A Pointwise Approach for Synthesizing Semi-Active Vehicle Suspensions

1995 ◽  
Author(s):  
Pei-Ming Chang ◽  
Suhada Jayasuriya
Keyword(s):  
Ride Comfort ◽  
Hybrid Control ◽  
Control Law ◽  
Optimization Approach ◽  
Vehicle Suspensions ◽  
Quarter Car Model ◽  
Control Scheme ◽  
Feedback Structure ◽  
One Step ◽  
Hybrid Control Scheme

Abstract Presented in this paper is a pointwise optimization approach for synthesizing semi-active vehicle suspensions. In particular, the control algorithm is obtained by optimizing a performance index pointwise in time. The resulting control law has a state feedback structure suitable for real time implementation and is a hybrid control scheme combining a simple one-step ahead minimization and an optimal-aiming strategy specifically chosen for increased ride comfort while satisfying constraints on road traction and rattle space. Simulations with a quarter car model confirm the efficacy of the proposed approach.

scholarly journals Electronic Differential and Neuro-Fuzzy Sliding Mode Control with Extended State Observer for an Electric Vehicle System

2018 ◽  
Vol 61 ◽  
pp. 00007
Author(s):  
Ibrahim Farouk Bouguenna ◽  
Ahmed Azaiz ◽  
Ahmed Tahour ◽  
Ahmed Larbaoui
Keyword(s):  
Sliding Mode Control ◽  
Hybrid Control ◽  
Sliding Mode ◽  
Current Loop ◽  
Fuzzy Sliding Mode Control ◽  
Mode Control ◽  
Neuro Fuzzy ◽  
Control Scheme ◽  
Fuzzy Sliding Mode ◽  
Hybrid Control Scheme

In this paper a neuro-fuzzy-sliding mode control (NFSMC) with extended state observer (ESO) technique; is designed to guarantee the traction of an electric vehicle with two distinct permanent magnet synchronous motor (PMSM). Each PMSM systems (source-convertermotor) are attached to an electronic differential (ED), in order to adjust the senses of direction of the vehicle, and sustain a stable speed by adapting the difference in velocity of each motor-wheel according to the direction in the case of a turn. Two types of controllers are employed by a hybrid control scheme to assure the control and the performance of the vehicle. This hybrid control scheme guarantees the stability of the vehicle by ED, reduces the chattering phenomena in the PMSM electric motor, and improves the disturbance rejection ability which employs tow types of controllers. The neuro-fuzzy sliding mode control on the direct current loop and ESO controller on the speed loop, and the quadratic current loop; taking into account the dynamic of the vehicle. Simulation runs under Matlab/Simulink to assess the efficiency, and strength of the recommended control method on the closed loop system.

scholarly journals Transient stability control by means of under-frequency load shedding and a hybrid control scheme

2017 ◽  
Vol 28 (4) ◽  
Author(s):  
P. F. Le Roux ◽  
R.C. Bansal
Keyword(s):  
Transient Stability ◽  
Hybrid Control ◽  
Stability Control ◽  
Load Shedding ◽  
Electrical Network ◽  
Traditional Methods ◽  
Transient Fault ◽  
System A ◽  
Control Scheme ◽  
Hybrid Control Scheme

An electrical network constantly faces unforeseen events such as faults on lines, loss of load and loss of generation. Under-frequency load shedding and generator tripping are traditional methods used to stabilise a network when a transient fault occurs. These methods will prevent any network instability by shedding load or tripping the most critical generator at a calculated time when required. By executing these methods, the network can be stabilised in terms of balancing the generation and the load of a power system. A hybrid control scheme is proposed where the traditional methods are combined to reduce the stress levels exerted on the network and to minimise the load to be shed.

Performance Enhancement of Pneumatic Vibration Isolators Using Self-Tuning PID Feedback and Time-Delay-Control (TDC)-Based Feedforward Scheme

2018 ◽  
Author(s):  
Jin-Wei Liang ◽  
Hung-Yi Chen ◽  
Lyu-Cyuan Zeng
Keyword(s):  
Mathematical Model ◽  
Performance Enhancement ◽  
Control Method ◽  
Hybrid Control ◽  
Model Performance ◽  
Experimental Investigations ◽  
Isolation System ◽  
Control Scheme ◽  
Self Tuning ◽  
Hybrid Control Scheme

A hybrid control scheme that combines a self-tuning PID-feedback loop and TDC-based feedforward scheme is proposed in this study to cope with an active pneumatic vibration isolator. In order to establish an effective TDC feedforward control a reliable mathematical model of the pneumatic isolator is required and developed firstly. Numerical and experimental investigations on the validity of the mathematical model are performed. It is found that although slight discrepancy exists between predicted and observed behaviors of the system, the overall model performance is acceptable. The resultant model is then applied in the design of the TDC feedforward scheme. A neuro-based adaptive PID control is integrated with the TDC feedforward algorithm to form the hybrid control. Numerical and experimental isolation tests are carried out to examine the suppression performances of the proposed hybrid control scheme. The results show that the proposed hybrid control method outperforms solely TDC feedforward while the latter outperforms the passive isolation system. Moreover, the proposed hybrid control scheme can suppress the vibration near the system’s resonance.

Hybrid Control Scheme for Anaerobic Digestion in a CSTR-UASB Reactor System

2020 ◽  
Vol 13 (3) ◽  
Author(s):  
Atthasit Tawai ◽  
Kanyarat Kitsubthawee ◽  
Chanin Panjapornpon ◽  
Weiming Shao
Keyword(s):  
Anaerobic Digestion ◽  
Hybrid Control ◽  
Reactor System ◽  
Uasb Reactor ◽  
Control Scheme ◽  
Hybrid Control Scheme

A New Vehicle Suspension Semi-Active Control Method for Enhancing Ride Properties

2014 ◽  
Vol 968 ◽  
pp. 259-262
Author(s):  
Li Qiang Jin ◽  
Yue Liu ◽  
Jian Hua Li ◽  
Gang He
Keyword(s):  
Active Control ◽  
Control Method ◽  
Hybrid Control ◽  
Random Excitation ◽  
The Body ◽  
Body Acceleration ◽  
The Road ◽  
Vehicle Suspensions ◽  
Quarter Car Model ◽  
Power Spectral

In this paper, a new control theory will be proposed for the purpose of enhancing vehicle ride performance. In the first step, a quarter car model with two DOF will be analyzed after which the classical semi-active control idea and a new control method will be built. Then a new hybrid control model based on body acceleration and classical one will be provided, after which the advantage of this controller will be studied. All the models that proposed will be accomplished through matlab/simulink. The outcome parameters of two types, namely, the body acceleration and the suspension deflection will be compared in frequency domain among three conditions which can be described as passive, classical semi-active control and hybrid control respectively. Then random excitation will be given as the road input to get power spectral density curves for further compare. Though the curves we can easily come into a conclusion that vehicle suspensions armed with this new controller will show the best ride properties which hold practical values.

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