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Composite PD and Fuzzy Logic Approach for Vibration of Elastic Joint Manipulator
Mohd Ashraf Ahmad,Raja Mohd Taufika Raja Ismail,Mohd Syakirin Ramli,Mohd Anwar Zawawi,Mohd Helmi Suid 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
The increased complexity of the dynamics of robots manipulator considering joint elasticity makes conventional model-based control strategies complex and difficult to synthesize. This paper presents investigations into the development of composite collocated proportional-derivative (PD) and Fuzzy Logic Control for trajectory tracking and vibration control of a flexible joint manipulator respectively. To study the effectiveness of the controllers, a collocated PD Controller is developed for tip angular position control of a flexible joint manipulator. This is then extended to incorporate a non-collocated Fuzzy Logic Controller for vibration reduction of the flexible joint system. Simulation results of the response of the flexible joint manipulator with the controllers are presented in time and frequency domains. The performances of the composite control schemes are examined in terms of input tracking capability, level of vibration reduction and time response specifications. Finally, a comparative assessment of the control techniques is presented and discussed.
Sine based Bacterial Foraging Algorithm for a Dynamic Modelling of a Twin Rotor System
Shuhairie Mohammad,Mohd Falfazli Mat Jusof,Nurul Amira Mhd Rizal,Ahmad Azwan Abd Razak,Ahmad Nor Kasruddin Nasir,Raja Mohd Taufika Raja Ismail,Mohd Ashraf Ahmad 제어로봇시스템학회 2019 제어로봇시스템학회 국제학술대회 논문집 Vol.2019 No.10
This paper introduces a sine-based position update strategy into Bacterial Foraging Algorithm (BFA). In solving many optimization problems, BFA produces an acceptable accurate solution but it presents a slow convergence speed towards the global solution. On the other hand, a sine-based position update strategy from the Sine Cosine Algorithm (SCA) utilizes an elitism in its position update equation. The elitism strategy contains a promising solution that guiding search agents toward global optima with relatively a faster speed. In this proposed technique, the sine-based position update strategy is incorporated prior to the reproduction phase of the BFA. With the consideration of the advantages of the elitism, it helps the BFA to converge faster and hence acquires better accuracy of the final solution. The proposed algorithm is tested on several CEC2014 benchmark functions that have various fitness landscapes and features. For solving a real world problem, it is applied to optimize a dynamic model of a Twin Rotor System. Result of the test shows that the proposed algorithm significantly outperforms the original BFA for both convergence speed and accuracy performances. On the other hand, result of the modelling shows that the proposed algorithm acquires the dynamic model for the Twin Rotor System with a significant smaller error.