Fuzzy logic speed control for the engine of an air-powered vehicle

Yu, Qihui; Shi, Yan; Cai, Maolin; Xu, Weiqing

doi:10.1177/1687814016641838

Cited by 17 publications

(9 citation statements)

References 24 publications

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“…19 In this study, all the variables of input and output languages of the constant-speed fuzzy controller use the triangle membership function, which has the advantages of easy implementation, simple operation preferable control performance, and widespread used in fuzzy control, 20 as shown in Figure 10. PB means positive big, PM means positive medium, PS means positive small, ZO means zero, NS means negative small, NM means negative medium, and NB means negative big.…”

Section: Constant-speed Fuzzy Logic Controllermentioning

confidence: 99%

“…Then all the variables of the fuzzy logic Selecting the membership function depends on different control objects; generally, the membership function of the fuzzy subset should be a continuous function and a symmetrical convex fuzzy set in addition to the boundary of the universe of discourse. 19 In this study, all the variables of input and output languages of the constant-speed fuzzy controller use the triangle membership function, which has the advantages of easy implementation, simple operation preferable control performance, and widespread used in fuzzy control, 20 as shown in Figure 10. PB means positive big, PM means positive medium, PS means positive small, ZO means zero, NS means negative small, NM means negative medium, and NB means negative big.…”

Section: Constant-speed Fuzzy Logic Controllermentioning

confidence: 99%

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Application of fuzzy logic in constant speed control of hydraulic retarder

Lei

Song

Zheng

et al. 2017

Advances in Mechanical Engineering

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Hydraulic retarders are extensively used in commercial vehicles because of their advantages, such as their large braking torque and long continuous operating hours. In this article, the structure and working principles of hydraulic retarders are introduced, and their dynamic characteristics are analyzed. The theoretical model of a hydraulic retarder is then established based on the dynamic analysis of a vehicle driving downhill. The braking process that involves the hydraulic retarder is divided into three stages. Moreover, the filling ratio controller of the hydraulic retarder is designed by adopting fuzzy control theory to control the braking torque of the vehicle while driving downhill. The vehicle dynamic model and constant-speed control model were then established in the MATLAB/Simulink environment. The simulation results showed that the fuzzy logic controller designed in this study has good constant-torque control and anti-inference performances, which can accurately and immediately produce braking torque to satisfy the braking requirement, thereby enabling the vehicle to drive downhill at a constant speed. As a result, the control strategy designed in this article can lead to significant improvements toward a safe road transport.

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Section: Constant-speed Fuzzy Logic Controllermentioning

confidence: 99%

Section: Constant-speed Fuzzy Logic Controllermentioning

confidence: 99%

Application of fuzzy logic in constant speed control of hydraulic retarder

Lei

Song

Zheng

et al. 2017

Advances in Mechanical Engineering

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“…In addition, it is widely used when combined with other control methods, 53,54 due to its weak dependence on precise model and good robustness. 55–57 There are mainly four parts consist in FLS, fuzzifier, inference engine, rules base and defuzzifier, and satisfactory control effect can be obtained by establishing the fuzzy system reasonably. In this article, the main innovation is that the boundary layer was introduced in fast terminal SMC and an FLS was used to adjust boundary layer parameters dynamically.…”

Section: Introductionmentioning

confidence: 99%

Practical continuous nonsingular terminal sliding mode control of a cable-driven manipulator developed for aerial robots

Zhao

Wang

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part I:

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With the increasing demand for air operations, in this article, a control algorithm is proposed for a novel light cable-driven manipulator developed for aerial robots. On account of the control problem of cable-driven manipulators, we design a time delay estimation–based nonsingular terminal sliding mode controller with a fuzzy logic system to further improve the precision of joint position tracking. First, time delay estimation technique is adopted to estimate unknown dynamics of the manipulator system. And thanks to time delay estimation, accurate dynamic model is not needed and thus the controller is model-free which makes it more practical. The main part of the controller is nonsingular terminal sliding mode which ensures satisfactory tracking precision and good robustness under time delay estimation error and external disturbances. Besides, the boundary layer is introduced for reducing chattering and was regulated by a fuzzy logic system to realize a faster convergence. Global stability and finite time convergence to equilibrium of the closed-loop control system are analyzed using Lyapunov stability theory. Finally, comparative experiments are conducted through a newly designed planar cable-driven manipulator. Experimental results show that the proposed controller has a better performance compared with a conventional nonsingular terminal sliding mode controller while control effort is almost the same.

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“…As a kind of new energy vehicle, air-powered vehicle has some advantages, such as simple structure, lightweight, explosion prevention, no pollution emissions, and so on. Hence, it has important potentials in mines, chemical plants and airports, as well as having attracted more and more engineers' attention [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Dimensionless Energy Conversion Characteristics of an Air-Powered Hydraulic Vehicle

2018

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Due to the advantages of resource conservation and less exhaust emissions, compressed air-powered vehicle has attracted more and more attention. To improve the power and efficiency of air-powered vehicle, an air-powered hydraulic vehicle was proposed. As the main part of the air-powered hydraulic vehicles, HP transformer (short for Hydropneumatic transformer) is used to convert the pneumatic power to higher hydraulic power. In this study, to illustrate the energy conversion characteristics of air-powered hydraulic vehicle, dimensionless mathematical model of the vehicle's working process was set up. Through experimental study on the vehicle, the dimensionless model was verified. Through simulation study on the vehicle, the following can be obtained: firstly, the increase of the hydraulic chamber orifice and the area ratio of the pistons can lead to a higher output power, while output pressure is just the opposite. Moreover, the increase of the output pressure and the aperture of the hydraulic chamber can lead to a higher efficiency, while area ratio of the pistons played the opposite role. This research can be referred to in the performance and design optimization of the HP transformers.presented. Furthermore, the mathematic model of the HP transformer was built. By selecting the appropriate parameter values, a dimensionless model was set up. To confirm the dimensionless mathematic model, an archetype was built and studied. Moreover, the output characteristics of the HP transformer can be studied through simulation study. Finally, the influence of the key parameters was showed to get the most suitable value. Structure of the Power System of the Air-Powered VehicleStructure of the power system of the air-powered vehicle was showed as Figure 1. From the diagram, we can easily get that the power system is primarily comprised by a compressed air tank, the HP transformer and a hydraulic motor. As the most important component of the system, the HP transformer consists of a pressure regulator, pneumatic and hydraulic chambers and an accumulator. Compressed air is stored in the air tank to provide the proper input pressure. The accumulator is used to accumulate and release energy [8,9].

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Fuzzy logic speed control for the engine of an air-powered vehicle

Cited by 17 publications

References 24 publications

Application of fuzzy logic in constant speed control of hydraulic retarder

Application of fuzzy logic in constant speed control of hydraulic retarder

Practical continuous nonsingular terminal sliding mode control of a cable-driven manipulator developed for aerial robots

Dimensionless Energy Conversion Characteristics of an Air-Powered Hydraulic Vehicle

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