S. Mohanapriya, A. Dhavasumani, C. Antony Crispin Sweety, T. Satheesh, R. Sakthivel
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引用次数: 0
Abstract
In this article, a unified input delay and disturbance compensation issue has been addressed for vehicle lateral systems. Specifically, by compensating for the input delay and disturbances in the addressed system, the intended tracking performance is achieved. Moreover, a modified higher-order equivalent-input-disturbance approach is developed in light of the Majhi-Atherton modified Smith predictor technique, which aids in estimating the disturbances in the system model. In particular, the developed technique integrates the transfer function into the conventional Smith predictor block, so accurate disturbance estimation with the desired input delay compensation is guaranteed. Subsequently, sufficient criteria are formulated in the frame of linear matrix inequalities to affirm the desired tracking performance. Further, the generated linear matrix inequalities are solved to obtain the required gain matrices. In the end, the efficacy and superiority of the suggested control approach are ultimately verified through the simulation analysis for the considered numerical example.
期刊介绍:
The International Journal of Adaptive Control and Signal Processing is concerned with the design, synthesis and application of estimators or controllers where adaptive features are needed to cope with uncertainties.Papers on signal processing should also have some relevance to adaptive systems. The journal focus is on model based control design approaches rather than heuristic or rule based control design methods. All papers will be expected to include significant novel material.
Both the theory and application of adaptive systems and system identification are areas of interest. Papers on applications can include problems in the implementation of algorithms for real time signal processing and control. The stability, convergence, robustness and numerical aspects of adaptive algorithms are also suitable topics. The related subjects of controller tuning, filtering, networks and switching theory are also of interest. Principal areas to be addressed include:
Auto-Tuning, Self-Tuning and Model Reference Adaptive Controllers
Nonlinear, Robust and Intelligent Adaptive Controllers
Linear and Nonlinear Multivariable System Identification and Estimation
Identification of Linear Parameter Varying, Distributed and Hybrid Systems
Multiple Model Adaptive Control
Adaptive Signal processing Theory and Algorithms
Adaptation in Multi-Agent Systems
Condition Monitoring Systems
Fault Detection and Isolation Methods
Fault Detection and Isolation Methods
Fault-Tolerant Control (system supervision and diagnosis)
Learning Systems and Adaptive Modelling
Real Time Algorithms for Adaptive Signal Processing and Control
Adaptive Signal Processing and Control Applications
Adaptive Cloud Architectures and Networking
Adaptive Mechanisms for Internet of Things
Adaptive Sliding Mode Control.