Hardware-in-the-loop Simulation of Traction Control Algorithm Based on Fuzzy PID

Liang, Chao; Chao, LiBo; Ou, Yang; Lu, WenBo

doi:10.1016/j.egypro.2012.01.261

Cited by 7 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among them, we can find two states [21], PID [22], and fuzzy-logic controllers [23,24]. There are also other approaches that combine PID with fuzzy logic [25,26,27]. The design of an optimized controller capable of managing power delivery during traction is beyond the scope of this work.…”

Section: Controllermentioning

confidence: 99%

Low-Cost FPGA-Based Electronic Control Unit for Vehicle Control Systems

Fernández

Vargas

García

et al. 2019

Sensors

View full text Add to dashboard Cite

The development of new control algorithms in vehicles requires high economic resources, mainly due to the use of generic real-time instrumentation and control systems. In this work, we proposed a low-cost electronic control unit (ECU) that could be used for both development and implementation. The proposed electronic system used a hybrid system on chip (SoC) between a field-programmable gate array (FPGA) and an Advanced RISC (reduced instruction set computer) Machine (ARM) processor that allowed the execution of parallel tasks, fulfilling the real-time requirements that vehicle controls demand. Another feature of the proposed electronic system was the recording of measured data, allowing the performance of the implemented algorithm to be evaluated. All this was achieved by using modular programming that, without the need for a real-time operating system, executed the different tasks to be performed, exploiting the parallelism offered by the FPGA as well as the dual core of the ARM processor. This methodology facilitates the transition between the designing, testing, and implementation stages in the vehicle. In addition, our system is programmed with a single binary file that integrates the code of all processors as well as the hardware description of the FPGA, which speeds up the updating process. In order to validate and demonstrate the performance of the proposed electronic system as a tool for the development and implementation of control algorithms in vehicles, a series of tests was carried out on a test bench. Different traction control system (TCS) algorithms were implemented and the results were compared.

show abstract

Section: Controllermentioning

confidence: 99%

Low-Cost FPGA-Based Electronic Control Unit for Vehicle Control Systems

Fernández

Vargas

García

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…20 The engine throttle control included in a fuzzy proportional-integral-derivative (PID) traction control algorithm has been proposed. 21 However, the performance of TCS is susceptible to some variable affecting factors, such as the road and wheel inertia. To prevent possible failures caused by these factors, a fault-tolerant traction control was proposed.…”

Section: Introductionmentioning

confidence: 99%

Traction control–integrated energy management strategy for all-wheel-drive plug-in hybrid electric vehicle

Song

Zeng

et al. 2017

Advances in Mechanical Engineering

View full text Add to dashboard Cite

Plug-in hybrid electric vehicle is one of the potential candidates to tackle the stringent fuel economy standards. Many previous studies focus on optimal fuel economy by coordinating primary power source and assistant power source in plug-in hybrid electric vehicles, which usually neglects vehicle dynamic performance. All-wheel-drive plug-in hybrid electric vehicle has advantages both in fuel economy and dynamic performance. However, when all-wheel-drive plug-in hybrid electric vehicle is traveling on low cohesive roads, how to balance the conflict between traction performance and fuel economy undoubtedly will be the crucial problem. To address the issue, an integrated control strategy is proposed for all-wheel-drive plug-in hybrid electric vehicle in this article, namely, traction control system-integrated energy management strategy. A charge depletion/charge sustaining strategy is employed to realize the torque distribution mainly according to the engine optimal working region to achieve better fuel economy. Traction control system is integrated to prevent slipping of the wheels during starting and acceleration by applying engine throttle control, motor torque control, and active braking control, which improves the vehicle dynamic performance. The traction enhancement is beneficial to the improvement of fuel efficiency. By the co-simulation of MATLAB/Simulink and AMESim, the results demonstrate the effectiveness of the proposed integrated control strategy, which increases the vehicle velocity greatly and optimizes fuel economy as well.

show abstract

“…In recent years hardware in the loop method was used in many pieces of research for testing physical elements act accuracy. Some of these researches are performed based on controller implementation [31][32][33][34], and in some of the engine and sensors are real [35][36][37]. In this study, the controller is implemented as hardware in the real world and all other parts like engine and sensors were programmed at software.…”

mentioning

confidence: 99%

Fuzzy Controller Structures Investigation for Future Gas Turbine Aero-Engines

Fard

Jafari

2021

IJTPP

View full text Add to dashboard Cite

The Advisory Council for Aeronautics Research in Europe (ACARE) Flight Path 2050 focuses on ambitious and severe targets for the next generation of air travel systems (e.g., 75% reduction in CO2 emissions per passenger kilometer, a 90% reduction in NOx emissions, and 65% reduction in noise emission of flying aircraft relative to the capabilities of typical new aircraft in 2000). In order to meet these requirements, aircraft engines should work very close to their operating limits. Therefore, the importance of advanced control strategies to satisfy all engine control modes simultaneously while protecting them from malfunctions and physical damages is being more crucial these days. In the last three decades, fuzzy controllers (FCs) have been proposed as a high potential solution for performance improvement of the next generation of aircraft engines. Based on an analytic review, this paper divides the trend of FCs design into two main lines including pure FCs (PFC) and min–max FCs (MMFC). These two main architectures are then designed, implemented on hardware, and applied in a case study to analyze the advantages and disadvantages of each structure. The analysis of hardware-in-the-loop (HIL) simulation results shows that the pure FC structure would be a high potential candidate for maneuverability and response time indices improvement (e.g., military applications); while min–max FC architecture has a great potential for future civil aero-engines where the fuel consumption and steady-state responses are more important. The simulation results are also compared with those of industrial min–max controllers to confirm the feasibility and reliability of the fuzzy controllers for real-world application. The results of this paper propose a general roadmap for fuzzy controllers’ structure selection for new and next generation of aircraft engines.

show abstract

Hardware-in-the-loop Simulation of Traction Control Algorithm Based on Fuzzy PID

Cited by 7 publications

References 9 publications

Low-Cost FPGA-Based Electronic Control Unit for Vehicle Control Systems

Low-Cost FPGA-Based Electronic Control Unit for Vehicle Control Systems

Traction control–integrated energy management strategy for all-wheel-drive plug-in hybrid electric vehicle

Fuzzy Controller Structures Investigation for Future Gas Turbine Aero-Engines

Contact Info

Product

Resources

About