Immune algorithm based fixed order controller design and system simulation

Mahar, Faizullah; Azhar, Ali; Karim, Abid

doi:10.1109/issse.2010.5607048

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…A PID control is universal feedback control apparatus and it makes up 90% of controllers in commercial control systems. The PID controller was first employed in the marketplace in the year 1939 and has continued the most widely used controller in industrial applications [1].…”

Section: Introductionmentioning

confidence: 99%

Tuning of PID Controller Using GA for Ball and Hoop System

Maha¹

2016

ujca

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The PID controller is one of the control strategies having simple structure was understood by plant operator, which is comparatively easy to tune. Irrespective of the attractiveness, the tuning characteristic of PID controllers is a task for engineers and scientists. Numerous procedures for tuning PID-controllers are recommended such as: Ziegler Nichols tuning method auto-tuning, artificial intelligence and optimization techniques. Evolutionary optimization techniques (EOTs) as emergent techniques, an efficient GA-based tuning approach aiming at enhancing PID control for complex processes is proposed. The test and simulation results demonstrate that the GA-based proposed scheme is capable and can be used to overcome the flaws of traditional fixed gain controller. The main role of the article is to appraise the algorithm for tuning of PID-controller gains along with minimization of cost function and argue about the capability, computational efficiency of GA to solve the problems in control systems.

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Section: Introductionmentioning

confidence: 99%

Tuning of PID Controller Using GA for Ball and Hoop System

Maha¹

2016

ujca

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“…Regardless of the existing elegant methods of optimal and robust control engineers complain about the gap between theories and practice in control systems many of the designed techniques cannot incorporate realistic constraints such as fixed structure [6]. Interesting ways solving the problems are heuristic algorithms.…”

Section: Introductionmentioning

confidence: 99%

“…Interesting ways solving the problems are heuristic algorithms. PID controller is one of the most primitive developed control tactics [7].…”

Section: Introductionmentioning

confidence: 99%

EOTs Based Fixed Order Controller Design and Performance Analysis

Mahar¹,

Ali²,

Hussain³

et al. 2012

IJMLC

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Evolutionary optimizations techniques (EOTs) are stochastic search techniques that direct a population of solutions towards best possible results by using the natural principles. In recent years, these algorithms have grown to be an accepted optimization tool for many areas of scientific and engineering research, together with control system engineering design. Significant research exists concerning evolutionary algorithms to control system design and robustness performance analysis of controller. But, little work has been done with evolutionary optimization algorithms because of the problems related with robustness performance in early period of the evolution of controllers. Moreover, until recently the robustness performance of controllers based on evolutionary algorithms has not been researched in stipulate. The scope of this research covers generalized robustness performance condition and detailed analysis of the resultant control system.

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