Design and Control of an Automotive Variable Hydraulic Damper Using Cuckoo Search Optimized Pid Method

Zhao, Jing; Wong, Pak Kin; Xie, Zhengchao; Ma, Xinbo; Hua, Xingqi

doi:10.1007/s12239-019-0005-z

Cited by 43 publications

(29 citation statements)

References 29 publications

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“…The observer-based PPC control strategy proposed in Section 4 was used to improve the roll behavior performance of the vehicle system under various driving conditions. Due to tire hop, the errors of state estimation and control performance would grow under the varying road levels [45]- [47]. To further explain how the PPF and MPC algorithms affect the effective control of the vehicle system, the performance of control algorithms were validated.…”

Section: B Simulation Resultsmentioning

confidence: 99%

Fuzzy Observer-Based Prescribed Performance Control of Vehicle Roll Behavior via Controllable Damper

Wang

Qin

et al. 2019

IEEE Access

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This paper presents a novel observer-based control strategy to improve the vehicle roll behavior performance through magneto-rheological (MR) dampers under steering wheel input and various road excitation conditions. Since the vehicle roll with sudden steering input is an essential part of driving safety and possesses inherent nonlinearities, the full-car nonlinear Takagi-Sugeno (T-S) fuzzy model is first established to describe the vehicle roll dynamics considering nonlinear coupling dynamics of tire lateral force and MR damper force under road excitation input. Furthermore, a T-S model-based fuzzy observer is adapted to estimate the vehicle roll angle and roll rate. The stability conditions for the used T-S observer are calculated using linear matrix inequalities (LMIs), and the proposed observer is induced by solving the proposed LMI. Based on the Lyapunov function, sliding mode theory and prescribed performance function, a novel state observer-based prescribed performance control strategy is developed to constrain the controlled vehicle roll angle and roll rate state within the prescribed performance boundaries. Finally, the proposed techniques are validated through the J-turn and Fishhook tests conducted via a high-fidelity CarSim software platform. INDEX TERMS Vehicle roll dynamics, prescribed performance control, Takagi-Sugeno fuzzy observer, state estimation, vehicle system.

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Section: B Simulation Resultsmentioning

confidence: 99%

Fuzzy Observer-Based Prescribed Performance Control of Vehicle Roll Behavior via Controllable Damper

Wang

Qin

et al. 2019

IEEE Access

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“…The output throttle opening change ΔV is sent to the motor drive subroutine and, finally, the throttle opening V and the current time t are output. In the program design, according to the parameter differences between the stable operating conditions of the engine and the special conditions, such as sudden increase or decrease in load, creatively apply MAP control ("coarse adjustment") and adaptive expert PID control ("fine adjustment") (Zhao et al, 2019). Fusion algorithms enable compatibility between the speedy, steady-state operation and fast response of throttle opening (Xie et al, 2017;Zhao et al, 2018…”

Section: Program Design Of Electric Control Governormentioning

confidence: 99%

Design of Electronic Control Governor for a Single Cylinder Gasoline Engine Based on an Intelligent Sensing Algorithm

Sun¹,

Yang²,

Ma³

et al. 2020

Eng. Agríc.

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At present, most large machinery and vehicle engines are electronically controlled but their electronic control systems are too expensive to be popularised and applied in small gasoline engines with relatively low prices. Therefore, small gasoline engines still use mechanical speed regulators. Mechanical speed regulators not only have the defects of inertia lag, friction resistance, inherent speed regulation and the like, but also have the disadvantage that dynamic performance and steady performance cannot be combined, which is not suitable for the increasingly improved speed regulation performance of gasoline engines. This paper describes the design of an electronically controlled intelligent governor for small gasoline engines. Starting from a low cost, it adopts the idea of "replacing part of the hardware with an intelligent sensing algorithm" and proposes an intelligent sensing algorithm scheme. It combines the "coarse tuning" of MAP and the "fine tuning" of adaptive expert PID. The system is proved experimentally and it not only overcomes the inherent defects of a mechanical governor and realises programmable speed regulation, but it also obtains good dynamic and steady performance, improves the power output of the engine, relieves the trouble of engine travelling and improves the freedom of carburetor matching.

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“…To be specific, in IICS, the updating formulas used in BCS, namely Eqs. (26) and (27), are replaced with Eqs. (29) and 30, respectively.…”

Section: Iics Algorithmmentioning

confidence: 99%

“…Amongst these algorithms, CS is a comparatively new one, initially introduced by Yang and Deb [22]. Due to some attractive features like good balance between the local search and global search, simplicity, and efficiency [23,24], the CS algorithm has been successfully applied to many optimization problems in various fields with promising results [25][26][27][28][29], including the parameter optimization problems in modeling manufacturing processes such as parameter estimation of a common empirical model for the temperature of cutting tools [30], estimation of soft-sensing model parameters for fermentation processes [31], and parameter identification of a neural network model for the electron beam welding process [32]. Besides, some researches have revealed that compared with PSO, GA, and some other intelligent optimization algorithms, CS is potentially far more efficient [30,33,34].…”

Section: Introductionmentioning

confidence: 99%

Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search

Yang

Zhang

2020

Neural Comput & Applic

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This article presents a hybrid model for predicting the temperature of molten steel in a ladle furnace (LF). Unique to the proposed hybrid prediction model is that its neural network-based empirical part is trained in an indirect way since the target outputs of this part are unavailable. A modified cuckoo search (CS) algorithm is used to optimize the parameters in the empirical part. The search of each individual in the traditional CS is normally performed independently, which may limit the algorithm’s search capability. To address this, a modified CS, information interaction-enhanced CS (IICS), is proposed in this article to enhance the interaction of search information between individuals and thereby the search capability of the algorithm. The performance of the proposed IICS algorithm is first verified by testing on two benchmark sets (including 16 classical benchmark functions and 29 CEC 2017 benchmark functions) and then used in optimizing the parameters in the empirical part of the proposed hybrid prediction model. The proposed hybrid model is applied to actual production data from a 300 t LF at Baoshan Iron & Steel Co. Ltd, one of China's most famous integrated iron and steel enterprises, and the results show that the proposed hybrid prediction model is effective with comparatively high accuracy.

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Design and Control of an Automotive Variable Hydraulic Damper Using Cuckoo Search Optimized Pid Method

Cited by 43 publications

References 29 publications

Fuzzy Observer-Based Prescribed Performance Control of Vehicle Roll Behavior via Controllable Damper

Fuzzy Observer-Based Prescribed Performance Control of Vehicle Roll Behavior via Controllable Damper

Design of Electronic Control Governor for a Single Cylinder Gasoline Engine Based on an Intelligent Sensing Algorithm

Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search

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