Vibration suppression of the horizontal flexible plate using proportional– integral–derivative controller tuned by particle swarm optimization

This paper presents the development of an active vibration control for vibration suppression of the horizontal flexible plate structure using proportional–integral–derivative controller tuned by a conventional method via Ziegler–Nichols and an intelligent method known as particle swarm optimization algorithm. Initially, the experimental rig was designed and fabricated with all edges clamped at the horizontal position of the flexible plate. Data acquisition and instrumentation systems were designed and integrated into the experimental rig to collect input–output vibration data of the flexible plate. The vibration data obtained through experimental study was used to model the system using system identification technique based on auto-regressive with exogenous input structure. The plate system was modeled using particle swarm optimization algorithm and validated using mean squared error, one-step ahead prediction, and correlation tests. The stability of the model was assessed using pole zero diagram stability. The fitness function of particle swarm optimization algorithm is defined as the mean squared error between the measured and estimated output of the horizontal flexible plate system. Next, the developed model was used in the development of an active vibration control for vibration suppression on the horizontal flexible plate system using a proportional–integral–derivative controller. The proportional–integral–derivative gains are optimally determined using two different ways, the conventional method tuned by Ziegler–Nichols tuning rules and the intelligent method tuned by particle swarm optimization algorithm. The performances of developed controllers were assessed and validated. Proportional–integral–derivative-particle swarm optimization controller achieved the highest attenuation value for first mode of vibration by achieving 47.28 dB attenuation as compared to proportional–integral–derivative-Ziegler–Nichols controller which only achieved 34.21 dB attenuation

SOSIALISASI NILAI PENTING TINGGALAN ARKEOLOGI PRASEJARAH DI DESA SAWAPUDO, KECAMATAN SOROPIA

Sosialisasi Nilai Penting Tinggalan Arkeologi Prasejarah di Desa Sawapudo, Kecamatan Soropia, Kabupaten Konawe, Provinsi Sulawesi Tenggara bertujuan untuk memberikan ilmu pengetahuan tentang nilai penting cagar budaya dan manfaatnya terdadap kehidupan masyarakat. Faktor alam dan juga manusia sangat erat kaitannya dalam eksistensi dan pelestarian cagar budaya. Dari nilai yang terkandung di dalamnya, maka dapat berperan untuk pebentukan kareakter masyarakat. Karakter yang dimaksud adalah tumbuhnya cinta terhadap warisan budaya bendawi (tangible) dan implementasi nilai-nilai di dalamnya yang berguna untuk kehidupan saat ini dan masa yang akan datang.  Untuk itu, perlu dilakukan sosialisasi nilai-nilai tersebut khususnya kepada masyarakat tentang nilai-nilai penting tinggalan Arkeologi Prasejarah di Desa Sawapudo. Adapun metode pelaksanaan kegiatan ini meliputi survey kawasan situs prasejarah di Desa Sawapudo, Tutorial langsung kepada masyarakat, serta presentasi situs Tinggalan Arkeologi Prasejrah berupa temua karakteristik bentukdan ragam hias tembika yang terdapat di Gua Sawapudo Desa Sawapudo. Langka terkahir adalah wawancara terhadap masyarakat terkait manfaat pelaksanaan kegiatan sosialisasi nilai penting tinggalan Arkeologi Prasejarah didesa tersebut. Dari hasil kegiatan ini mampu menanamkan kembali nilai-nilai luhur warisan leluhur dan budaya Indonesia yang kaya akan karakter seni dan adanya kesadaran masyarakat Desa Sawapudo untuk ikut serta melestarikan cagar budaya Bangsa Indonesia sudah mulai terbentuk. Untuk itu, kegatan seperti ini diharapkan dapat terus diterapkan untuk menjaga kekaayan warisan budaya Indonesi

Modelling of extended de-weight fuzzy control for an upper-limb exoskeleton

Performing heavy physical tasks, overhead work and long working hours are some examples of activities that can lead to musculoskeletal problems in humans. To overcome this issue, automated robots such as the upper-limb exoskeleton is used to assist humans while performing tasks. However, several concerns in developing the exoskeleton have been raised such as the control strategies used. In this study, a control strategy known as the extended de-weight fuzz was proposed to ensure that the exoskeleton could be maneuvered to the desired position with the least number of errors and minimum torque requirement. The extended de-weight fuzzy is a combination of the fuzzy-based PD and fuzzy-based de-weight controller systems. The extended de-weight fuzzy was then compared with the fuzzy-based PD and PID controllers, and the performances of these controllers were compared in terms of their deviations and required torques to perform tasks. The findings show that the proposed control strategy performs better than the fuzzy-based PD and PID controller systems

Active vibration control of a horizontal flexible plate structure using intelligent proportional–integral–derivative controller tuned by fuzzy logic and artificial bee colony algorithm

This paper presents the development of an intelligent controller for vibration suppression of a horizontal flexible plate structure using hybrid Fuzzy–proportional–integral–derivative controller tuned by Ziegler–Nichols tuning rules and intelligent proportional–integral–derivative controller tuned by artificial bee colony algorithm. Active vibration control technique was implemented during the development of the controllers. The vibration data obtained through experimental rig was used to model the system using system identification technique based on auto-regressive with exogenous input model. Next, the developed model was used in the development of an active vibration control for vibration suppression of the horizontal flexible plate system using proportional–integral–derivative controller. Two types of controllers were proposed in this paper which are the hybrid Fuzzy–proportional–integral–derivative controller and intelligent proportional–integral–derivative controller tuned by artificial bee colony algorithm. The performances of the developed controllers were assessed and validated. Proportional–integral–derivative–artificial bee colony controller achieved the highest attenuation for first mode of vibration with 47.54 dB attenuation as compared to Fuzzy–proportional–integral–derivative controller with 32.04 dB attenuation. The experimental work was then conducted for the best controller to confirm the result achieved in the simulation work

Swarm intelligence for modeling a flexible plate structure system with clamped-clamped-free-free boundary condition edges

This paper presents the performance of developed model for a flexible plate structure using swarm intelligence via artificial bee colony and particle swarm optimization algorithms. An experimental rig of rectangular flexible plate with clamped-clamped-free-free edges boundary condition was designed and fabricated in this research. Then, the data acquisition and instrumentation systems were integrated on the rig to collect the input-output vibration data of flexible plate. The rig was excited during conducting the experiment using piezoelectric patch actuator to generate vibration responses. Later, the input-output data will be used to develop the model in this study. All the developed models were validated via mean squares error, one step-ahead prediction and correlation tests. The performance of developed models via artificial bee colony and particle swarm optimization algorithms has been compared each others. The simulation results show that the particle swarm optimization algorithm performs better than artificial bee colony algorithm and can be efficiently employed to be used as a platform of controller development in the future

Intelligent proportional-integral-derivate controller using metaheuristic approach via crow search algorithm for vibration suppression of flexible plate structure

Proportional-integral-derivate (PID) controller has gained popularity since the advancement of smart devices especially in suppressing the vibration on flexible structures using different approaches. Such structures required accurate and reliable responses to prevent system failures. Swarm intelligence algorithm (SIA) is one of the optimization methods based on nature that managed to solve real-world problems. Crow search is a well-known algorithm from the SIA group that can discover optimum solutions in both local and global searches by utilizing fewer tuning parameters compared to other methods. Hence, this study aimed to simulate a PID controller tuned by SIA via crow search for vibration cancellation of horizontal flexible plate structures. Prior to that, an accurate model structure is developed as a prerequisite for PID controller development. After the best model is achieved, the proportional-integral-derivative-crow-search (PID-CS) performance was compared to a traditional tuning approach known as the Ziegler Nichols (ZN) to validate its robustness. The result revealed the PID-CS outperformed the proportional-integral-derivative-Ziegler Nichols (PID-ZN) with attenuation values of 44.75 and 42.74 dB in the first mode of vibration for single sinusoidal and real disturbances, respectively. In addition, the value of mean squared error (MSE) for PID-ZN and PID-CS for single sinusoidal disturbance are 0.0167 and 0.0081, respectively. Meanwhile, PID-ZN and PID-CS achieved 2.3981 × 10 −4 and 2.3737 × 10 −4 when they were exerted with real disturbance. This proves that the PID-CS is more accurate compared to the PID-ZN as it achieved the lowest MSE value