"Numerical linear control library"-a Mathematica-based integrated environment with the modern control algorithms

2003 ◽  
Author(s):  
B.N. Datta ◽  
D. Sarkissian
Keyword(s):  
Linear Control ◽  
Control Algorithms ◽  
Control Library ◽  
Integrated Environment ◽  
Modern Control

scholarly journals Analytical Synthesis of Non-Linear Control Algorithms of a Chemical Reactor Thermal Mode

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 644
Author(s):  
Alexander Nikolaevich Labutin ◽  
Milan Vaško ◽  
Ivan Kuric ◽  
Vladimir Yuryevich Nevinitsyn ◽  
Milan Sága ◽  
...  
Keyword(s):  
Control System ◽  
Invariant Manifolds ◽  
Exothermic Reaction ◽  
Chemical Reactor ◽  
System Structure ◽  
Linear Control ◽  
Control Algorithms ◽  
Thermal Mode ◽  
Non Linear ◽  
Analytical Synthesis

The paper deals with two approaches to the synthesis of a non-linear control system of the thermal regime of a liquid-phase chemical reactor at the realization of a bimolecular exothermic reaction. Synthesis of control algorithms is carried out by the method of analytical design of aggregated regulators (ADAR). The first variant assumes synthesis of temperature controller by classic ADAR method on the basis of a sequential set of invariant manifolds. The second one is based on the cascade control system structure. Computer simulation is used to study and compare the synthesized control systems.

Exteroceptive Sensor System of a New Developed Artificial Hand

2010 ◽  
Vol 166-167 ◽  
pp. 51-56 ◽  
Author(s):  
Cosmin Berceanu ◽  
Daniela Tarniţă ◽  
Dumitru Filip
Keyword(s):  
Sensor System ◽  
Control Algorithms ◽  
Novel Approach ◽  
Hand Force ◽  
Artificial Hand ◽  
Main Components ◽  
Modern Control

In this paper we present a novel approach regarding the exteroceptive sensor system of a new developed artificial hand. Force and proximity (distance) sensors are the main components of the exteroceptive sensor system of the new artificial hand. Modern control algorithms are conceived in relation to the signals received from these sensors.

scholarly journals Adaptive Feedback Control for a Pasteurization Process

Processes ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 930
Author(s):  
Emil D.J. Rasmussen ◽  
Massimiliano Errico ◽  
Stefania Tronci
Keyword(s):  
Control Strategy ◽  
Adaptive Algorithm ◽  
Pid Controller ◽  
Linear Control ◽  
Control Algorithms ◽  
Time Varying ◽  
Control Parameters ◽  
Adaptive Feedback ◽  
Control Approach ◽  
Adaptive Feedback Control

The milk pasteurization process is nonlinear in nature, and for this reason, the application of linear control algorithms does not guarantee the obtainment of the required performance in every condition. The problem is here addressed by proposing an adaptive algorithm, which was obtained by starting from an observer-based control approach. The main result is the obtainment of a simple PI-like controller structure, where the control parameters depend on the state of the system and are adapted online. The proposed algorithm was designed and applied on a simulated process, where the temperature dependence of the milk’s physical properties was considered. The control strategy was tested by simulating different situations, particularly when time-varying disturbances entered the system. The use of the adaptive rule reduces the variance generally introduced by the PI or PID controller.

scholarly journals Modern Control Laws for an Articulated Robotic Arm: Modeling and Simulation

2019 ◽  
Vol 9 (2) ◽  
pp. 4057-4061 ◽  
Author(s):  
J. Iqbal
Keyword(s):  
Predictive Control ◽  
Control Strategies ◽  
Lagrange Equation ◽  
Kinematic Model ◽  
Linear Control ◽  
Control Laws ◽  
Motion Trajectories ◽  
Reference Motion ◽  
Error Simulation ◽  
Modern Control

The robotic manipulator has become an integral component of modern industrial automation. The current paper deals with the mathematical modeling and non-linear control of this manipulator. DH-parameters are used to derive kinematic model while the dynamics is based on Euler-Lagrange equation. Two modern control strategies, H∞ and model predictive control (MPC), are investigated to develop the control laws. For an optimal performance, the controllers have been fine-tuned through a simulation conducted in MATLAB/Simulink environment. The designed control laws are subjected to various inputs and tested for effectiveness in transient parameters like settling time and overshoot as well as steady state error. Simulation results confirm the effectiveness of the developed controllers by precisely tracking the reference motion trajectories.

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