1.1 Introduction
Adaptive control is an active field in the design of control systems to deal with uncertainties. The key difference between adaptive controllers and linear controllers is the adaptive controller’s ability to adjust itself to handle unknown model uncertainties. Adaptive control is roughly divided into two categories: direct and indirect. Indirect methods estimate the parameters in the plant and further use the estimated model information to adjust the controller. Direct methods are ones wherein the estimated parameters are those directly used in the adaptive controller.
In adaptive control, the operating parameters automatically adapt themselves to conform to new circumstances such as changes in the dynamics of the particular process and any arise. The adaptive would check load conditions, adapt an appropriate desired braking profile (for ex: antilock brake system and traction control), and then use feed back to implement it. With advanced adaptive controllers the gain may vary continuously with changes in operating condition (Seminarsonly, 2021).
As a prelude to other parts of this study, this chapter will discuss the background upon which this study was initiated, the statement of problems that led to this study, the Aim and Objectives of the study. Others are Significance of the study, Scope of work, Limitations of the Study and Definition of technical terms.
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