In recent years, several solutions for structural vibration control of buildings have been proposed. In particular, the combination of base-isolated structures with complementary variable damping d...

https://journals.sagepub.com/doi/pdf/10.1177/1461348417725959

Semi-active structural vibration control of base-isolated buildings using magnetorheological dampers:

An optimal delayed feedback control methodology is developed to mitigate the primary and super harmonic resonances of a flexible simply-simply supported beam with piezoelectric sensor and actuator. Stable vibratory regions of the feedback gains are obtained by using the stability conditions of eigenvalue equation. Attenuation ratio is used to evaluate the performance of vibration control by taking the proportion of peak amplitude of primary or super harmonic resonances for the suspension system with and without controllers. Optimal control parameters are obtained using an optimal method, which takes attenuation ratio as the objective function and the stable vibratory regions of the time delay and feedback gains as constraint conditions. The piezoelectric optimal controllers are designed to control the dynamic behaviour of the nonlinear dynamic system. It is found that the optimal feedback gains obtained by the optimal method result in a good control performance.

https://journals.sagepub.com/doi/pdf/10.1177/0263092316628255

Piezoelectric optimal delayed feedback control for nonlinear vibration of beams

The provision of electric vehicles (EVs) is increasing due to the need for ecological green energy. The increment in EVs leads to an intelligent electric vehicle transportation system's need instead of cloud-based systems to manage privacy and security issues. Collecting and delivering the data to current transportation systems means disclosing personal information about vehicles and drivers. We have proposed a secure and intelligent electric vehicle transportation system based on blockchain and machine learning. The proposed method utilizes the state of the art smart contract module of blockchain to build an inference engine. This system takes the sensors' data from the vehicle control unit of EV, stores it in the blockchain, makes decisions using an inference engine, and executes those decisions using actuators and user interface. We have utilized a double-layer optimized long short term memory (LSTM) algorithm to predict EV's stator temperature. We have also performed an informal analysis to demonstrate the proposed system's robustness and reliability. This system will resolve the security issues for both information and energy interactions in EVs.

Smart Contract Centric Inference Engine For Intelligent Electric Vehicle Transportation System

To design a distributed fiber optic vibration sensor for urban natural gas pipeline leak detection, the light polarization fading transmission model based on Jones matrix is built in this mixed Sag...

https://journals.sagepub.com/doi/pdf/10.1177/1461348417725949

Distributed fiber optic vibration sensor based on polarization fading model for gas pipeline leakage testing experiment

The primary aim of this paper is to attenuate the tracking error of a fractionally damped nonlocal simply supported nanobeam with harmonic excitation using fractional order PID controller via genetic algorithm. The nonlinear ordinary differential equation of motion of the nanobeam is derived using D’Alembert’s principle via Eringen’s nonlocal continuum approach. Thereafter a time varying control force is implemented based on fractional order PID approach such that the closed loop response of the beam follows a desired trajectory of a predefined random signal. Following an objective function is conceived to search for the optimal values of fractional PID parameters in order to minimize the tracking error via genetic algorithm. A special filter known as Oustaloup filter is employed to carry out the fractional order integration and differentiation numerically. Comparing the performance of the closed loop system with PID and fractional PID, it shows that the latter yields better performance.

Fractional order PID based optimal control for fractionally damped nonlocal nanobeam via genetic algorithm

Considering the nonlinear properties of spring and damping of suspension, a quarter-car model with time-delayed control is established. The Routh–Hurwitz stability criterion and stability switching method are used to analyze the stability of the system and obtain the stability region diagram. The multiobjective optimization function is established by considering the ride comfort, driving safety, and handling stability. The optimal control parameters are obtained by the optimization and simulation of the system under harmonic excitation and random excitation. In addition, the responses of the active suspension system with optimal time-delay control and the passive suspension system without control are compared. The results show that the active suspension system with time-delay displacement feedback control can reduce the vibration of the system, and there is an optimal feedback parameter combination to optimize the vehicle running state. The design of multiobjective function optimization proposed in this paper can improve ride comfort, driving safety, and handling stability and provide guidance for comprehensively improving vehicle performance.

/pdf/multiobjective-optimization-of-nonlinear-active-suspension-5b22ue1qi7.pdf

Multiobjective Optimization of Nonlinear Active Suspension System with Time-Delayed Feedback

Suspension system is one of the important parts of a vehicle, which is used to buffer the impact of uneven road to the body and passengers, so the suspension system has an important impact on the s...

https://journals.sagepub.com/doi/pdf/10.1177/1461348420918693

Reach on damping control and stability analysis of vehicle with double time-delay and five degrees of freedom:

The dynamic equations of the strongly nonlinear vibration of vehicle suspension with linear and nonlinear feedback controllers are developed. The strongly nonlinear vibration is transformed into the weakly nonlinear vibration by the nonlinear controller. The forced vibration of vehicle suspension is studied by the method of multiple scales. The regions of feedback gains obtained from the stability conditions of eigenvalue equation quantitatively are presented. Taking attenuation ratio and energy function as the objective functions, the control parameters of velocity and displacement are calculated by the minimum optimal method. Illustrative examples are given to show the effectiveness of vibration control.

https://journals.sagepub.com/doi/pdf/10.1260/0263-0923.32.4.335

Optimal Control of Nonlinear Resonances for Vehicle Suspension using Linear and Nonlinear Control

An optimal control method is provided to mitigate the cubic strongly nonlinear vibration of vehicle suspension with velocity and displacement feedback controllers. The forced vibration of the vehicle suspension is studied utilizing the methods of modified Lindstedt-Poincare and multiple scales. Ranges of feedback gains that can keep the vibration system stable are worked out by the stability conditions of eigenvalue equation. Taking the decay rate and the energy function as the objective functions and the ranges of stable vibration feedback gains as constrained conditions, the optimal feedback gains of velocity and displacement are calculated by the method of minimum method. The simulation results show that the control method can have optimal control results.

https://journals.sagepub.com/doi/pdf/10.1260/0263-0923.33.2.233

Optimal Control for Cubic Strongly Nonlinear Vibration of Automobile Suspension

When running in idle condition, the vehicle has no speeds and road excitation, and the engine vertical self-vibration is the main excitation source. In this paper, a five-degree-of-freedom half-veh...

https://journals.sagepub.com/doi/pdf/10.1177/1461348419828605

Chuanbo Ren

Papers

Multiobjective Optimization of Nonlinear Active Suspension System with Time-Delayed Feedback

Reach on damping control and stability analysis of vehicle with double time-delay and five degrees of freedom:

Optimal Control of Nonlinear Resonances for Vehicle Suspension using Linear and Nonlinear Control

Optimal Control for Cubic Strongly Nonlinear Vibration of Automobile Suspension

The double-delay reducing vibration control for five-degree-of-freedom half-vehicle model in idle condition: