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ABSTRACT: In the process industry the loop problem is how to choose a suitable set of PID parameters because of their influence on the asymptotic stability of the system. This paper develops a PID control algorithm based on Internal Model Control (IMC) design for linear and nonlinear control systems in the discrete-time domain under satisfactory performance. Compared with traditional feedback controllers, IMC can indicate the relationship between tuning parameters to the closed-loop dynamic and robustness and guaranteed control performance. Validation results against linear and nonlinear physical plant models are convincing, with excellent closed-loop responses and good robustness in the presence of practical constraints, time-varying parameters and disturbances.
Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on; 12/2010
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ABSTRACT: This work demonstrates a simulation environment, based on Hardware-in-the-Loop (HIL) technique, designed for utilization as an operator training tool and with potentiality, at a supervisory level, for analyzing security and optimization techniques. The environment, based on Java language and Eclipse compiler, a Free Open Source Software - FOSS, has no restrictions to their utilization. The digital environment simulates an industrial plant, but utilizes a built-in system composed of a command unite, in this case an analogical PID, and an industrial inverter, produced by WEG. It was necessary to design a specific communication board, whose main component is a PIC 16F877A, to connect the PID controller and the industrial inverter to the computer environment. The system simulates a real control plant belonging to the Laboratory of Industrial Process Control of the Engineering College of UFJF. Incorporating the nonlinearities and complexities of the real plant, and running with the same time constants, the HIL developed, totally FOSS based, allows the training of operators, optimization and safety analysis of the industrial plant.
Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on; 12/2010
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ABSTRACT: This paper describes the development and a real application of a new digital self-tuning control scheme when applied to a damped pendulum system for trajectory tracking. The proposed control technique is derived from the optimization of a quadratic performance index which includes an additional weighted derivative term. The self-tuning control action is implemented with a recursive identification procedure with a covariance matrix reset scheme in order to find good process parameters. Experimental simulations show that the self-tuning controller provides a significant improvement in the system behavior, with setpoint tracking and increasing the damping of oscillations in the system over a range of operating conditions.
Industry Applications (INDUSCON), 2010 9th IEEE/IAS International Conference on; 12/2010
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Intelligent Control and Instrumentation, 1992. SICICI '92. Proceedings., Singapore International Conference on; 03/1992
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ABSTRACT: Adaptive controllers are investigated for control of a high-purity
binary distillation column. A generalized predictive controller and an
adaptive PID (proportional plus integral plus derivative) controller
based on expert system concepts are used in a multiloop configuration to
control column bottom and top compositions. The performance of these
controllers is also compared with that of the conventional PID
controller. The results obtained have shown that the adaptive PID
controller based on expert system and pattern recognition ideas provides
good results from the control, engineering, and cost-effectiveness
points of view
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on; 01/1992
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ABSTRACT: High-purity distillation columns present gain, time constants, and
delays that vary nonlinearly, making the application of conventional
controllers difficult. The behavior of linear and nonlinear self-tuning
and predictive algorithms for single-input, single-output (SISO) cases
applied to this class of processes is analyzed. Simulation results show
that all the controllers can deal efficiently with this type of process
with respect to load rejection and set-point tracking, with the
predictive algorithm exhibiting the best performance
Decision and Control, 1989., Proceedings of the 28th IEEE Conference on; 01/1990
