TAILIEUCHUNG - Designing optimal fuzzy controller for MRD based train-car suspension systems

s. The first one is to establish and optimize parameters of a sliding mode controller (SMC). The next is to design a fuzzy logic system to expand the ability of the SMC to face with the larger ranges of the load variation. The DUO is used to compensate for disturbance and uncertainty. By using the ANFIS-I-MRD and the control force estimated by the FDIC, current for the MRD at each time for stamping out chassis vibration is specified. The stability of the FDIC is analyzed via Lyapunov stability theory. | Journal of Computer Science and Cybernetics, , (2017), 289–307 DOI DESIGNING OPTIMAL FUZZY CONTROLLER FOR MRD-BASED TRAIN-CAR SUSPENSION SYSTEMS SY DZUNG NGUYEN1 , BAO DANH LAM2 1 Division of Computational Mechatronics, Institute for Computational Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam 2 Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Viet Nam 1 nguyensydung@ Abstract. Random time-varying chassis mass, which consists of passenger and cargo mass as well as the normalized wind force, causes reducing the effectiveness of smart vehicle suspensions. In order to deal with this, we develop a novel fuzzy-based dynamic inversion controller (FDIC) for the control of a train-car suspension system using a magneto-rheological damper (MRD) or MRDs. The FDIC is constituted of three main parts: i) an inverse MRD model (ANFIS-I-MRD) via a measured data set and an adaptive neuro-fuzzy inference system (ANFIS), ii) a fuzzy-based sliding mode controller (FSMC) and iii) a disturbance and uncertainty observer (DUO). The FSMC is designed via the two following steps. The first one is to establish and optimize parameters of a sliding mode controller (SMC). The next is to design a fuzzy logic system to expand the ability of the SMC to face with the larger ranges of the load variation. The DUO is used to compensate for disturbance and uncertainty. By using the ANFIS-I-MRD and the control force estimated by the FDIC, current for the MRD at each time for stamping out chassis vibration is specified. The stability of the FDIC is analyzed via Lyapunov stability theory. Surveys have shown that the FDIC could provide the improved control competence to reduce unwanted vibrations in an enlarged range of the varying chassis load. Keywords. Fuzzy sliding mode control; Fuzzy control; Sliding mode control; Compensating for Disturbance and uncertainty. 1. INTRODUCTION Vehicle .

• Cơ khí - Chế tạo máy
• Journal of Computer Science and Cybernetics
• Designing optimal fuzzy controller for MRD
• Designing optimal fuzzy controller
• Train car suspension systems
• Sliding mode controller
• Nonstandard finite difference schemes
• Solving a modified epidemiological model for computer viruses
• Nonstandard finite difference
• Computer virus propagation model
• Multi objective evolutionary algorithms
• Evolutionary algorithms and foundation
• development and open issues
• EC enables computer scientists
• Evolutionary algorithms designed
• Learning interaction measure
• Relevance feedback in image retrieval
• Multi feature query
• The fuzzy density values
• Quality of transmission aware routing in ad hoc networks
• Cross layer model combined
• The static agent
• Ad hoc networks
• QoT aware routing
• sattic agent
• Algorithm to build fuzzy decision tree for data classification problem
• Fuzziness intervals matching
• Fuzzy decision tree
• The fuzzy data mining problem
• Hedges algebras and fuzzy partition problem for qualitative attributes
• Construct the membership functions
• Fuzzy Association Rules
• Member ship functions
• Characterizations for several classes of alternative codes
• Several classes of alternative codes
• norm alternative code
• Left norm alternative code
• Two sided alternative code
• Left alternative code
• Strict alternative code
• Packet classification algorithm
• Multi way priority trie
• Significant number of researchers
• Both theoretically and experimentally proved
• Solving min max capacitated vehicle routing problem by local search
• Solving min max capacitated vehicle routing problem
• Solving min max capacitated
• Proposed algorithms compared
• Novel control approach for optimal power flow
• Hybrid wind photovoltaic diesel generation systems
• Diesel generation systems
• Analytical control model
• Mobile ad hoc network
• Valid route testing mechanism
• Using Network Simulator
• Random movement network topology
• Rough set theory
• Polynomial time complexity
• Algorithm finding object reducts
• Improved genetic algorithm
• Test data generation for simulink models
• Conventional genetic algorithm
• Generate test data for Simulink models
• Nonholonomic wheeled mobile robot
• Wheeled mobile robot
• Function neural network
• Unknown external disturbances
• Modeling the differential motion of a mobile manipulator
• Designing a new visual servoing
• Tracking a flying target
• Reinforcement learning algorithm
• Efficient navigation framework
• Autonomous mobile robots
• The mobile robots
• Interpolation based on semantic distance weighting
• Hedge algebra and its application
• Semantic distance weighting
• Bi linear interpolation
• Linguistic rule base system
• Transform the current Web
• Conceptual data model
• Ti meER model
• The temporal databases into OWL ontology
• The ER model into ontology
• Sliding mode control
• Sliding mode control for a planar parallel robot driven
• Electric motors in a task space
• The substructure method
• Greedy Randomized Adaptive Search Procedure
• Multiple Traveling Repairmen Problem with Distance Constraints
• Variable Neighborhood Descent
• Traveling Repairman Problem
• On the real world semantics interpretability
• Fuzzy rule based systems under fuzzy set approach
• Hedge algebra approach
• The RWS interpretability
• Alternating current electrical systems
• Integer quadratic programming
• Non linear knapsack problems arising
• Polynomial time approximation schemes
• Statistical implication rules
• Collaborative filtering recommender system
• Statistical implicative analysis
• The accuracy of recommender systems
• Picture fuzzy sets
• Picture fuzzy t norms
• Picture fuzzy t conorm
• De Morgan picture operator triple
• Taxonomic assignment for large scale metagenomic data
• High perfomance systems
• Large scale metagenomic data
• Achieve good performance