Abstract
Objectives: To improve the closed loop response by means of reducing the rise time, settling time and overshoots by implementing a suitable method. Methods/Statistical Analysis: Three different higher order transfer functions has been considered for analysis and are approximated to First Order Plus Dead Time models (FOPDT) using process reaction curve method by applying unit step change. Particle Swarm Optimization technique; and Internal Model Control (IMC) method are used to tune Proportional, Integral and Derivative (PID) control values. Findings: The new method, Error Recursive Reduction Computational (ERRC) method has been tested on higher order systems. The proposed method ERRC is merged with PSO based PID and IMC based PID controllers in hybrid form to form new control structure. Comparative analysis was carried out between with ERRC and without ERRC. Application/Improvements: It can be applied to feedback control system i.e., feedback control applications are highly influenced in chemical, manufacturing automobile industries and etc. Keywords: Higher Orders Systems, Modeling, PID Control, Recursive Analysis, Self Regulating Process
Highlights
Proportional Integral Derivative (PID) controller is the most well-known control scheme that has been broadly actualized all through the industrial process for as far back as decades
These control parameter settings are obtained by various tuning techniques such as being ZieglerNichols (Z-N) method, the Cohen-Coon method[1,2,3], Model based PID control (IMC)[4], optimization algorithms[5] and so on
Higher order systems are approximated to first order plus dead time transfer function using process reaction curve method
Summary
Proportional Integral Derivative (PID) controller is the most well-known control scheme that has been broadly actualized all through the industrial process for as far back as decades. These control parameter settings are obtained by various tuning techniques such as being ZieglerNichols (Z-N) method, the Cohen-Coon method[1,2,3], Model based PID control (IMC)[4], optimization algorithms[5] and so on. The performance of the proposed control method in this article is tested by simulations on (approximated FOPTD models) several higher order linear systems with different characteristics
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