• Coupled systems mechanics
• /
• 제7권6호
• /
• pp.707-729
• /
• 2018

The semi-active optimal vibration control of nonlinear torsion-bar suspension vehicle systems under random road excitations is an important research subject, and the boundedness of MR dampers and the uncertainty of vehicle systems are necessary to consider. In this paper, the differential equations of motion of the coupling torsion-bar suspension vehicle system with MR damper under random road excitation are derived and then transformed into strongly nonlinear stochastic coupling vibration equations. The dynamical programming equation is derived based on the stochastic dynamical programming principle firstly for the nonlinear stochastic system. The semi-active bounded parametric optimal control law is determined by the programming equation and MR damper dynamics. Then for the uncertain nonlinear stochastic system, the minimax dynamical programming equation is derived based on the minimax stochastic dynamical programming principle. The worst-case disturbances and corresponding semi-active bounded parametric optimal control are obtained from the programming equation under the bounded disturbance constraints and MR damper dynamics. The control strategy for the nonlinear stochastic vibration of the uncertain torsion-bar suspension vehicle system is developed. The good effectiveness of the proposed control is illustrated with numerical results. The control performances for the vehicle system with different bounds of MR damper under different vehicle speeds and random road excitations are discussed.

• Journal of Advanced Marine Engineering and Technology
• /
• 제18권2호
• /
• pp.83-90
• /
• 1994

The container crane is still operated by skillfull human operators. So an automatic crane operation system is strongly required. In this paper, the digital control method is applied to position an anti-swing control for container crane. Two methods of digital optimal regulator control and digital redesign control are used for experiment. From these experimental results, it is respected that both methods can be applied effectively to an actual container crane operation.

• International Journal of Air-Conditioning and Refrigeration
• /
• 제14권4호
• /
• pp.138-146
• /
• 2006

Recently, a technology based on the proportional integral (PI) control have grown rapidly owing to the needs for the robust capacity of the controllers from industrial building sectors. However, PI controller generally requires tuning of gains for optimal control when the outside weather condition changes. The present study presents the possibility of reinforcement learning (RL) control algorithm with PI controller adapted in the HVAC system. The optimal design criteria of RL controller was proposed in the environment chamber experiment and a theoretical analysis was also conducted using TRNSYS program.

• Journal of applied mathematics & informatics
• /
• 제25권1_2호
• /
• pp.231-244
• /
• 2007

In this paper, we use measure theory for considering asymptotically stable of an autonomous system [1] of first order nonlinear ordinary differential equations(ODE's). First, we define a nonlinear infinite-horizon optimal control problem related to the ODE. Then, by a suitable change of variable, we transform the problem to a finite-horizon nonlinear optimal control problem. Then, the problem is modified into one consisting of the minimization of a linear functional over a set of positive Radon measures. The optimal measure is approximated by a finite combination of atomic measures and the problem converted to a finite-dimensional linear programming problem. The solution to this linear programming problem is used to find a piecewise-constant control, and by using the approximated control signals, we obtain the approximate trajectories and the error functional related to it. Finally the approximated trajectories and error functional is used to for considering asymptotically stable of the original problem.

• 한국정보통신학회논문지
• /
• 제20권4호
• /
• pp.698-706
• /
• 2016

이동로봇을 원하는 위치로 최단시간 안에 이동시키기 위해 최적제어문제를 풀어야 하지만 비선형시스템이므로 해석적 접근이 매우 어렵다. 본 논문에서 유전알고리즘을 사용하여 이동로봇의 최적제어이득을 구한다. 로봇 방정식이 비선형식이므로 초기치에 따라 최적제어이득은 다르게 결정된다. 따라서 초기치 범위를 적절한 개수의 격자점으로 이산화시킨 뒤 해당 격자점에서 유전알고리즘으로 최적제어이득을 구한다. 일반적인 초기치에 대한 제어이득은 신경회로망으로 구하며 해당 격자점의 초기치와 그에 대한 최적제어이득을 신경회로망 학습데이터로 사용하고 학습시킨다. 이산화된 격자점이 아닌 다른 초기치에 대한 제어이득은 신경회로망으로부터 구한다. 마지막으로 본 논문의 제어방법의 유용성을 시뮬레이션 연구로 확인하고자 한다.

• 수산해양기술연구
• /
• 제25권1호
• /
• pp.29-34
• /
• 1989

이상과 같은 제어계의 구성방법으로 제어계를 설계할 경우에는 오차신호에 대한 PI제어기와 플란트의 상태피이드백을 아울러 행하는 제어계로 됨을 알 수 있으며, 또한 응답 시뮬레이션 결과로부터 알 수 있듯이 본 연구에서 제안하는 방법으로 제어기를 구성할 경우 양호한 제어가 가능하다. Fig.3의 플로우챠트의 그림에서 점선으로 표시된 실시간제어실험의 프로그램은 구성은 되어 있으나 실제로 실험을 행하지 못한 아쉬움이 있으며, 다음 기회에 이 부분의 실험도 행하고자 한다.

• Journal of Nutrition and Health
• /
• 제16권1호
• /
• pp.21-26
• /
• 1983

For the purpose of study on optimal gustation of salt 108 patients with hypertension(61 cases of male, 47 cases of female) were studied. And also 48 patients with non-hypertensive heart diseases and pulmonary diseases (20 cases of male, 28 cases of female ) and apparently healthy subjects (107 cases of male, 20 cases of female) were studied as control group. By adding salt into 3% rice boiled powder solution the 0.1%, 0.25% 0.5%, 0.75% and 1 % salt solutions were prepared respectively. Allowed subject to taste all above solution in landed and to point out the optimal salty taste of each subject. There were no significant difference in optimal gustation of salt among the hypertensive patients and control group. The optimal salt gustation of hypertensive patients with low salt diet was slightly lower than those with free diet The optimal salt gustation was higher in old aged persons regardless of diseases.

• Journal of Advanced Marine Engineering and Technology
• /
• 제25권5호
• /
• pp.1148-1160
• /
• 2001

An electronic control system of the automobile engine for optimal start and idle speed control has been developed. This system employs the microcoputer-based electronic control unit and crank angle sensor for precise control on fuel injection, ignition timing, and idle speed more quickly and accurately at the start and idling. Consequently, the number of misfire can be reduced during been affected by air flow rate, idle quality(roughness), spark timing, fuel injection, water temperature, and load, Thus, this electronic control system strivers to reach the optimal idle operating point, defined the lowest idle speed(fuel economy) and idle quality(roughness), under any engine operating conditions.

• 한국자동차공학회논문집
• /
• 제20권2호
• /
• pp.30-37
• /
• 2012

Pneumatic Active Engine Mount(PAEM) with open-loop control system has been developed to reduce the transmission of the idle-shake vibration induced by engine effectively and economically. A solenoid valve installed between PAEM and vacuum tank is on-off switched by the Pulse Width Modulate(PWM) control signal to decrease the dynamic stiffness of the engine mount. This paper presents the methodology to identify the optimal values of control parameters of a PAEM, i.e, turn-on timing and duty ratio of PWM signal for 6 different idle driving conditions. A scanning algorithm was first applied to the vehicle test to obtain the approximate optimal control parameters minimizing the vibration at front seat rail and at steering wheel. Then the PAEM system identification was fulfilled to find accurate optimal control parameters by using multi-layer neural networks of Levenberg-Marquardt algorithm with vehicle test data.

• 한국해양공학회지
• /
• 제19권1호
• /
• pp.87-94
• /
• 2005

This paper investigates the constant-level luffing and time optimal control of jib cranes. The constant-level luffing, which is the sustainment of the load at a constant height during luffing, is achieved by analyzing the kinematic relationship between the angular displacement of a boom and that of the main hoist motor of a jib crane. Under the assumption that the main body of the crane does not rotate, the equations of motion of the boom are derived using Newton's Second Law. The dynamic equations for the crane system are highly nonlinear; therefore, they are linearized under the small angular motion of the load to apply linear control theory. This paper investigates the time optimal control from the perspective of no-sway at a target point. A stepped velocity pattern is used to design the moving path of the jib crane. Simulation results demonstrate the effectiveness of the time optimal control, in terms of anti-sway motion of the load, while luffing the crane.