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What is Adaptive Control

Handbook of Research on Advancements in Robotics and Mechatronics
Control approach whose control parameters tuned during control process.
Published in Chapter:
Tracking Control of a Nonholonomic Mobile Robot Using Neural Network
Şahin Yildirim (Erciyes University, Turkey) and Sertaç Savaş (Erciyes University, Turkey)
Copyright: © 2015 |Pages: 31
DOI: 10.4018/978-1-4666-7387-8.ch020
The goal of this chapter is to enable a nonholonomic mobile robot to track a specified trajectory with minimum tracking error. Towards that end, an adaptive P controller is designed whose gain parameters are tuned by using two feed-forward neural networks. Back-propagation algorithm is chosen for online learning process and posture-tracking errors are considered as error values for adjusting weights of neural networks. The tracking performance of the controller is illustrated for different trajectories with computer simulation using Matlab/Simulink. In addition, open-loop response of an experimental mobile robot is investigated for these different trajectories. Finally, the performance of the proposed controller is compared to a standard PID controller. The simulation results show that “adaptive P controller using neural networks” has superior tracking performance at adapting large disturbances for the mobile robot.
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Electrical Motor Parameters Estimator Improved by a Computational Algorithm
The control method used by a controller which must adapt to a controlled system with parameters which vary, or are initially uncertain.
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Fuzzy Adaptive Controller for Uncertain Multivariable Nonlinear Systems with Both Sector Nonlinearities and Dead-Zones
The control parameters in this approach are continuously and automatically adjusted in response to be measured process variables to achieve near-optimum system performance.
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An On-Line PSO-Based Fuzzy Logic Tuning Approach: Microgrid Frequency Control Case Study
A class of self-tuning control, where the controller parameter(s)/gain is automatically tuned to track the control objective(s).
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Adaptive Swarm Coordination and Formation Control
A structured control framework developed to control uncertain dynamical systems by tuning the control law based on the observed change in the dynamics of the system.
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Adaptive Query Processing in Data Grids
Is a form of control system whose parameters may be changed dynamically in order to adapt to a changing environment. Generally, it is a system of automatic monitoring and adjustment, usually by computer, of an industrial process. Adaptive control allows operating parameters to be changed continuously in response to a changing environment in order to achieve optimum performance.
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Education in the Era of Industry 4.0: Qualifications, Challenges, and Opportunities
It is a methodology of designing a control system that deals with uncertainties.
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