Simulated and experimental study of hydraulic anti-lock braking system using sliding-mode PWM control

Wu, Ming-Chin; Shih, Ming‐Chang

doi:10.1016/s0957-4158(01)00049-6

Cited by 124 publications

(52 citation statements)

References 2 publications

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“…In this approach, it is advantageous using an optimal control which is LQR to design the feedback control where the method is well known of its robustness towards disturbances and uncertainties. For a discrete-time state-space model in (9), by minimizing the cost function in (12), the LQR gain can be determined as follows:…”

Section: Optimal Controlmentioning

confidence: 99%

“…With a compact size and design, EHA system is capable of generating high forces in fast response time and produced great durability in particular for heavy engineering system [1]. By utilizing the advantages of EHA system, different applications such as aircrafts [2], manufacturing machines [3][4][5], fatigue testing [6], hydraulic excavator [7], sheet metal forming process [8], and automotive applications [9][10][11] established that the actuator system can be more well known and crucial nowadays. Therefore, a feedback tracking control is always required in designing the high-performance for tracking and positioning EHA system.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation and Experimental Studies on Perfect Tracking Optimal Control of an Electrohydraulic Actuator System

Ghazali

Sam

Rahmat

et al. 2012

Journal of Control Science and Engineering

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This paper presents a perfect tracking optimal control for discrete-time nonminimum phase of electrohydraulic actuator (EHA) system by adopting a combination of feedback and feedforward controller. A linear-quadratic regulator (LQR) is firstly designed as a feedback controller, and a feedforward controller is then proposed to eliminate the phase error emerged by the LQR controller during the tracking control. The feedforward controller is developed by implementing the zero phase error tracking control (ZPETC) technique in which the main difficulty arises from the nonminimum phase system with no stable inverse. Subsequently, the proposed controller is performed in simulation and experimental studies where the EHA system is represented in discrete-time model that has been obtained using system identification technique. It also shows that the controller offers better performance as compared to conventional PID controller in reducing phase and gain error that typically occurred in positioning or tracking systems.

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Section: Optimal Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation and Experimental Studies on Perfect Tracking Optimal Control of an Electrohydraulic Actuator System

Ghazali

Sam

Rahmat

et al. 2012

Journal of Control Science and Engineering

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“…Over the past years, many studies on anti-lock braking system (ABS) and TCS focuses on to prevent the tire from lock up and vehicle from skidding by controlling the value of slip ratio [3][4][5][6][7]. The optimum slip ratio is important to ensure that the tire can develop a sufficient high braking force to stop the vehicle [8].…”

Section: Introductionmentioning

confidence: 99%

Study on Differential Regenerative Braking Torque Control to Increase the Stability of the Small Electric Vehicle with Four In-Wheel Motors

et al. 2016

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Abstract. Based on the advantages of the electric motor such as fast and precise torque response, the performance of the electric vehicle (EV) can be improved. During braking or driving on the cornering, the vehicle will over steer or under steer if a car turns by more or less than the amount commanded by the driver. To improve the stability of the small EV with four in-wheel motors, the differential regenerative braking torque control is proposed. In this system, the regenerative braking torque at each wheel will be controlled individually based on the value of slip ratio. If the slip ratio is greater than the optimum value, the regenerative brake will turn off. In this situation, the electric motor will not produce the regenerative braking torque. Conversely, if the slip ratio lower than the optimum value, the regenerative brake will turn on and the electric motor will generate the regenerative braking torque. In the numerical analysis, to investigate the effectiveness of the proposed model, the road condition is set to an icy road on the left tire and dry asphalt on the right tire. From the simulation results, the differential regenerative braking torque control can prevent the tire from lock-up and avoid the vehicle from skidding.

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“…Wu, Lee, & Shih (10) apply neural-fuzzy control theory to the design of the ABS controller under the influences of different road surface states. Wu, & Shih (11), (12) use the sliding-mode PWM scheme in the ABS controller Fig. 2 Relation of longitudinal µ x and lateral µ y friction coefficients to slip ratio design and build the vehicle test bench for both simulation and experiments.…”

Section: Introductionmentioning

confidence: 99%

PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation

Chen

Shih

2004

JSME Int. J., Ser. C

Self Cite

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In this research, a platform is built to accomplish a series of experiments to control the Antilock Brake System (ABS). A commercial ABS module controlled by a controller is installed and tested on the platform. The vehicle and tire models are deduced and simulated by a personal computer for real time control. An adaptive PID-type fuzzy control scheme is used. Two on-off conversion methods: pulse width modulation (PWM) and conditional on-off, are used to control the solenoid valves in the ABS module. With the pressure signal feedbacks in the caliper, vehicle dynamics and wheel speeds are computed during braking. Road surface conditions, vehicle weight and control schemes are varied in the experiments to study braking properties.

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Simulated and experimental study of hydraulic anti-lock braking system using sliding-mode PWM control

Cited by 124 publications

References 2 publications

Simulation and Experimental Studies on Perfect Tracking Optimal Control of an Electrohydraulic Actuator System

Simulation and Experimental Studies on Perfect Tracking Optimal Control of an Electrohydraulic Actuator System

Study on Differential Regenerative Braking Torque Control to Increase the Stability of the Small Electric Vehicle with Four In-Wheel Motors

PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation

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