Design of active and energy-regenerative controllers for DC-motor-based suspension

Zhang, Guoguang; Cao, Jianyong; Yu, Fan

doi:10.1016/j.mechatronics.2012.09.007

Cited by 55 publications

(14 citation statements)

References 18 publications

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“…CVCVIS is newly proposed to control the PMSM for more ride comfort. Unlike the hysteresis current control (Huang et al, 2011(Huang et al, , 2012Zhang et al, 2012), it adjusts the nonlinear characteristics of the system by changing the constant DC voltage, which is determined from the battery pack number.…”

Section: Working Principle Of Cvcvismentioning

confidence: 99%

“…Soliman and Bajabaa (2012), Aldair and Wang (2011) designed the optimal active suspension system using linear matrix inequalities (LMI) optimization technique and neural-fuzzy technique, respectively; However, they did not mention the energy regenerating, which is one of the important issues in electro-mechanical systems in recent years. Huang et al (2011Huang et al ( , 2012, Zhang et al (2012) presented many control algorithms for the electromagnetic active suspension regenerating energy system based on the rotary permanent-magnet direct current motor and the ball screw mechanism. They introduced two control loops for the electromagnetic active suspension regenerating energy.…”

Section: Introductionmentioning

confidence: 99%

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Development of a control method for an electromagnetic semi-active suspension reclaiming energy with varying charge voltage in steps

Chen

Zhao

et al. 2015

Int.J Automot. Technol.

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A system of electromagnetic semi-active suspension reclaiming energy (ESASRE), with an novel control varying charge voltage in steps (CVCVIS) based optimal integrated controller, is newly proposed to improve ride comfort and energy reclaiming. The proposed CVCVIS is built by changing the number of battery packs. The dynamic model of the semiactive suspension reclaiming energy is established first, which fully accounts for the non-linear characteristics of the damping actuator reclaiming energy (DARE). The parameters of DARE are decided by a compromise between ride comfort and manufacturing cost, with consideration of installation convenience. A integrated control system for ESASRE includes a controller for calculating the real-time ideal control force based on optimal linear quadratic Gaussian (LQG) control and the other for calculating the number of charging batteries to obtain the real-time actual control force using the proposed quasilinear relation function. Performance comparisons are implemented using three suspension types: ESASRE, the passive suspension, and the ideal active suspension. The performance index of ESASRE is 19.8% lower than that of the passive suspension, and 3.82% higher than that of the active suspension. With ESASRE, the power flowing into the battery pack accounts for 77.72% of the total vibration energy absorbed by DARE.

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Section: Working Principle Of Cvcvismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a control method for an electromagnetic semi-active suspension reclaiming energy with varying charge voltage in steps

Chen

Zhao

et al. 2015

Int.J Automot. Technol.

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“…DC motors find several applications in automotive systems, such as electronic throttle control, wheels actuation, vehicle steering, braking and active suspension control [58][59][60][61][62].…”

Section: Fuzzy Kalman Filter For An Electric Motor Modelmentioning

confidence: 99%

Fuzzy Kalman Filter Validation Using the Local Statistical Approach

Rigatos

Siano

2015

Intell Ind Syst

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In fuzzy Kalman filtering, each local Kalman filter makes use of its own model about the system's dynamics and the local state estimates are fused into one single state estimate through fuzzy weighting. These models can be inaccurate or the system's dynamics may change. The objective of the paper is to provide a method for finding out which one of the models used by the local Kalman filters contains parameters that deviate from the nominal values of the parameters of the real system. This is a problem of validation of the fuzzy Kalman filter, that is solved with the use of the local statistical approach to fault diagnosis. The development of a tool which can detect incipient changes in the parameters of the fuzzy Kalman filter is important, since such types of distributed Kalman filters are used in numerous applications that need precision and reliability in the provided state estimation (sensor networks, navigation systems, industrial production systems etc.).

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“…Also, they discussed the nexus of the contour maps for the energy consumption and vibration isolation. For instance, Zhang et al designed the active suspension and energy-regenerative controllers, respectively, based on the ∞ control, which are the same as the electromechanical suspension (EMS) system [11]. The EMS system indicated that the energy regeneration with a restriction strategy can be realized.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Experimental Study on Active Energy-Regenerative Suspension Structure with Variable Universe Fuzzy PD Control

Liu

Wang

et al. 2016

Shock and Vibration

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A novel electromagnetic active suspension with an energy-regenerative structure is proposed to solve the suspension’s control consumption problem. For this new system, a 2-DOF quarter-car model is built, and dynamics performances are studied using the variable universe fuzzy theory and the PD control approach. A self-powered efficiency concept is defined to describe the regenerative structure’s contribution to the whole control consumption, and its influent factors are also discussed. Simulations are carried out using software Matlab/Simulink, and experiments are conducted on the B-class road. The results demonstrate that the variable universe fuzzy control can recycle more than 18 percent vibration energy and provide over 11 percent power for the control demand. Furthermore, the new suspension system offers a smaller body acceleration and decreases dynamic tire deflection compared to the passive ones, so as to improve both the ride comfort and the safety.

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Design of active and energy-regenerative controllers for DC-motor-based suspension

Cited by 55 publications

References 18 publications

Development of a control method for an electromagnetic semi-active suspension reclaiming energy with varying charge voltage in steps

Development of a control method for an electromagnetic semi-active suspension reclaiming energy with varying charge voltage in steps

Fuzzy Kalman Filter Validation Using the Local Statistical Approach

Modelling and Experimental Study on Active Energy-Regenerative Suspension Structure with Variable Universe Fuzzy PD Control

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