Tuning of PID controllers based on gain and phase margin specifications
Automatica (Journal of IFAC)
Automatic control systems (7th ed.)
Automatic control systems (7th ed.)
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
Adaptive Compensated Dynamic Inversion Control for a Helicopter with Approximate Mathematical Model
CIMCA '06 Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce
Computational Intelligence: Concepts to Implementations
Computational Intelligence: Concepts to Implementations
Brief paper: Robust PID controller tuning based on the constrained particle swarm optimization
Automatica (Journal of IFAC)
Information Processing Letters
Parametric Modelling of a TRMS Using Dynamic Spread Factor Particle Swarm Optimisation
UKSIM '09 Proceedings of the UKSim 2009: 11th International Conference on Computer Modelling and Simulation
Fast convergence strategy for particle swarm optimization using spread factor
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
The particle swarm - explosion, stability, and convergence in amultidimensional complex space
IEEE Transactions on Evolutionary Computation
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The use of active control techniques has intensified in various control applications, particularly in the field of aircraft systems. This paper presents an investigation into the control of rigid-body and flexible motion of a twin rotor multi-input multi-output system (TRMS) using intelligent inverse-model-based control schemes. The TRMS is an aerodynamic test rig representing the control challenges of modern air vehicle. The augmented feedback PID and feedforward inverse-model-based control has led to good tracking response and vibration reduction of the TRMS, with the use of particle swarm optimisation (PSO). As a comparison, methods using PID controllers are also presented. Experimental results are obtained using the test rig, confirming the viability and effectiveness of the proposed methodology as opposed to conventional PID controllers. The results and evidence from this method are justified, presented and discussed.