trajectory for the microbial culture, it must be controlled with an accuracy of  0.5°C, which is achieved by an implemented fuzzy-PID (Proportional Integral and Derivative) control algorithm, capable to provide the accuracy at the temperature range required. The system counts with an especially-designed software to program the desired temperature. Several tests were carried out at different temperatures and water volumes to characterize the rising time and thermal inertia presented by the system. As a result, the performance and power consumption were notability improved.

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Design of fuzzy PID controllers using modified triangular membership functions

Cited by 86 publications

References 17 publications

Anti-rollover Control System Design of Articulated Off-road Vehicles

Anti-rollover Control System Design of Articulated Off-road Vehicles

Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers

Fuzzy-PID control algorithm of a loop reactor for microbial corrosion testing

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