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Start Over Descriptor "EHB" Search Limiters Full Text Topic robust control
3 results on '"EHB"'

1. Advanced Control and Estimation Concepts, and New Hardware Topologies for Future Mobility.

Author

Assadian, Francis F. and Assadian, Francis F.

Subjects
History of engineering & technology, Technology: general issues, 4WD electric vehicle, EHB, EMB, EWB, Youla parameterization, active disturbance rejection control, actuator, adaptive cruise control, air mobility, analysis, application of speed prediction, automated driving, battery aging, bond graph, brake-by-wire, charging management, city bus transport, control, control design, controller output observer, decentralized traction system, deep learning, drift counteraction optimal control, driving force distribution, efficiency optimization, electric vehicle, electric vehicles, electrification, electro-hydraulic brake, electro-mechanical brake, electronic wedge brake, energy efficiency, energy management, energy-saving, equivalent consumption minimization, fuel cell hybrid aircraft, fuel-saving, hardware-in-the-loop experiments, hybrid electric vehicle, hybrid vehicle, independent-wheel drive, lithium ion, macroscopic traffic model, n/a, new energy vehicles, nonlinear optimization, nonlinear system, normal force estimation, optimal control, optimization, passenger comfort, planning, powertrain electrification, robust control, simulation, smooth road feeling, software tool, speed prediction, steering assistance, stochastic optimal control, supercharging, system modeling, traction control, traffic big-data, ultracapacitor, unbiased minimum variance estimation, unresolved issues, vehicle lateral dynamic and control, youla parameterization
Abstract

Summary: According to the National Research Council, the use of embedded systems throughout society could well overtake previous milestones in the information revolution. Mechatronics is the synergistic combination of electronic, mechanical engineering, controls, software and systems engineering in the design of processes and products. Mechatronic systems put "intelligence" into physical systems. Embedded sensors/actuators/processors are integral parts of mechatronic systems. The implementation of mechatronic systems is consistently on the rise. However, manufacturers are working hard to reduce the implementation cost of these systems while trying avoid compromising product quality. One way of addressing these conflicting objectives is through new automatic control methods, virtual sensing/estimation, and new innovative hardware topologies.

2. A Comparative Analysis of Brake-by-Wire Smart Actuators Using Optimization Strategies

Author

Francis Assadian and Ehsan Arasteh

Subjects
Technology, Control and Optimization, EWB, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology, bond graph, EHB, EMB, system modeling, optimization, control design, Youla parameterization, robust control, nonlinear optimization, brake-by-wire, actuator, electro-mechanical brake, electronic wedge brake, electro-hydraulic brake, Electrical and Electronic Engineering, Engineering (miscellaneous), Energy (miscellaneous)
Abstract

Since the automotive industry is shifting towards electrification, brake-by-wire technologies are becoming more prevalent. However, there has been little research comparing and optimizing brake-by-wire actuators in terms of their energy expenditure and response time. This paper investigates the comparison of three different smart brake-by-wire actuators, Electro-Hydraulic Brakes (EHB), Electro-Mechanical Brakes (EMB), and Electronic Wedge Brakes (EWB), first by defining an objective metric and then using both linear and nonlinear optimization techniques. Modeling of the actuators is performed using the bond graph method. Then, the controllers are designed using a robust control strategy, Youla parameterization. After designing the controllers, two types of optimization are performed on the actuators. Optimizations are performed in two ways: 1. by linearizing the plants and optimizing using their transfer functions and 2. by nonlinear optimization of the plants in the closed-loop following a specific clamp force target. The objective metrics or the cost functions for these optimizations are chosen to be the energy usage of the plants during the closed-loop operation, maximum power requirement, and their dynamic responsiveness. Using this optimization framework, we can show a significant improvement in the energy usage of the actuators and slight improvements in their responsiveness. In the end, the actuators are compared in terms of their energy usage for sets of initial and optimized physical parameters.

Published
2022

3. A Comparative Analysis of Brake-by-Wire Smart Actuators Using Optimization Strategies.

Author

Arasteh, Ehsan and Assadian, Francis

Subjects
*COST functions, *ACTUATORS, *BOND graphs, *ROBUST control, *ENERGY consumption, *NONLINEAR oscillators, *CLAMPS (Engineering), *RURAL electrification
Abstract

Since the automotive industry is shifting towards electrification, brake-by-wire technologies are becoming more prevalent. However, there has been little research comparing and optimizing brake-by-wire actuators in terms of their energy expenditure and response time. This paper investigates the comparison of three different smart brake-by-wire actuators, Electro-Hydraulic Brakes (EHB), Electro-Mechanical Brakes (EMB), and Electronic Wedge Brakes (EWB), first by defining an objective metric and then using both linear and nonlinear optimization techniques. Modeling of the actuators is performed using the bond graph method. Then, the controllers are designed using a robust control strategy, Youla parameterization. After designing the controllers, two types of optimization are performed on the actuators. Optimizations are performed in two ways: 1. by linearizing the plants and optimizing using their transfer functions and 2. by nonlinear optimization of the plants in the closed-loop following a specific clamp force target. The objective metrics or the cost functions for these optimizations are chosen to be the energy usage of the plants during the closed-loop operation, maximum power requirement, and their dynamic responsiveness. Using this optimization framework, we can show a significant improvement in the energy usage of the actuators and slight improvements in their responsiveness. In the end, the actuators are compared in terms of their energy usage for sets of initial and optimized physical parameters. [ABSTRACT FROM AUTHOR]

Published
2022
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