Design of Auto-Tuning Nonlinear PID Tracking Speed Control for Electric Vehicle with Uncertainty Consideration

Shamseldin, Mohamed Α.

doi:10.3390/wevj14040078

Cited by 13 publications

(5 citation statements)

References 32 publications

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“…Since the torque re- Engine speed adjustment is accomplished through throttle opening control. In order to reduce the time of the active speed adjustment process, PID [35,36] control is used. In this stage, engine speed needs to increase rapidly to near the motor speed.…”

Section: Torque Coordination Control Strategymentioning

confidence: 99%

An Advanced Mode Switching Control Strategy for Extended-Range Concrete Mixer Trucks

Wang,

Zeng,

Huang

et al. 2024

WEVJ

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The multi-operation scenes of extended-range concrete mixer trucks are complex and variable, and the operation mode switching process remains a challenge that involves coordinating the torque of the clutch, engine, and integrated starter generator. An unsuitable strategy will undermine the stability of the concrete mixing cylinder and shorten the service life of the clutch. This work studies the clutch control strategy based on fuzzy control theory and coordinates the torque during the mode-switching process. The improved engine control strategy is utilized to reduce friction work and energy consumption of the integrated starter generator used to compensate torque. This control strategy is verified by simulation and experiment. The results show that it can significantly decrease the torque fluctuation by 94.3%, and also reduce friction work by 20.7% compared with the conventional engine target speed ignition strategy, which substantially improves the mode switching process and prolongs the service life of the system.

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Section: Torque Coordination Control Strategymentioning

confidence: 99%

An Advanced Mode Switching Control Strategy for Extended-Range Concrete Mixer Trucks

Wang,

Zeng,

Huang

et al. 2024

WEVJ

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“…The orientation of a rigid body in a coordinate system can be characterized based on the three Euler angles, which can also be used to translate a point's coordinates from one reference frame to another and to explain the relationship between two reference frames [32][33][34][35]. The Euler angles, which show how a body rotates around the axes of a coordinate system, are represented by the symbols for the roll, pitch, and yaw angles.…”

Section: Mathematical Modeling Of Quadcopter Motionmentioning

confidence: 99%

“…and from the equation (33) This study optimizes controller design for agricultural drones by identifying a suitable penalty rate gain, understanding constraints, and drawing conclusions. It develops a design technique based on fuzzy PID control law, digitalizing traditional PID control law for modern applications and utilizing feedback for gain regulation [35][36][37][38][39].…”

Section: Control Design For Quadcopter System Stabilization Using Fuz...mentioning

confidence: 99%

Modeling of Unmanned Aerial Vehicles for Smart Agriculture Systems Using Hybrid Fuzzy PID Controllers

Amertet,

Gebresenbet,

Alwan

2024

Applied Sciences

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Unmanned aerial vehicles have a wide range of uses in the military field, non-combat situations, and civil works. Due to their ease of operation, unmanned aerial vehicles (UAVs) are highly sought after by farmers and are considered the best agricultural technologies, since different types of controller algorithms are being integrated into drone systems, making drones the most affordable option for smart agriculture sectors. PID controllers are among the controllers frequently incorporated into drone systems. Although PID controllers are frequently used in drones, they have some limitations, such as sensitivity to noise and measurement errors, which can lead to instability or oscillations in the system. On the other hand, PID controllers provide improved accuracy in drone system responses. When using PID controllers to achieve the best performance in a drone system, it is better to share the advantages of PID controllers with other intelligence controllers. One promising option is the fuzzy PID controller. The aim of this study was to control quadcopter states (rolling, altitude, and airspeed) by leveraging quadcopter technology and adding hybrid fuzzy PID controls into the system. The quadcopter system and its controllers were mathematically modeled using the Simulink/MATLAB platform, and the system was controlled by fuzzy PID controllers. For validation purposes, the fuzzy PID controller was compared with a classically tuned PID controller. For roll, height, and airspeed, the fuzzy PID controller provided an improvement of 41.5%, 11%, and 44%, respectively, over the classically tuned PID controller. Therefore, the fuzzy PID controller best suits the needs of farmers and is compatible with smart agriculture systems.

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“…The parameters for ocean waves under various conditions can be obtained as shown in Table 1. The slope of the surface of a wave under different ocean conditions can be obtained from Equation (4) and Table (1).…”

Section: Fig 2 Spectra For Ocean Waves Of Differing Heightsmentioning

confidence: 99%

Dynamic Modelling and Experimental Analysis of an Offshore Crane Payload Positioning System with a Parallel Cable-Driven Method

Ren,

Huang,

Zhao

et al. 2024

Polish Maritime Research

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The violent swinging motion of a payload imposes significant safety problems for the operation of offshore ship-mounted cranes (offshore cranes). We therefore propose a stable experimental hoisting platform for an offshore crane payload positioning system with a parallel cable-driven method (PP-PCDM), and an adaptive cable-drive anti-swing tension (ACAT) control method based on the PP-PCDM is developed to resolve the problem of swinging of the payload by limiting its spatial position. The PP-PCDM enables synchronous tracking of the movement of the payload when the crane is working. When the payload deviates from a stable state due to an external disturbance, the anti-swing cables are immediately retracted or released based on the feedback signal. The spatial position of the payload is then limited by adjusting the length and tension of the parallel cables until the payload appears stationary from the perspective of the ship’s deck. Operational safety and efficiency is substantially improved, and the proposed PP-PCDM structure and ACAT control method can be applied to a variety of different types of cranes. The results of simulations and physical experiments show that the anti-swing effect exceeds 89.86%. The PP-PCDM enables excellent performance of synchronous tracking and hoisting assistance, and ensures that the rated lifting weight of the offshore crane is not affected.

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Design of Auto-Tuning Nonlinear PID Tracking Speed Control for Electric Vehicle with Uncertainty Consideration

Cited by 13 publications

References 32 publications

An Advanced Mode Switching Control Strategy for Extended-Range Concrete Mixer Trucks

An Advanced Mode Switching Control Strategy for Extended-Range Concrete Mixer Trucks

Modeling of Unmanned Aerial Vehicles for Smart Agriculture Systems Using Hybrid Fuzzy PID Controllers

Dynamic Modelling and Experimental Analysis of an Offshore Crane Payload Positioning System with a Parallel Cable-Driven Method

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