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Loop shaping is the prime step for synthesising Quantitative Feedback Theory (QFT) based robust controllers. The synthesised QFT controller assures performance robustness in presence of parametric plant uncertainties’. In this paper for automating the controller synthesis, loop-shaping problem has been posed as multi-objective optimization problem, which is solved using particle swarm optimization algorithm. The presented approach, explores a template and bounds free method for the automatic synthesis of fixed structure QFT controller for a highly uncertain pneumatic servo actuator system. The paper also explores the use of level diagrams for choosing the ideal solution from the Pareto optimal set. From the results obtained, the designed controller offers performance robustness over a range of plant’s parametric uncertainty.

Automatic Synthesis of Optimal Fixed Structure QFT Controller for Pneumatic Servo Actuator System using Multi - objective Particle Swarm Optimization