This paper presents metaheuristic algorithm-based controllers for level control of conical tank system. Due to the conical shape of the tank, level control becomes a nonlinear problem. One of the industry's most widely used types of controllers is the PID controller. It becomes challenging to tune or choose PID gains when using PID controllers in nonlinear processes or plants. In these situations, conventional tuning approaches do not produce the expected outcomes. The PSO, AVO, and TLBO algorithms are used in the suggested method to adjust the PID gains. The step responses obtained are compared with the conventional IMC tuned response. The AVO tuned and TLBO tuned PID controllers gave better response as compared to PSO tuned controller and IMC tuned controller in terms of rise time and overshoot.

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Intelligent Algorithms Based Level Control of a Non-linear Conical Tank System

  • Snigdha Chaturvedi,
  • Narendra Kumar,
  • Rajesh Kumar

摘要

This paper presents metaheuristic algorithm-based controllers for level control of conical tank system. Due to the conical shape of the tank, level control becomes a nonlinear problem. One of the industry's most widely used types of controllers is the PID controller. It becomes challenging to tune or choose PID gains when using PID controllers in nonlinear processes or plants. In these situations, conventional tuning approaches do not produce the expected outcomes. The PSO, AVO, and TLBO algorithms are used in the suggested method to adjust the PID gains. The step responses obtained are compared with the conventional IMC tuned response. The AVO tuned and TLBO tuned PID controllers gave better response as compared to PSO tuned controller and IMC tuned controller in terms of rise time and overshoot.