Design of control logic and compensation strategy for electric power steering systems

Hu, Tsung-Hsien; Yeh, Chih‐Jung; Ho, Shih-Rung; Hsu, Tsung-Hua; Lin, Ming-Chih

doi:10.1109/vppc.2008.4677471

Cited by 9 publications

(6 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Large value of may lead to rapid convergence of the algorithm to the suboptimal path by giving an excessive importance to pheromone especially at the initial random pheromones. In order to let the search to explore more and to avoid premature convergence, the pheromone concentration are allowed to evaporate at each iteration according to equation (2). Where is the rate of pheromone evaporation.…”

Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

“…Electric Power Assist Steering (EPAS) is one of the auxiliary components that make up the EV system. EPAS system can improves the energy efficiency due to its ondemand system feature which is only operating when the steering wheel is turned [2]. And only approximately onetwentieth of energy is consumed by the EPAS system compared to the conventional hydraulic power steering system and this feature make EPAS a very suitable candidate in EV steering system [3].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

PID-Ant Colony Optimization (ACO) control for Electric Power Assist Steering system for electric vehicle

Hanifah

Toha

Ahmad

2013

2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

View full text Add to dashboard Cite

Electric Power Assist Steering (EPAS) system offers a significant potential in enhancing the driving performance of a vehicle where the energy conserving issue is important. In this paper, Ant Colony Optimization (ACO) algorithm is implemented as tuning mechanism for PID controller. The aim of this hybrid controller is to minimize energy consumption of the EPAS system in Electric Vehicle (EV) by minimizing the assist current supplied to the assist motor. The ACO algorithm searching technique is applied to search for the best gain parameters of the PID controller. The fast tuning feature of ACO algorithm is the factor that distinguish this hybrid method as compared to conventional trial and error method PID controller tuning. Simulation results shows the performance and effectiveness of using ACO algorithm for PID tuning.

show abstract

Section: Ant Colony Optimization (Aco)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

PID-Ant Colony Optimization (ACO) control for Electric Power Assist Steering system for electric vehicle

Hanifah

Toha

Ahmad

2013

2013 IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA)

View full text Add to dashboard Cite

show abstract

“…The EPAS system is one of the subsystems through which we can improve the EV's efficiency as it requires energy only in the event of the steering wheel being operated by the driver [3], unlike hydraulic power-assisted steering. The subsystem control flexibility gets increased because of the system being electronically coupled with the motor and as a result not complex in terms of configuration and is less-rigid.…”

Section: Introductionmentioning

confidence: 99%

Current reduction in Electrical Vehicles via EPAS system control using MVO and GWO based tuning methodology

Kumar¹,

Chorasiya²,

Suhag³

2023

IJCDS

View full text Add to dashboard Cite

The electric power assist steering (EPAS) system has, in the recent years, emerged as an effective alternative to the conventional hydraulic powered steering system in new vehicles owing to its significant potential in minimizing energy utilization and enhancing the efficiency of driving performance. In all new electrical vehicular technology, for all sub-systems, there is a requirement of battery energy; hence energy conservation is the first essential criterion to be met. In this work, therefore, recent meta-heuristic techniques are implemented to optimally tune the proportional, integral, and derivative with filter (PIDF) controller, applied over the EPAS system, to realize the assist current reduction for its operation. The results establish the effectiveness of the novel proposition in reducing the assist current and minimizing the energy demand as compared to the conventional tuning. Apart from this, the drive torque is also reduced. Matlab® platform is used for modelling and simulations.

show abstract

“…In the work of these authors, the potential of shown (Hendricks and OKeefe [2002]) as well as adding it back to the driveline via the alternator (Silvas et al [2013]). In recent works by Hu et al [2008], El-Shaer et al [2009], Chen et al [2008], Liu et al [2008] several controllers are designed for PS systems, particularly for electric-power assisted steering (EPS), used in passenger vehicles. These controllers are built based on priorly given hardware (i.e.…”

Section: Introductionmentioning

confidence: 99%

Design of Power Steering Systems for Heavy-Duty Long-Haul Vehicles

Silvas

Backx

Hofman

et al. 2014

IFAC Proceedings Volumes

View full text Add to dashboard Cite

Design of control logic and compensation strategy for electric power steering systems

Cited by 9 publications

References 13 publications

PID-Ant Colony Optimization (ACO) control for Electric Power Assist Steering system for electric vehicle

PID-Ant Colony Optimization (ACO) control for Electric Power Assist Steering system for electric vehicle

Current reduction in Electrical Vehicles via EPAS system control using MVO and GWO based tuning methodology

Design of Power Steering Systems for Heavy-Duty Long-Haul Vehicles

Contact Info

Product

Resources

About