In this paper we design a fuzzy adaptive internal model control for the speed varying problem of a PMSM. The PMSM under the vector control model is studied. The designing of the fuzzy adaptive IMC involves three steps. First a standard internal model controller is designed. This model has high input saturation. A modified IMC is designed which reduces the input saturation. The variation of iner...

In many practical cases, the system has unknown or partially unknown parameters making the control more difficult. The use of adaptive control strategies is one of the most promising approaches to overcome this problem. The paper deals with the indirect adaptive control of slowly varying multivariable (MIMO) linear systems in the statespace. Our results are intended to exhibit the effectiveness...

This paper presents two indirect adaptive fuzzy control schemes for a class of uncertain continuous-time multiinput multi-output nonlinear dynamic systems. Within these schemes, fuzzy systems are employed to approximate the plant’s unknown nonlinear functions and robustifying control terms are used to compensate for approximation errors. By using a regularized matrix inverse, a stable well-defi...

This paper presents an adaptive hybrid fuzzy controller to achieve prescribed tracking performance of fractional order chaotic systems. Depending on plant knowledge and control knowledge, a weighting factor can be adjusted by combining the indirect adaptive fuzzy control effort and the direct fuzzy adaptive control effort. Nonlinear fractional order chaotic response system is fully demonstrated...

Abstract The design considerations and implementational aspects of the Adaptive Blockset for Simulink are presented. The basics of indirect adaptive controllers are summarized. The concept behind the Adaptive Blockset for Simulink is to bridge the gap between simulation and prototype controller implementation. This is done using the code generation capabilities of Real Time Workshop in combinat...

Neuromodulation is central to the adaptation and robustness of animal nervous systems. This paper explores classical paradigm indirect adaptive control design neuromodulatory controllers in conductance-based neuronal models. The maximal conductance parameters shown provide a methodology aligned with concepts neuromodulation physiology impedance robotics.

In this paper, an indirect adaptive fuzzy sliding mode control scheme is designed for hybrid electric bus. The trajectory tracking control for stopping the bus in a bus station is proposed. The control strategies of regenerative braking in the hybrid electric bus add the control difficulty of the longitudinal braking system. Its nonlinearities are estimated by adaptive fuzzy method and projecti...

Adaptive control of nonlinear systems has been an active area in recent years, but it is difficult to control unknown plants. A common approach to deal with this problem is to utilize the simultaneous identification technique. Neural networks have been employed in the identification and control of unknown nonlinear systems owing to their massive parallelism, fast adaptation and learning capabil...

'Indirect adaptive control for a class of non-linear systems with a time-varying structure', International This article maybe used for research, teaching and private study purposes. Any substantial or systematic reproduction, redistribution , reselling , loan or sub-licensing, systematic supply or distribution in any form to anyone is expressly forbidden. The publisher does not give any warrant...

We consider one of the fundamental limitations of indirect adaptive control based on the minimization of a quadratic cost criterion and the certainty equivalence principle. We show that the interaction between (closed-loop) identification and optimal control is conflictive in the sense that almost all possible limits of the sequence of parameter estimates induce suboptimal behavior of the adapt...