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Simulation study of genetic fuzzy PID cascade control system for soy flour spray drying tower
Shipin yu jixie, 2022 Objective: This paper proposed a genetic fuzzy PID cascade control system. Methods: Taking the outlet temperature as the main control quantity and the inlet temperature as the secondary controlled quantity, a cascade control system was made.
TIAN Si-qing +4 more
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World Electric Vehicle Journal, 2022 The steering system in autonomous vehicles is an essential issue that must be addressed. Appropriate control will result in a smooth and risk-free steering system.
Bustanul Arifin +3 more
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Liquor blending control based on variable universe fuzzy-Smith modle
Shipin yu jixie, 2022 Objective: Meets the requirements of no overshoot in the response of the liquor blending control system, and eliminate the influence of system time lag on its control effect.
ZHOU Yong-shuai +3 more
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A computationally efficient fuzzy control s
Alexandria Engineering Journal, 2013 This paper develops a decentralized fuzzy control scheme for MIMO nonlinear second order systems with application to robot manipulators via a combination of genetic algorithms (GAs) and fuzzy systems.
Abdel Badie Sharkawy
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An AEFA-Based Optimum Design of Fuzzy PID Controller for Attitude Control Flywheel with BLDC Motor
Aerospace, 2022 A new method for optimizing the fuzzy PID controller, based on an artificial electric field algorithm (AEFA), is proposed in this paper, aiming at improving the stability indicator of the Brushless DC (BLDC) motor for the small satellite attitude control
Zhizhou Zhang, Yang Li
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Applied Artificial Intelligence, 2023 The precise control of a complex hydraulic drive system, which is mostly dependent on the speed control of the system working shaft, contributes to an improvement in product quality.
Feng He, Yuwei Dong, Bo Hu
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Adaptive Backstepping Fuzzy Control Based on Type-2 Fuzzy System
Journal of Applied Mathematics, 2012 A novel indirect adaptive backstepping control approach based on type-2 fuzzy system is developed for a class of nonlinear systems. This approach adopts type-2 fuzzy system instead of type-1 fuzzy system to approximate the unknown functions.
Ll Yi-Min, Yue Yang, Li Li
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A Simple Fuzzy PI Control of Dual-Motor Driving Servo System
MATEC Web of Conferences, 2017 Aiming at the control problem of dual-motor driving servo system, in order to avoid the complicated numerical calculation of complicated control algorithm, we presented a simple fuzzy PI controller for the first time. Firstly, we explained system control
Zhao Haibo, Wang Chengguang
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天地一体化信息网络, 2023 The antenna tracking control system of satellite ground receiving station generally adopts PID control.Due to the infl uence of various uncertain factors, it is diffi cult to obtain the optimal control parameters for this kind of system, resulting in the
Haibin SHAN +6 more
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Interval type‑2 fuzzy aggregation operator in decision making and its application [PDF]
, 2021 Type-2 fuzzy sets (T2FSs) can deal with higher modeling and uncertainties which exist in the real-world application, specifically in the control systems.
Broumi, Said +3 more
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