Trajectory tracking sliding mode control for cart and pole system
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In this paper, the abilities of Sliding Mode Control are shown its abilities in both simulation and experiment results. On Matlab/Simulink simulation, Sliding Mode Control proves its advantages over LQR control. Then, experiments show the results of applying a sliding control for real model.
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Trajectory tracking sliding mode control for cart and pole system Journal of Technical Education Science No.55 (01/2020) 56 Ho Chi Minh City University of Technology and Education TRAJECTORY TRACKING SLIDING MODE CONTROL FOR CART AND POLE SYSTEM Nguyen Minh Tam1, Huynh Xuan Dung1, Nguyen Phong Luu1, Le Thi Thanh Hoang1, Hong Gia Bao1, Nguyen Van Dong Hai1, Truong Thanh Liem2, Mircea Nitulescu3, Ionel Cristian Vladu3, 1 Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam 2 Ho Chi Minh city University of Transport, Vietnam 3 University of Craiova, Romania Received 12/01/2019, Peer reviewed 18/02/2019, Accepted for publication 29/4/2019 ABSTRACT Cart and Pole is a classical model in the control laboratories for testing control algorithm. Balancing control at equilibrium the point has been operated many times on this model with various methods. However, a control algorithm that makes system to track a suggested trajectory, when stability requirement is guaranteed by mathematics, is still opened. In this paper, the authors suggest using a sliding mode control – a nonlinear algorithm- to stabilize cart and pole system at an equilibrium point. Then, this algorithm controls the cart to track the trajectory of sine signal and pulse signal when still stabilizing pendulum on inverted position. Sliding Mode Control method is familiar in control and automation. In this paper, the abilities of Sliding Mode Control are shown its abilities in both simulation and experiment results. On Matlab/Simulink simulation, Sliding Mode Control proves its advantages over LQR control. Then, experiments show the results of applying a sliding control for real model . Keywords: cart and pole; sliding control; LQR control; balancing control; trajectory tracking control. “new” equilibrium is far from an initial 1. INTRODUCTION position, the system is un-stabilized. In order Cart and Pole (C&P) is a classical model to solve this problem, in this paper, we in control engineering. By practising on this propose a sliding mode control (SMC) model, methods to stabilize SIMO (simple method - nonlinear control algorithm- not input multiple output) systems are developed only to stabilize the C&P but also control it [1-4]. Among those methods, LQR is an tracking the sine and pulse trajectories. SMC effective method due to its simple structure. has been used widely in many laboratories Solving Ricatti equation by Matlab not only in Vietnam but also around the commands was designed to simplify the world [8], [9]. This means SMC is very process of finding a feedback control matrix popular and has high efficiency in the field of of this method. However, LQR just is a linear control- working well with many different control algorithm and often used in the nonlinear systems. Due to satisfying equilibrium problem [5], [6]. Therefore, this Lyapunov criteria, this method is proved to method just guarantees the stability of the control well C&P in both simulation and real system if its condition is near the equilibrium experiment. point. Some authors [3], [7] presented the This paper concludes 6 sections. Section tracking-LQR way for C&P by changing the 1 presents the topic of paper. Section 2 equilibrium point to force the cart moving to describes mathematical model of C&P. follow the “new” equilibrium point. But, this Section 3 lists both LQR and SMC methods way is not guaranteed by mathematics and if Tạp Chí Khoa Học Giáo Dục Kỹ Thuật Số 55 (01/2020) Trường Đại Học Sư Phạm Kỹ Thuật TP. Hồ Chí Minh 57 for stabilizing and trajectory tracking of this voltage on the motor is selected as control model. Section 4 shows simulation results. input signal. Experimental results are shown in section 5. Also from [10], in the case that moment Then, section 6 ends paper by a conclusion. caused by DC motor is transferred into force 2. MATHEMATICAL MODEL F that affects the cart, relation between the voltage on DC motor and force on a cart is From [10], mathematical structure of presented as below C&P is shown in Fig. 1 below. dl Kt Kb Kt Cm J d (4) F e dl x & m l x & & R Rm Rm R R R ...
Nội dung trích xuất từ tài liệu:
Trajectory tracking sliding mode control for cart and pole system Journal of Technical Education Science No.55 (01/2020) 56 Ho Chi Minh City University of Technology and Education TRAJECTORY TRACKING SLIDING MODE CONTROL FOR CART AND POLE SYSTEM Nguyen Minh Tam1, Huynh Xuan Dung1, Nguyen Phong Luu1, Le Thi Thanh Hoang1, Hong Gia Bao1, Nguyen Van Dong Hai1, Truong Thanh Liem2, Mircea Nitulescu3, Ionel Cristian Vladu3, 1 Ho Chi Minh City University of Technology and Education (HCMUTE), Vietnam 2 Ho Chi Minh city University of Transport, Vietnam 3 University of Craiova, Romania Received 12/01/2019, Peer reviewed 18/02/2019, Accepted for publication 29/4/2019 ABSTRACT Cart and Pole is a classical model in the control laboratories for testing control algorithm. Balancing control at equilibrium the point has been operated many times on this model with various methods. However, a control algorithm that makes system to track a suggested trajectory, when stability requirement is guaranteed by mathematics, is still opened. In this paper, the authors suggest using a sliding mode control – a nonlinear algorithm- to stabilize cart and pole system at an equilibrium point. Then, this algorithm controls the cart to track the trajectory of sine signal and pulse signal when still stabilizing pendulum on inverted position. Sliding Mode Control method is familiar in control and automation. In this paper, the abilities of Sliding Mode Control are shown its abilities in both simulation and experiment results. On Matlab/Simulink simulation, Sliding Mode Control proves its advantages over LQR control. Then, experiments show the results of applying a sliding control for real model . Keywords: cart and pole; sliding control; LQR control; balancing control; trajectory tracking control. “new” equilibrium is far from an initial 1. INTRODUCTION position, the system is un-stabilized. In order Cart and Pole (C&P) is a classical model to solve this problem, in this paper, we in control engineering. By practising on this propose a sliding mode control (SMC) model, methods to stabilize SIMO (simple method - nonlinear control algorithm- not input multiple output) systems are developed only to stabilize the C&P but also control it [1-4]. Among those methods, LQR is an tracking the sine and pulse trajectories. SMC effective method due to its simple structure. has been used widely in many laboratories Solving Ricatti equation by Matlab not only in Vietnam but also around the commands was designed to simplify the world [8], [9]. This means SMC is very process of finding a feedback control matrix popular and has high efficiency in the field of of this method. However, LQR just is a linear control- working well with many different control algorithm and often used in the nonlinear systems. Due to satisfying equilibrium problem [5], [6]. Therefore, this Lyapunov criteria, this method is proved to method just guarantees the stability of the control well C&P in both simulation and real system if its condition is near the equilibrium experiment. point. Some authors [3], [7] presented the This paper concludes 6 sections. Section tracking-LQR way for C&P by changing the 1 presents the topic of paper. Section 2 equilibrium point to force the cart moving to describes mathematical model of C&P. follow the “new” equilibrium point. But, this Section 3 lists both LQR and SMC methods way is not guaranteed by mathematics and if Tạp Chí Khoa Học Giáo Dục Kỹ Thuật Số 55 (01/2020) Trường Đại Học Sư Phạm Kỹ Thuật TP. Hồ Chí Minh 57 for stabilizing and trajectory tracking of this voltage on the motor is selected as control model. Section 4 shows simulation results. input signal. Experimental results are shown in section 5. Also from [10], in the case that moment Then, section 6 ends paper by a conclusion. caused by DC motor is transferred into force 2. MATHEMATICAL MODEL F that affects the cart, relation between the voltage on DC motor and force on a cart is From [10], mathematical structure of presented as below C&P is shown in Fig. 1 below. dl Kt Kb Kt Cm J d (4) F e dl x & m l x & & R Rm Rm R R R ...
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